WO2019072242A1 - 数据处理方法及装置 - Google Patents

数据处理方法及装置 Download PDF

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Publication number
WO2019072242A1
WO2019072242A1 PCT/CN2018/110072 CN2018110072W WO2019072242A1 WO 2019072242 A1 WO2019072242 A1 WO 2019072242A1 CN 2018110072 W CN2018110072 W CN 2018110072W WO 2019072242 A1 WO2019072242 A1 WO 2019072242A1
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Prior art keywords
data
sequence
processing
generate
reference signal
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PCT/CN2018/110072
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English (en)
French (fr)
Inventor
李卫敏
袁志锋
胡宇洲
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中兴通讯股份有限公司
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Priority to EP18866625.9A priority Critical patent/EP3697010A4/en
Priority to US16/755,434 priority patent/US10979263B2/en
Publication of WO2019072242A1 publication Critical patent/WO2019072242A1/zh

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L27/00—Modulated-carrier systems
    • H04L27/18—Phase-modulated carrier systems, i.e. using phase-shift keying
    • H04L27/20—Modulator circuits; Transmitter circuits
    • H04L27/2032—Modulator circuits; Transmitter circuits for discrete phase modulation, e.g. in which the phase of the carrier is modulated in a nominally instantaneous manner
    • H04L27/2053—Modulator circuits; Transmitter circuits for discrete phase modulation, e.g. in which the phase of the carrier is modulated in a nominally instantaneous manner using more than one carrier, e.g. carriers with different phases
    • H04L27/206—Modulator circuits; Transmitter circuits for discrete phase modulation, e.g. in which the phase of the carrier is modulated in a nominally instantaneous manner using more than one carrier, e.g. carriers with different phases using a pair of orthogonal carriers, e.g. quadrature carriers
    • H04L27/2067—Modulator circuits; Transmitter circuits for discrete phase modulation, e.g. in which the phase of the carrier is modulated in a nominally instantaneous manner using more than one carrier, e.g. carriers with different phases using a pair of orthogonal carriers, e.g. quadrature carriers with more than two phase states
    • H04L27/2071—Modulator circuits; Transmitter circuits for discrete phase modulation, e.g. in which the phase of the carrier is modulated in a nominally instantaneous manner using more than one carrier, e.g. carriers with different phases using a pair of orthogonal carriers, e.g. quadrature carriers with more than two phase states in which the data are represented by the carrier phase, e.g. systems with differential coding
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L5/00—Arrangements affording multiple use of the transmission path
    • H04L5/003—Arrangements for allocating sub-channels of the transmission path
    • H04L5/0048—Allocation of pilot signals, i.e. of signals known to the receiver
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L27/00—Modulated-carrier systems
    • H04L27/10—Frequency-modulated carrier systems, i.e. using frequency-shift keying
    • H04L27/14—Demodulator circuits; Receiver circuits
    • H04L27/144—Demodulator circuits; Receiver circuits with demodulation using spectral properties of the received signal, e.g. by using frequency selective- or frequency sensitive elements
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L27/00—Modulated-carrier systems
    • H04L27/32—Carrier systems characterised by combinations of two or more of the types covered by groups H04L27/02, H04L27/10, H04L27/18 or H04L27/26
    • H04L27/34—Amplitude- and phase-modulated carrier systems, e.g. quadrature-amplitude modulated carrier systems
    • H04L27/36—Modulator circuits; Transmitter circuits
    • H04L27/361—Modulation using a single or unspecified number of carriers, e.g. with separate stages of phase and amplitude modulation
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L27/00—Modulated-carrier systems
    • H04L27/32—Carrier systems characterised by combinations of two or more of the types covered by groups H04L27/02, H04L27/10, H04L27/18 or H04L27/26
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L5/00—Arrangements affording multiple use of the transmission path
    • H04L5/003—Arrangements for allocating sub-channels of the transmission path
    • H04L5/0044—Arrangements for allocating sub-channels of the transmission path allocation of payload

Definitions

  • the present disclosure relates to the field of communications, and in particular to a data processing method and apparatus.
  • the 5th-generation (5G) communication technology and the future communication technology application scenarios in the related technologies include enhanced mobile broadband (eMBB), massive machine type communication (mMTC), and high reliability. Ultra Reliability Low Latency Communication (URLLC).
  • eMBB enhanced mobile broadband
  • mMTC massive machine type communication
  • URLLC Ultra Reliability Low Latency Communication
  • the eMBB scenario is used to support mobile broadband.
  • the main service requirements are large data packet transmission, high data rate, and high spectrum efficiency.
  • the mMTC scenario is used to support mass device communication.
  • the main service requirements are mass equipment and small data packet transmission.
  • the International Telecommunications Union (ITU) and the 3rd Generation Partnership Project (3GPP) have designed a target for the 5G mMTC scenario to support a connection density of 1 million devices per square kilometer; the URLLC scenario is used to support Highly reliable and low latency communication, the main business requirement is high reliability and low latency transmission.
  • the traditional communication process design based on terminal random access and base station scheduling control cannot be satisfied.
  • the main reason is that the system is connected.
  • the capacity of the incoming device is limited, the access and data transmission process takes a long time, and the signaling overhead is large.
  • a grant-free transmission (or transmission without grant) method may be considered.
  • data transmission can be performed, thereby eliminating a long and complicated random access process and scheduling control process, thereby greatly reducing transmission delay and signaling overhead.
  • multiple users or data streams can be shared to use the same transmission resources (such as time-frequency resource blocks) for non-orthogonal multiplexing to achieve non-orthogonal multiple access (Non-Orthogonal). Multiple Access, NOMA).
  • NOMA non-orthogonal multiplexing
  • NOMA non-orthogonal multiplexing
  • a disadvantage of the non-scheduled, non-orthogonal transmission scheme in the related art is that it needs to rely on the system for pre-configuration or semi-static configuration to ensure transmission resources of multiple users or data streams (such as time-frequency resources, sequences, reference signals, etc.) There is no collision, which results in a system-free scheduling mechanism that is not flexible enough and can only support a limited number of users. Or, to allow collision of transmission resources of multiple users or data streams, but to ensure system performance, the receiver complexity is very high; a large number of, for example, a preamble sequence, a pilot sequence or a reference signal can be used to reduce the collision probability. Improve the identification detection of users or data streams and the accuracy of channel estimation. However, this method consumes a large amount of resource overhead and affects system transmission efficiency.
  • the embodiments of the present disclosure provide a data processing method and apparatus, to at least solve the problems that the related technologies are not flexible enough, the number of supported users is small, the resource overhead is large, the system transmission efficiency is poor, and the receiver complexity is high.
  • a data processing method including: generating first data, wherein generating the first data includes one of: differentially encoding the second data to generate third data, using the sequence Processing the third data to generate the first data; processing the second data using a sequence to generate fourth data, differentially encoding the fourth data to generate the first data; using a sequence pair The second data is processed to generate the first data.
  • another data processing method including: acquiring sixth data, wherein acquiring the sixth data includes one of: using the sequence to detect the seventh data to obtain the eighth data. Performing differential detection on the eighth data to obtain the sixth data; performing differential detection on the seventh data to obtain ninth data, and using the sequence to detect the ninth data to obtain the sixth data; using the sequence The seventh data is detected to obtain tenth data, and the tenth data is subjected to compensation processing to obtain the sixth data.
  • a transmitter comprising: a processor and a memory storing the processor-executable instructions, when the instructions are executed by the processor, performing an operation of: generating a first Data, wherein the generating the first data comprises one of: differentially encoding the second data to generate third data, processing the third data using the sequence to generate the first data; using the sequence pair
  • the second data is processed to generate fourth data, the fourth data is differentially encoded to generate the first data, and the second data is processed using a sequence to generate the first data.
  • another receiver comprising: a processor and a memory storing the processor-executable instructions, when the instructions are executed by the processor, performing an operation of: acquiring Six data, wherein the obtaining the sixth data comprises one of: using the sequence to detect the seventh data to obtain the eighth data, and performing differential detection on the eighth data to obtain the sixth data; Seven data is differentially detected to obtain ninth data, and the ninth data is detected by using a sequence to obtain the sixth data; and the seventh data is detected by using a sequence to obtain tenth data, and the tenth data is compensated Processing acquires the sixth data.
  • a storage medium is also provided.
  • the storage medium is arranged to store program code for performing the following steps:
  • Generating first data wherein generating the first data comprises one of: differentially encoding the second data to generate third data, processing the third data using a sequence to generate the first data; using a sequence pair
  • the second data is processed to generate fourth data, the fourth data is differentially encoded to generate the first data, and the second data is processed using a sequence to generate the first data.
  • the receiver can detect and detect the user or the data stream by using the sequence detection and differential detection, and the reference signal overhead is small, and the receiver is complicated. Low degree, therefore, it can solve the problems that the related technology is not flexible enough, the number of supporting users is small, the resource overhead is large, the system transmission efficiency is poor, and the receiver complexity is high, and more flexible and efficient non-scheduling and non-orthogonal transmission can be realized. Good system transmission efficiency and low receiver complexity.
  • FIG. 1 is a flow chart of a data processing method in accordance with an embodiment of the present disclosure
  • FIG. 2 is a flow chart of another data processing method in accordance with an embodiment of the present disclosure.
  • FIG. 3 is a structural block diagram of a transmitter in accordance with an embodiment of the present disclosure.
  • FIG. 4 is a structural block diagram of a receiver in accordance with an embodiment of the present disclosure.
  • FIG. 5 is a flowchart 1 of a data processing method according to an embodiment of the present disclosure.
  • FIG. 6 is a second flowchart of a data processing method according to an embodiment of the present disclosure.
  • FIG. 7 is a third flowchart of a data processing method according to an embodiment of the present disclosure.
  • FIG. 8 is a flowchart 4 of a data processing method according to an embodiment of the present disclosure.
  • FIG. 9 is a flowchart 5 of a data processing method according to an embodiment of the present disclosure.
  • FIG. 10 is a flowchart 6 of a data processing method according to an embodiment of the present disclosure.
  • FIG. 11 is a timing diagram 1 of data processing according to an embodiment of the present disclosure.
  • FIG. 12 is a timing diagram 2 of data processing according to an embodiment of the present disclosure.
  • FIG. 13 is a timing diagram 3 of data processing according to an embodiment of the present disclosure.
  • FIG. 14 is a timing diagram 4 of data processing according to an embodiment of the present disclosure.
  • FIG. 15 is a data processing sequence diagram 5 according to an embodiment of the present disclosure.
  • the network architecture of the embodiment of the present application includes: a transmitter and a receiver, wherein the transmitter and the receiver interact with each other.
  • FIG. 1 is a flowchart of a data processing method according to an embodiment of the present disclosure. As shown in FIG. 1, the process includes the following steps:
  • Step S102 Generate first data, where the generating the first data includes one of: differentially encoding the second data to generate the third data, processing the third data by using the sequence to generate the first data, and using the sequence to the second data. Processing is performed to generate fourth data, differentially encoding the fourth data to generate first data; and processing the second data using the sequence to generate first data.
  • the receiver can detect and detect the user or the data stream by using the sequence detection and differential detection, and the reference signal overhead is small.
  • the receiver has low complexity, so it can solve the problems that the related technologies are not flexible enough, the number of supported users is small, the resource overhead is large, the system transmission efficiency is poor, and the receiver complexity is high, so that more flexible and efficient scheduling-free and non-orthogonal transmission can be realized. , with better system transmission efficiency and lower receiver complexity.
  • the executor of the foregoing steps may be a terminal, a base station, or the like, and may be a transmitter, a radio frequency module, or the like, but is not limited thereto.
  • the second data includes at least one of the following: a reference signal; data information.
  • the reference signal includes one of: a reference signal determined according to user identification information; a reference signal determined from a reference signal set; and a preset reference signal.
  • the data information includes one of the following: a data bit; and a data symbol generated by coding and modulating the data bit.
  • the data information may be one of the following: a data bit obtained by encoding a data bit to be transmitted at a transmitting end, and a data symbol obtained by encoding and modulating a data bit to be transmitted at a transmitting end.
  • the data bits include at least one of the following: valid content information; user identification information; sequence information; sequence set information; information of reference signals. It should be noted that all of the information may be carried in the data bit to be transmitted at the transmitting end, and then encoded to obtain the encoded data bit. Some of the information may also be carried in the encoded data bit. For example, the user identification information is carried in the cyclic redundancy check bits.
  • the sequence includes at least one of: a sequence randomly selected from the first sequence set; a sequence obtained from the second sequence set according to the first preset rule; and a third sequence set obtained according to system configuration information. a sequence; a randomly generated sequence; a sequence generated according to a second predetermined rule; wherein the length of the sequence is L, and L is an integer greater than one.
  • differentially encoding the second data to generate the third data includes one of: differentially encoding the second data according to a specified manner to generate third data; and differentially encoding the second data according to the reference signal and according to a specified manner.
  • Third data according to the reference signal in the second data, differentially encoding the second data according to a specified manner to generate third data; and according to the reference signal in the second data, differentiating the data symbols in the second data according to a specified manner
  • the encoding generates third data; wherein the specifying manner includes at least one of the following: frequency domain differential encoding, time domain differential encoding, time-frequency domain differential encoding, and segment differential encoding.
  • processing the third data by using the sequence to generate the first data comprises: performing a spreading process or a modulation process on the third data using the sequence to generate the first data.
  • processing the second data by using the sequence to generate the fourth data comprises: performing a spreading process or a modulation process on the second data using the sequence to generate the fourth data.
  • differentially encoding the fourth data to generate the first data includes one of: differentially encoding the fourth data according to a specified manner to generate the first data; and differentially encoding the fourth data according to the reference signal and according to a specified manner. a first data; a symbol obtained by processing the reference signal according to the use sequence included in the fourth data, differentially encoding the fourth data according to a specified manner to generate first data; and using the reference sequence according to the used sequence included in the fourth data Performing the processed symbols, performing differential encoding on the symbols obtained by processing the data symbols in the fourth data according to a specified manner to generate first data; wherein the specifying manner includes at least one of the following: frequency domain differential encoding ; time domain differential coding; time-frequency domain differential coding; piecewise differential coding.
  • processing the second data by using the sequence to generate the first data comprises: performing a spreading process or a modulation process on the second data using the sequence to generate the first data.
  • the method further includes: forming, by the first data, a transmit signal on the specified time-frequency resource, for sending, where the specified time-frequency resource is obtained by at least one of: randomly selecting, Determined according to the third preset rule, determined according to system configuration information.
  • FIG. 2 is a flowchart of another data processing method according to an embodiment of the present disclosure. As shown in FIG. 2, the process includes the following steps:
  • Step S202 the sixth data is obtained, where the acquiring the sixth data includes: performing the following: detecting the seventh data by using the sequence to obtain the eighth data, performing differential detection on the eighth data, and acquiring the sixth data;
  • the differential detection obtains the ninth data, and the ninth data is detected by using the sequence to obtain the sixth data;
  • the seventh data is detected by using the sequence to obtain the tenth data, and the tenth data is compensated to obtain the sixth data.
  • the executor of the foregoing steps may be a base station, a terminal, or the like, and may be a receiver, a receiving module, or the like, but is not limited thereto.
  • the seventh data includes at least one of the following: data received by each receiving antenna of the receiver; and data obtained by processing data received by the plurality of receiving antennas of the receiver.
  • the sequence used in step S202 includes at least one of: a sequence in a fourth sequence set; a sequence generated according to a fourth preset rule; and a fifth sequence according to the fifth sequence set and the seventh data a sequence identified in the sequence set; a sequence identified from the sixth sequence set according to the sixth sequence set and the ninth data; wherein the sequence has a length L and L is an integer greater than one;
  • the sequence in the fourth sequence set includes: each sequence in the fourth sequence set, a partial sequence in the fourth sequence set, or a sequence identified from the fourth sequence set.
  • detecting the seventh data by using the sequence to obtain the eighth data includes: using the sequence to detect the data obtained by processing the seventh data, to obtain the eighth data; and acquiring the correlation matrix according to the seventh data, The seventh data is detected by using the sequence and the correlation matrix to obtain the eighth data; the correlation matrix is obtained according to the data obtained by processing the seventh data, and the data obtained by processing the seventh data is detected by using the sequence and the correlation matrix. And obtaining the eighth data; wherein, the seventh data is processed, and the seventh data is processed by using at least one of a matrix transformation, a preset rule combination, a frequency offset compensation, and a time offset compensation.
  • performing differential detection on the eighth data to obtain the sixth data includes: performing differential detection on the eighth data according to the specified manner to obtain the sixth data, where the specified manner includes at least one of the following: frequency domain differential detection; time domain difference Detection; time-frequency domain differential detection; segmented differential detection.
  • performing differential detection on the seventh data to obtain the ninth data includes: performing differential detection on the seventh data according to the specified manner to obtain ninth data, where the specified manner includes at least one of: frequency domain differential detection; time domain difference Detection; time-frequency domain differential detection; segmented differential detection.
  • detecting, by using the sequence, the ninth data, the obtaining the sixth data includes: using the sequence to detect the data obtained by processing the ninth data, acquiring the sixth data; and acquiring the correlation matrix according to the ninth data, The ninth data is detected by using the sequence and the correlation matrix to obtain the sixth data; the correlation matrix is obtained according to the data obtained by processing the ninth data, and the data obtained by processing the ninth data is detected by using the sequence and the correlation matrix.
  • detecting the seventh data by using the sequence to obtain the tenth data includes: using the sequence to detect the data obtained by processing the seventh data to obtain the tenth data; and acquiring the correlation matrix according to the seventh data, The seventh data is detected by using the sequence and the correlation matrix to obtain the tenth data; the correlation matrix is obtained according to the data obtained by processing the seventh data, and the data obtained by processing the seventh data is detected by using the sequence and the correlation matrix. And obtaining the tenth data; wherein, the seventh data is processed, and the seventh data is processed by using at least one of a matrix transformation, a preset rule combining, a frequency offset compensation, and a time offset compensation.
  • the compensation process includes at least one of the following: channel compensation, frequency offset compensation, and time offset compensation.
  • the compensation process may also be referred to as equalization processing.
  • the channel compensation includes at least one of the following: channel attenuation amplitude compensation; channel rotation phase compensation.
  • the correlation matrix includes an autocorrelation matrix and/or a cross-correlation matrix
  • the acquisition correlation matrix may also be replaced by an acquisition covariance matrix
  • the covariance matrix includes an autocovariance matrix and/or a cross-covariance matrix, and further
  • the sequence and the covariance matrix are used for detection; the correlation matrix can also be replaced by the second-order moment, and the sequence and the second-order moment can be used for detection.
  • the method further includes: acquiring the eleventh data according to the sixth data, including at least one of: demodulating and decoding the sixth data to obtain the eleventh data;
  • the data obtained after the data is processed is demodulated and decoded to obtain the eleventh data;
  • the sixth data satisfying the first predetermined condition is demodulated and decoded to obtain the eleventh data;
  • the sixth condition that satisfies the second predetermined condition The data obtained after the data is processed is demodulated and decoded to obtain the eleventh data; the data obtained by processing the sixth data and satisfying the third predetermined condition is demodulated and decoded to obtain the eleventh data.
  • the method further includes at least one of: acquiring information from the eleventh data; and reconstructing the eleventh data to obtain the twelfth data;
  • the information obtained from the eleventh data includes at least one of the following: valid content information; user identification information; sequence information; sequence set information; reference signal information;
  • the reconstruction may be performed according to the information obtained from the eleventh data.
  • the method further includes at least one of: using the twelfth data for channel estimation, acquiring a channel estimation result; and receiving data from the receiver. Remove the interference from the twelfth data.
  • the data is detected by using a sequence to perform blind detection.
  • the data received by multiple receiver antennas of the receiver is blindly combined according to a preset rule; the data is blindly detected by traversing each candidate sequence.
  • identify sequences that may be used from each candidate sequence and use these identified sequences to blindly detect the data.
  • a transmitter, a receiver, and the like are provided to implement the foregoing embodiments and optional implementations, and details have been omitted for description.
  • the term "module” may implement a combination of software and/or hardware of a predetermined function.
  • the devices described in the following embodiments are preferably implemented in software, hardware, or a combination of software and hardware, is also possible and contemplated.
  • the apparatus includes: a processor 30 and a memory 32 storing processor-executable instructions.
  • the execution is as follows operating:
  • Generating first data wherein generating the first data comprises one of: differentially encoding the second data to generate third data, processing the third data using the sequence to generate the first data; processing the second data using the sequence to generate The fourth data, differentially encoding the fourth data to generate the first data; processing the second data using the sequence to generate the first data.
  • FIG. 4 is a structural block diagram of a receiver according to an embodiment of the present disclosure.
  • the apparatus includes: a processor 40 and a memory 42 storing processor-executable instructions. When the instructions are executed by the processor, the execution is as follows operating:
  • the acquiring the sixth data comprises: one of: using the sequence to detect the seventh data to obtain the eighth data, performing differential detection on the eighth data to obtain the sixth data; and performing differential detection on the seventh data
  • the ninth data is obtained by detecting the ninth data using the sequence to obtain the sixth data; using the sequence to detect the seventh data to obtain the tenth data, and performing the compensation processing on the tenth data to obtain the sixth data.
  • each of the above modules may be implemented by software or hardware.
  • the foregoing may be implemented by, but not limited to, the foregoing modules are all located in the same processor; or, the above modules are in any combination.
  • the forms are located in different processors.
  • the system pre-configures or semi-statically configures transmission resources for multiple users or data flows, including but not limited to time-frequency resources, Extended sequence, reference signal, etc., in which multiple users or data streams use different reference signals (ie, no collision occurs), the receiver performs user identification, channel estimation through reference signals, and transmits to multiple users or data streams.
  • the data is detected and separated.
  • the extended sequence may or may not be required, and when using the extended sequence, multiple user or data streams may use different spreading sequences (ie, no collisions) by system pre-configuration or semi-static configuration.
  • Non-scheduled, non-orthogonal transmission scheme requires a pre-configured or semi-static configuration of the system to ensure that collisions do not occur, which results in a system-free scheduling mechanism that is not flexible enough and can only support a limited number of users. Quantity.
  • the main idea of a more flexible, non-scheduled, non-orthogonal transmission scheme is that the user randomly selects transmission resources, including but not limited to time-frequency resources, preamble sequences, extension sequences, reference signals, and the like. In this scenario, transmission resources used by different users or data streams may collide.
  • this scheduling-free transmission mechanism is very flexible, due to the impact of collisions, in order to ensure the transmission performance of users and support more users, the complexity of the receiver is very high.
  • this method will It takes up a lot of resource overhead and affects system transmission efficiency.
  • This embodiment provides a data processing method including a design scheme at both ends of a transmitter and a receiver.
  • a data processing method includes: generating first data, wherein the generating the first data includes one of: performing differential encoding on the second data to generate third data, and processing the third data by using a sequence to generate The first data is processed by using the sequence to generate the fourth data, the fourth data is differentially encoded to generate the first data, and the second data is processed by the sequence to generate the first data.
  • the second data includes at least one of the following: a reference signal; and data information.
  • the reference signal includes at least one of: a reference signal determined according to user identification information; a reference signal determined from a reference signal set; and a preset reference signal.
  • the data information includes one of: a data bit; a data symbol generated by coding and modulating the data bit.
  • the data bits include at least one of: valid content information; user identification information; sequence information; sequence set information; information of the reference signal.
  • the sequence has a length L, and the sequence includes at least one of: a sequence randomly selected from the sequence set; a sequence obtained from the sequence set according to a preset rule; and a sequence set according to system configuration information. a sequence obtained in the sequence; a randomly generated sequence; a sequence generated according to a preset rule; wherein L is an integer greater than one.
  • the data is differentially encoded, including one of: differentially encoding the data according to a specified manner; differentially encoding the data according to a reference signal according to a specified manner; according to the reference in the data And performing differential encoding on the data according to a reference signal in a specified manner; and differentially encoding the data symbols in the data according to the reference signal in the data, wherein the specified manner includes at least one of the following: Domain differential coding; time domain differential coding; time-frequency domain differential coding; piecewise differential coding.
  • the using the sequence to process the data includes one of: expanding the data using the sequence; and modulating the data using the sequence.
  • a data processing method includes: acquiring sixth data, wherein the acquiring the sixth data includes one of the following methods: detecting the seventh data by using the sequence to obtain the eighth data, and performing differential detection on the eighth data.
  • the sixth data performing differential detection on the seventh data to obtain ninth data, using the sequence to detect the ninth data to obtain the sixth data; using the sequence to detect the seventh data to obtain the tenth data,
  • the tenth data is subjected to a designation process to acquire the sixth data.
  • the seventh data includes at least one of the following: data received by each receiving antenna of the receiver; and data obtained by performing specified processing on data received by the plurality of receiving antennas of the receiver.
  • the sequence has a length L, and the sequence includes at least one of: a sequence in a sequence set; a sequence generated according to a preset rule; and a sequence set according to the sequence set and the seventh data a sequence identified in the sequence; a sequence identified from the sequence set according to the sequence set and the ninth data; wherein L is an integer greater than one.
  • the using the sequence to detect data includes one of: using a sequence to detect data obtained by specifying the data; obtaining a correlation matrix according to the data, using a sequence and a correlation matrix The data is detected; the correlation matrix is obtained based on the data obtained by specifying the data, and the data obtained by specifying the data is detected using the sequence and the correlation matrix.
  • the performing differential detection on the data includes: performing differential detection on the data according to a specified manner; wherein the specifying manner includes at least one of: frequency domain differential detection; time domain differential detection; time and frequency domain Differential detection; piecewise differential detection.
  • the method in this embodiment further includes: performing at least one of: demodulating and decoding the sixth data to obtain eleventh data; and performing data obtained by performing the specified processing on the sixth data.
  • Demodulating and decoding to obtain the eleventh data demodulating and decoding the sixth data satisfying the specified condition to obtain the eleventh data; and obtaining the data obtained by specifying the sixth data satisfying the specified condition
  • performing demodulation and decoding to obtain the eleventh data demodulating and decoding the data obtained by performing the specified processing on the sixth data and satisfying the specified condition to obtain the eleventh data.
  • the method of this embodiment further includes: acquiring information from the eleventh data, where the information includes at least one of the following: valid content information; user identity identification information; sequence information; sequence set Information; information of the reference signal.
  • the method of this embodiment further includes: reconstructing the eleventh data to obtain the twelfth data.
  • the method in this embodiment further includes: performing channel estimation by using the twelfth data to obtain a channel estimation result.
  • the method of this embodiment further includes: removing interference of the twelfth data from data received by the receiver.
  • FIG. 5 is a flowchart 1 of a data processing method according to an embodiment of the present disclosure. As shown in FIG. 5, the method includes the following steps:
  • Step 101 Differentially encode data A1 to generate data A2;
  • the data A1 includes at least one of the following: a reference signal; a data symbol;
  • the reference signal may also be referred to as a reference symbol, a pilot signal, a pilot symbol, a pilot sequence, a training symbol, a training sequence, and the like;
  • the reference signal includes at least one of: a reference signal determined according to user identification information; a reference signal determined from a reference signal set; a preset reference signal;
  • the data symbol includes: a data symbol generated by coding and modulating the data bit;
  • the data bits include at least one of the following: valid content information; user identification information; sequence information; sequence set information; reference signal information;
  • the data A1 is differentially encoded to generate data A2, including one of the following:
  • Data A1 is differentially encoded according to a specified manner to generate data A2;
  • Data A1 is differentially encoded according to a reference signal and in a specified manner to generate data A2;
  • Data A1 is differentially encoded according to a reference signal in data A1 and in a specified manner to generate data A2;
  • the specified mode includes at least one of the following: frequency domain differential coding; time domain differential coding; time-frequency domain differential coding; and piecewise differential coding;
  • time-frequency domain differential coding may be first frequency domain differential coding and then time domain differential coding, or first time domain differential coding and frequency domain differential coding;
  • the segmented differential coding may be combined with frequency domain differential coding, time domain differential coding, or time-frequency domain differential coding to implement frequency domain segmentation differential coding, time domain segmentation differential coding, or time-frequency domain segmentation differential coding. .
  • differential encoding described in the present embodiment may also be referred to as differential modulation.
  • Step 102 Process data A2 using a sequence to generate data A3.
  • the sequence includes at least one of the following: a sequence randomly selected from the sequence set; a sequence obtained from the sequence set according to a preset rule; a sequence obtained from the sequence set according to system configuration information; a randomly generated sequence; a sequence generated by a rule; wherein the length of the sequence is L, and L is an integer greater than one;
  • the sequence set includes at least one of the following: a preset sequence set; and a sequence set generated according to a preset rule.
  • the data A3 is processed by using the sequence to generate the data A3, including one of the following: the data A2 is expanded by using the sequence to generate the data A3; and the data A2 is modulated by the sequence to generate the data A3.
  • the method further includes:
  • Step 103 Form data A3 into a transmit signal for transmission
  • the data A3 is formed into a transmit signal, including: forming a transmit signal on the specified time-frequency resource by using the data A3; wherein the specified time-frequency resource may be randomly selected, or determined according to a preset rule, or configured by the system.
  • the system configuration can be preconfigured, semi-statically configured, or dynamically configured.
  • the transmitter first differentially encodes the data, and then uses the sequence to perform expansion or modulation processing, which is beneficial for the receiver to detect and detect the user or the data stream by using the sequence detection and differential detection, and only requires a small number of reference signals.
  • differential detection the influence of the channel can be eliminated, which has better system transmission efficiency and lower receiver complexity.
  • the method can be applied to K transmitters, K is an integer greater than or equal to 1, K transmitters separately differentially encode the data, and then use sequence to perform expansion or modulation processing, and the processed data is specified at the time of designation.
  • a transmission signal is formed on the frequency resource for transmission; wherein the sequence used by the K transmitters may be randomly selected or randomly generated, and may be orthogonal or non-orthogonal; the specified time-frequency resources used by the K transmitters may be It is randomly selected or can be the same time-frequency resource. Therefore, the method can be used to implement multi-user unscheduled, non-orthogonal transmission.
  • FIG. 6 is a second flowchart of a data processing method according to an embodiment of the present disclosure. As shown in FIG. 6, the method includes the following steps:
  • Step 201 Processing the data B1 using the sequence to generate the data B2.
  • the data B1 includes at least one of the following: a reference signal; data information;
  • the reference signal includes at least one of: a reference signal determined according to user identification information; a reference signal determined from a reference signal set; a preset reference signal;
  • the data information includes one of the following: a data bit; a data symbol generated by coding and modulating the data bit; specifically, the data information may be one of the following: a data bit obtained by encoding a data bit to be transmitted at the transmitting end; a data symbol obtained by encoding and modulating a data bit to be transmitted at a transmitting end;
  • the data bits include at least one of the following: valid content information; user identification information; sequence information; sequence set information; reference signal information; here, it should be noted that all of the information may be carried in the data bit to be transmitted at the transmitting end. And then encoding to obtain the encoded data bits; part of the information may also be carried in the encoded data bits, for example, carrying the user identification information in the cyclic redundancy check bit;
  • the sequence includes at least one of the following: a sequence randomly selected from the sequence set; a sequence obtained from the sequence set according to a preset rule; a sequence obtained from the sequence set according to system configuration information; a randomly generated sequence; a sequence generated by a rule; wherein the length of the sequence is L, and L is an integer greater than one;
  • the sequence set includes at least one of the following: a preset sequence set; and a sequence set generated according to a preset rule.
  • the data B1 is processed by using the sequence to generate the data B2, and includes one of the following: the data B1 is expanded by using the sequence to generate the data B2; and the data B1 is modulated by the sequence to generate the data B2.
  • Step 202 Differentially encode data B2 to generate data B3.
  • the data B2 is differentially encoded to generate data B3, including:
  • Data B2 is differentially encoded according to a specified manner to generate data B3;
  • Data B2 is differentially encoded according to a reference signal and in a specified manner to generate data B3;
  • Data B2 is differentially encoded according to a reference signal in data B2 and in a specified manner to generate data B3;
  • the reference signal in the data B2 may be a reference signal obtained by processing the reference signal of the data B1 using the sequence in step 201;
  • the data symbol in the data B2 may be the data symbol obtained by processing the data information of the data B1 using the sequence in step 201;
  • the specified mode includes at least one of the following: frequency domain differential coding; time domain differential coding; time-frequency domain differential coding; and piecewise differential coding;
  • time-frequency domain differential coding may be first frequency domain differential coding and then time domain differential coding, or first time domain differential coding and frequency domain differential coding;
  • the segmented differential coding may be combined with frequency domain differential coding, time domain differential coding, or time-frequency domain differential coding to implement frequency domain segmentation differential coding, time domain segmentation differential coding, or time-frequency domain segmentation differential coding. .
  • the method further includes:
  • Step 203 Form data B3 into a transmission signal for transmission
  • the data B3 is formed into a transmit signal, including: forming a transmit signal on the specified time-frequency resource by using the data B3; wherein the specified time-frequency resource may be randomly selected, or determined according to a preset rule, or configured by the system.
  • the system configuration can be preconfigured, semi-statically configured, or dynamically configured.
  • the transmitter first uses the sequence to spread or modulate the data, and then performs differential encoding, which is beneficial for the receiver to detect and detect the user or the data stream through differential detection and sequence detection, and only a small number of reference signals are needed.
  • the receiver can first eliminate the influence of the channel by differential detection, which is beneficial to improve the reception detection performance, thereby having better system transmission efficiency and lower receiver complexity.
  • the method can be applied to K transmitters, K is an integer greater than or equal to 1, and K transmitters respectively use a sequence to spread or modulate the data, and then perform differential encoding, and the processed data is specified at the time of designation.
  • a transmission signal is formed on the frequency resource for transmission; wherein the sequence used by the K transmitters may be randomly selected or randomly generated, and may be orthogonal or non-orthogonal; the specified time-frequency resources used by the K transmitters may be It is randomly selected or can be the same time-frequency resource. Therefore, the method can be used to implement multi-user unscheduled, non-orthogonal transmission.
  • FIG. 7 is a flowchart 3 of a data processing method according to an embodiment of the present disclosure. As shown in FIG. 7, the method includes the following steps:
  • Step 301 Processing the data C1 using the sequence to generate the data C2.
  • the data C1 includes at least one of the following: a reference signal; data information;
  • the reference signal includes at least one of: a reference signal determined according to user identification information; a reference signal determined from a reference signal set; a preset reference signal;
  • the data information includes one of the following: a data bit; a data symbol generated by coding and modulating the data bit; specifically, the data information may be one of the following: a data bit obtained by encoding a data bit to be transmitted at the transmitting end; a data symbol obtained by encoding and modulating a data bit to be transmitted at a transmitting end;
  • the data bits include at least one of the following: valid content information; user identification information; sequence information; sequence set information; reference signal information; here, it should be noted that all of the information may be carried in the data bit to be transmitted at the transmitting end. And then encoding to obtain the encoded data bits; part of the information may also be carried in the encoded data bits, for example, carrying the user identification information in the cyclic redundancy check bit;
  • the sequence includes at least one of the following: a sequence randomly selected from the sequence set; a sequence obtained from the sequence set according to a preset rule; a sequence obtained from the sequence set according to system configuration information; a randomly generated sequence; a sequence generated by a rule; wherein the length of the sequence is L, and L is an integer greater than one;
  • the sequence set includes at least one of the following: a preset sequence set; and a sequence set generated according to a preset rule.
  • the data C1 is processed by using the sequence to generate the data C2, including one of the following: the data C1 is expanded by using the sequence to generate the data C2; and the data C1 is modulated by the sequence to generate the data C2.
  • the method further includes:
  • Step 302 Form data C2 into a transmit signal for transmission
  • the data C2 is formed into a transmit signal, including: forming a transmit signal on the specified time-frequency resource by using the data C2; wherein the specified time-frequency resource may be randomly selected, or determined according to a preset rule, or configured by the system.
  • the system configuration can be preconfigured, semi-statically configured, or dynamically configured.
  • the method can be applied to K transmitters, K is an integer greater than or equal to 1, and K transmitters respectively use a sequence to spread or modulate the data, and then form the transmitted data on the specified time-frequency resources.
  • a signal for transmission wherein the sequence used by the K transmitters may be randomly selected or randomly generated, and may be orthogonal or non-orthogonal; the specified time-frequency resources used by the K transmitters may be randomly selected, Or it can be the same time-frequency resource. Therefore, the method can be used to implement multi-user unscheduled, non-orthogonal transmission.
  • the transmitter can process the reference signal and the data information together using the sequence. Then, when the method is used to implement multi-user unscheduled and non-orthogonal transmission, each user uses its sequence to process its reference signal. The collision probability of the multi-user reference signal can be reduced, thereby improving the performance of multi-user unscheduled and non-orthogonal transmission.
  • FIG. 8 is a flowchart 4 of a data processing method according to an embodiment of the present disclosure. As shown in FIG. 8, the method includes the following steps:
  • Step 401 Detecting the data D1 using the sequence to obtain the data D2;
  • the data D1 includes at least one of the following: data received by each receiving antenna of the receiver; and data obtained by specifying processing data received by the plurality of receiving antennas of the receiver;
  • the specifying process includes: merging according to a preset rule; wherein the preset rule includes a preset merging method and a preset merging vector;
  • the sequence includes at least one of: a sequence in a sequence set; a sequence generated according to a preset rule; a sequence identified from the sequence set according to the sequence set and the data D1; wherein the sequence has a length L, L is an integer greater than one;
  • the sequence set includes at least one of the following: a preset sequence set; a sequence set generated according to a preset rule;
  • the data D1 is detected by using the sequence to obtain the data D2, including one of the following:
  • sequence to detect the data D1 to obtain the data D2 for example, converting the data D1 into a matrix M containing L rows and N columns of data, using the sequence to detect the matrix M to obtain the data D2;
  • the data obtained by processing the data D1 is detected by using the sequence to obtain the data D2; for example, the data corresponding to the plurality of receiving antennas in the data D1 is combined according to a preset rule, and the obtained data is converted into the L line containing N a matrix M of column data, using the sequence to detect the matrix M to obtain the data D2; or, the data D1 is subjected to frequency offset compensation and/or time offset compensation, and the obtained data is converted into a matrix M containing L rows and N columns of data, Using the sequence to detect the matrix M to obtain the data D2;
  • L is the length of the sequence and N is an integer greater than or equal to 1;
  • Step 402 Perform differential detection on data D2 to obtain data D3;
  • the data D3 is obtained by performing differential detection on the data D2, including: performing differential detection on the data D2 to obtain data D3 according to a specified manner; wherein the specifying manner includes at least one of the following: frequency domain differential detection; time domain differential detection; time frequency Domain differential detection; segmented differential detection.
  • the method further includes:
  • Step 403 Processing data D3 to obtain data D4;
  • the data D3 is processed to obtain the data D4, including one of the following:
  • Data D3 is subjected to specified processing and data satisfying the specified condition is demodulated and decoded to obtain data D4;
  • the specified condition includes at least one of the following: Y signals having a large Signal to Interference and Noise Ratio (SINR); the signal interference noise ratio is greater than a specified threshold; wherein Y is an integer greater than or equal to ;
  • SINR Signal to Interference and Noise Ratio
  • the specifying process includes: a weighting process; wherein the weighting process may be scalar weighting, vector weighting, using SINR weighting, or the like.
  • the method further includes:
  • Step 404 Obtain information from the data D4.
  • the information includes at least one of the following: valid content information; user identification information; sequence information; sequence set information; reference signal information.
  • the method further includes:
  • Step 405 Perform reconstruction on the data D4 to obtain data D5;
  • the data D4 is reconstructed to obtain the data D5, including: encoding and modulating the data D4, performing differential encoding, and then performing processing such as spreading or modulating using a sequence to obtain data D5;
  • the reconstruction process described here is similar to the processing of the corresponding transmitter; the reconstruction can be performed using the information obtained from the data D4.
  • the method further includes:
  • Step 406 Perform channel estimation using data D5.
  • the channel estimation is performed by using the data D5, including: using the data D5 as a reference signal, performing channel estimation according to the data received by the receiver, and acquiring a channel estimation result;
  • the multi-user joint channel estimation may be performed using the data D5 corresponding to the plurality of users, and the channel estimation result corresponding to the plurality of users is acquired.
  • the method further includes:
  • Step 407 Removing interference of the data D5 from the data received by the receiver
  • the data received by the receiver includes data received by each receiving antenna of the receiver;
  • the removing the interference of the data D5 from the data received by the receiver includes: removing the interference of the data D5 from the data received by the receiver according to the data D5 and the channel estimation result.
  • the method can be used to implement reception detection of multi-user unscheduled and non-orthogonal transmission; wherein:
  • step 403 when the correctly received data can be obtained through step 403, the subsequent steps are continued; otherwise, when the correctly received data cannot be obtained, the receiver receiving detection process ends;
  • step 407 when step 407 is completed, the data received by the receiver is updated, and then the method can be re-executed from step 401 to perform reception detection on other users or data streams that have not been identified and detected.
  • the receiver may not know the sequence used by the transmitter, etc.
  • at least step 401 may be implemented by using blind detection; for example, receiving multiple receiving antennas of the receiver.
  • the obtained data is blindly merged according to a preset rule; the data D1 is blindly detected by traversing each candidate sequence; or the sequences that may be used are identified from the respective candidate sequences, and the data D1 is blindly detected using the identified sequences.
  • FIG. 9 is a flowchart 5 of a data processing method according to an embodiment of the present disclosure. As shown in FIG. 9, the method includes the following steps:
  • Step 501 Perform differential detection on the data E1 to obtain data E2;
  • the data E1 includes: data received by each receiving antenna of the receiver;
  • the data E2 is obtained by differentially detecting the data E1, including: performing differential detection on the data E1 according to the specified manner to obtain the data E2; wherein the specifying manner includes at least one of the following: frequency domain differential detection; time domain differential detection; time and frequency domain Differential detection; piecewise differential detection.
  • Step 502 Perform data detection using the sequence to obtain data E3;
  • the sequence includes at least one of: a sequence in a sequence set; a sequence generated according to a preset rule; a sequence identified from the sequence set according to the sequence set and the data E2; wherein the sequence has a length L, L is an integer greater than one;
  • the sequence set includes at least one of the following: a preset sequence set; a sequence set generated according to a preset rule;
  • the data E2 is detected by using the sequence to obtain the data E3, including one of the following:
  • sequence to detect the data E2 to obtain the data E3 for example, converting the data E2 into a matrix M containing L rows and N columns of data, using the sequence to detect the matrix M to obtain the data E3;
  • the data obtained by processing the data E2 is detected by using the sequence to obtain the data E3; for example, the data corresponding to the plurality of receiving antennas in the data E2 is merged according to a preset rule, and the obtained data is converted into the L line containing N
  • the matrix M of the column data is used to detect the matrix M by using the sequence to obtain the data E3, wherein the preset rule includes a preset merging method and a preset merging vector; or, the data E2 is subjected to frequency offset compensation and/or time offset compensation. And converting the obtained data into a matrix M comprising L rows and N columns of data, using the sequence to detect the matrix M to obtain the data E3;
  • L is the length of the sequence and N is an integer greater than or equal to 1;
  • the method further includes:
  • Step 503 Processing data E3 to obtain data E4;
  • the data E3 is processed to obtain the data E4, including one of the following:
  • the specified condition includes at least one of the following: Y signals with a signal interference noise ratio greater than the SINR; the signal interference noise ratio is greater than a specified threshold; wherein Y is an integer greater than or equal to 1;
  • the specifying process includes at least: a weighting process; wherein the weighting process may be scalar weighting, vector weighting, using SINR weighting, or the like.
  • the method further includes:
  • Step 504 Obtain information from the data E4.
  • the information includes at least one of the following: valid content information; user identification information; sequence information; sequence set information; reference signal information.
  • the method further includes:
  • Step 505 Perform reconstruction on the data E4 to obtain the data E5;
  • the data E4 is reconstructed to obtain the data E5, including: encoding and modulating the data E4, and performing processing such as spreading or modulating using a sequence, and then performing differential encoding to obtain data E5;
  • the reconstruction process described here is similar to the processing of the corresponding transmitter; the reconstruction can be performed using the information obtained from the data E4.
  • the method further includes:
  • Step 506 Perform channel estimation using data E5.
  • the channel estimation is performed by using the data E5, including: using the data E5 as a reference signal, performing channel estimation according to the data received by the receiver, and obtaining a channel estimation result;
  • the multi-user joint channel estimation can be implemented using the data E5 corresponding to the plurality of users, and the channel estimation result corresponding to the plurality of users is acquired.
  • the method further includes:
  • Step 507 Removing interference of the data E5 from the data received by the receiver.
  • the data received by the receiver includes data received by each receiving antenna of the receiver.
  • the removing the interference of the data E5 from the data received by the receiver includes: removing the interference of the data E5 from the data received by the receiver according to the data E5 and the channel estimation result.
  • the method can be used to implement reception detection of multi-user unscheduled and non-orthogonal transmission; wherein:
  • step 503 when the correctly received data can be obtained through step 503, the subsequent steps are continued; otherwise, when the correctly received data cannot be obtained, the receiver receiving detection process ends;
  • step 507 when step 507 is completed, the data received by the receiver is updated, and then the method can be re-executed from step 501 to perform reception detection on other users or data streams that have not been identified and detected.
  • the receiver may not know the sequence used by the transmitter.
  • at least step 502 may be implemented by using blind detection; for example, corresponding to multiple receiving antennas.
  • the data is blindly merged according to a preset rule; the data E2 is blindly detected by traversing each candidate sequence; or a sequence that may be used is identified from each candidate sequence, and the identified sequence is used to blindly detect the data E2.
  • FIG. 10 is a flowchart 6 of a data processing method according to an embodiment of the present disclosure. As shown in FIG. 10, the method includes the following steps:
  • Step 601 Detecting the data F1 using the sequence to obtain the data F2.
  • the data F1 includes at least one of the following: data received by each receiving antenna of the receiver; and data obtained by specifying processing data received by the plurality of receiving antennas of the receiver;
  • the specified processing includes at least one of the following: combining according to a preset rule, frequency offset compensation, and time offset compensation; wherein the preset rule includes a preset merge method and a preset merge vector;
  • the sequence includes at least one of: a sequence in a sequence set; a sequence generated according to a preset rule; a sequence identified from the sequence set according to the sequence set and the data F1; wherein the sequence has a length L, L is an integer greater than one;
  • the sequence set includes at least one of the following: a preset sequence set; a sequence set generated according to a preset rule;
  • the data F1 is detected by using the sequence to obtain the data F2, including one of the following:
  • sequence to detect the data F1 to obtain the data F2 for example, converting the data F1 into a matrix M containing L rows and N columns of data, using the sequence to detect the matrix M to obtain the data F2;
  • the data obtained by processing the data F1 is detected by using the sequence to obtain the data F2; for example, the data corresponding to the plurality of receiving antennas in the data F1 is combined according to a preset rule, and the obtained data is converted into the L line containing N
  • the matrix M of the column data is used to detect the matrix M by using the sequence to obtain the data F2, wherein the preset rule includes a preset merging method and a preset merging vector; or, the data F1 is subjected to frequency offset compensation and/or time offset compensation. And converting the obtained data into a matrix M comprising L rows and N columns of data, using the sequence to detect the matrix M to obtain the data F2;
  • L is the length of the sequence and N is an integer greater than or equal to 1;
  • Step 602 Performing a specified process on the data F2 to obtain the data F3;
  • the specified processing includes: channel compensation or channel equalization
  • the data F2 is specified to process the data F3, including one of the following:
  • the reference signal is a received reference signal received from a transmission resource carrying a reference signal
  • the data symbol is a received data symbol received from a transmission resource carrying a data symbol
  • the channel compensation includes at least one of the following: channel attenuation amplitude compensation; channel rotation phase compensation; and further, at least one of the following: frequency offset compensation and time offset compensation;
  • channel compensation is to eliminate the influence of the channel, and can also be called channel equalization.
  • the method further includes:
  • Step 603 Processing data F3 to obtain data F4;
  • the data F3 is processed to obtain the data F4, including at least one of the following:
  • Data F3 is subjected to specified processing and data satisfying the specified condition is demodulated and decoded to obtain data F4;
  • the specified condition includes at least one of the following: Y signals with a signal interference noise ratio greater than the SINR; the signal interference noise ratio is greater than a specified threshold; wherein Y is an integer greater than or equal to 1;
  • the specifying process includes at least one of: inversion processing; weighting processing; wherein the weighting processing may be scalar weighting, vector weighting, using SINR weighting, or the like.
  • the method further includes:
  • Step 604 Acquire information from the data F4.
  • the information includes at least one of the following: valid content information; user identification information; sequence information; sequence set information; reference signal information.
  • the method further includes:
  • Step 605 Perform reconstruction on the data F4 to obtain data F5;
  • the data F4 is reconstructed to obtain the data F5, including one of the following: encoding and modulating the data F4, and then performing processing such as spreading or modulating the sequence to obtain the data F5; and performing the processing of expanding or modulating the data F4 by using the sequence, Obtaining data F5;
  • the reconstruction process described here is similar to the processing of the corresponding transmitter; the reconstruction can be performed using the information obtained from the data F4.
  • the method further includes:
  • Step 606 Perform channel estimation using data F5.
  • the channel estimation is performed by using the data F5, including: using the data F5 as a reference signal, performing channel estimation according to the data received by the receiver, and acquiring a channel estimation result;
  • the multi-user joint channel estimation may be performed using the data F5 corresponding to the plurality of users, and the channel estimation result corresponding to the plurality of users is acquired.
  • the method further includes:
  • Step 607 Removing interference of the data F5 from the data received by the receiver
  • the data received by the receiver includes data received by each receiving antenna of the receiver;
  • the removing the interference of the data F5 from the data received by the receiver includes: removing the interference of the data F5 from the data received by the receiver according to the data F5 and the channel estimation result.
  • the method can be used to implement reception detection of multi-user unscheduled and non-orthogonal transmission; wherein:
  • step 603 when the correctly received data can be obtained through step 603, the subsequent steps are continued; otherwise, when the correctly received data cannot be obtained, the receiver receiving detection process ends;
  • step 607 when step 607 is completed, the data received by the receiver is updated, and then the method can be re-executed from step 601 to perform reception detection on other users or data streams that have not been identified and detected.
  • the receiver may not know the sequence, the reference signal, and the like used by the transmitter.
  • at least steps 601 and 602 in the foregoing steps may be implemented by using blind detection; for example, receiving The data received by the plurality of receiving antennas is blindly merged according to a preset rule; the data F1 is blindly detected by traversing each candidate sequence; or the sequences that may be used are identified from the respective candidate sequences, and the identified sequence pairs are used.
  • the data F1 is blindly detected; the channel information is blindly estimated by traversing each reference signal; and the channel information is blindly estimated by using the data F2.
  • the embodiment of the present disclosure provides a data processing method, in which a transmitter first differentially encodes data, and then uses a sequence to perform expansion or modulation processing. Accordingly, the receiver first uses the sequence to detect the received data, and then performs Differential detection; or, the transmitter first expands or modulates the data, and then performs differential encoding. Accordingly, the receiver first performs differential detection on the received data, and then uses the sequence to detect; the method has the following beneficial effects:
  • the method uses a sequence for spreading or modulating processing to facilitate the receiver to implement identification and detection of a user or a data stream, and can be implemented by blind detection;
  • the method uses differential coding to facilitate the receiver to eliminate the influence of the channel through differential detection. Only a small number of reference signals are needed, which can avoid complex channel estimation and equalization, and can avoid avoiding the use of a large number of preamble sequences, pilot sequences or reference. Signals and the like occupy a large amount of resource overhead, thereby having better system transmission efficiency and lower receiver complexity.
  • a data processing method provided by an embodiment of the present disclosure can be used to implement more flexible and efficient scheduling-free, non-orthogonal transmission, and has better system transmission efficiency and lower receiver complexity.
  • FIG. 11 is a data processing sequence diagram 1 according to an embodiment of the present disclosure.
  • the user terminal first performs code modulation on the data bits to be sent to generate data symbols to be sent;
  • the data bits to be transmitted include data bits of valid content (such as service data) to be transmitted, data bits carrying user identification information (such as a user identity code), and information carrying a sequence used by the user (eg, sequence index).
  • data bit For example, data bits of valid content (such as service data) to be transmitted, data bits carrying user identification information (such as a user identity code), and information carrying a sequence used by the user (eg, sequence index).
  • the data bits to be transmitted may further include data bits carrying information of a sequence set in which the sequence used by the user (for example, a sequence set index), for example, when there are a plurality of available sequence sets, the user may randomly select a sequence set. Determining the sequence used by the sequence set, that is, the sequence used by the user may come from any one of the sequence sets;
  • the coding includes channel coding such as a convolutional code, a Turbo code, a Low Density Parity Check (LDPC), and the modulation includes, for example, Binary Phase Shift Keying (BPSK), orthogonal phase Amplitude phase modulation such as Quadrature Phase Shift Keying (QPSK) and Quadrature Amplitude Modulation (QAM).
  • BPSK Binary Phase Shift Keying
  • QPSK Quadrature Phase Shift Keying
  • QAM Quadrature Amplitude Modulation
  • the user terminal differentially encodes the data symbols to be sent according to the reference signal
  • the reference signal may also be referred to as a reference symbol, a pilot signal, a pilot symbol, a pilot sequence, a training symbol, a training sequence, etc.
  • the differential coding may also be referred to as differential modulation.
  • differential coding and BPSK may be used to form a difference.
  • DBPSK Differential Binary Phase Shift Keying
  • 2DPSK binary differential phase shift keying
  • the data bits to be sent may further include data bits of the information carrying the reference signal; for example, if the reference signal is determined according to the user identification information, or is determined from the reference signal set, to be sent.
  • the data bits may include information of the reference signal, so that the receiver uses the information to reconstruct and cancel the data transmitted by the transmitter after the detection is received; the receiver does not need to know the information of the reference signal when performing differential detection.
  • the receiver may first reconstruct and correct the interference that has been correctly received and detected, and then Re-identification and detection of other users.
  • the receiver needs to know the information of the reference signal and perform differential coding according to a process similar to that when the user terminal transmits data. Determining the reference signal or from the user identification information Determining the reference signal in the set of test signals can introduce variability and randomness into the reference signal, which is beneficial for transmitter signal shaping and receiver interference randomization, or can be used to implement differential coding and signal shaping with low peak-to-average ratio, for example Selecting a suitable reference signal such that the signal formed after differential encoding has a lower peak-to-average ratio;
  • the reference signal is preset, for example, the reference signal is 1, the data bits to be transmitted may not include information of the reference signal or the reference symbol;
  • the reference signal is determined according to the user identification information, for example, the reference signal may be generated, selected, or determined according to the preset identifier; the reference signal determined from the reference signal set may be randomly selected from the reference signal set, for example. Determining the reference signal according to a preset rule;
  • the user terminal differentially encodes the data symbols to be sent according to the reference signal, and may adopt at least one of the following methods:
  • Frequency domain differential coding Taking an Orthogonal Frequency Division Multiplexing (OFDM) system as an example, it is assumed that a user terminal uses a physical resource block (PRB) for transmission, and the PRB frequency domain is used. Containing 12 subcarriers, the index is 0 to 11, the time domain contains 14 symbols, and the index is 0 to 13. Then, the frequency domain differential coding can use each symbol on the 0th subcarrier for the reference symbol, and the other subcarriers.
  • OFDM Orthogonal Frequency Division Multiplexing
  • the reference symbols carried on the i-th symbol position that is, the frequency domain differential coding may be differentially coded with reference to or reference to each reference symbol on the 0th subcarrier;
  • Time domain differential coding It is assumed that the user terminal uses one PRB for transmission.
  • Time-frequency domain differential coding can be first frequency-domain differential coding and then time-domain differential coding, or first-time domain differential coding and frequency-domain differential coding; assuming that the user terminal uses one PRB for transmission,
  • the PRB frequency domain includes 12 subcarriers, the index is 0 to 11, the time domain contains 14 symbols, and the index is 0 to 13.
  • the time-frequency domain differential coding can use the 0th symbol on the 0th subcarrier for the reference symbol.
  • Segmented differential coding can be used in combination with frequency domain differential coding, time domain differential coding, or time-frequency domain differential coding to implement frequency domain segmentation differential coding, time domain segmentation differential coding, and time-lapse. Frequency domain segmentation differential coding; the specific processing is similar to the above description and will not be described again.
  • the user terminal uses the sequence to process the symbols obtained after differential encoding
  • the sequence may also be referred to as a code; the length of the sequence used by the user terminal is L, L is an integer greater than 1; and the sequence used by the user terminal may be randomly selected from the sequence set, or may be from the sequence according to a preset rule. Obtained in the set, or obtained from the sequence set according to the system configuration information, or randomly generated by the user terminal, or generated by the user terminal according to a preset rule;
  • the sequence set may be a sequence set including W sequences of length L, and the sequence in the sequence set is orthogonal, non-orthogonal, low cross-correlated or equi-correlated; the sequence set may be pre- Set or generated according to a preset rule; for example, in an optional sequence set, the sequence elements are from the set ⁇ 1+1i, -1+1i, -1-1i, 1-1i ⁇ ; further The elements of the specified position of each sequence are fixed to the specified values. For example, the first element of each sequence is fixed to 1+1i, and other elements of each sequence can be randomly selected from the set of values, and a total of 64 lengths of 4 can be obtained.
  • sequence elements are from the set ⁇ 1, 1i, -1, -1i ⁇ ; further, the elements of the specified position of each sequence can be fixed to a specified value, such as each sequence.
  • the first element is fixed to 1, and the other elements of each sequence can be randomly selected from the set of values. Then, 64 sequences of length 4 can be obtained.
  • sequence set generation method There is also an optional sequence set generation method.
  • the required sequence set for example, the sequence set 1 is a set of Hada code sequences including four sequences of length 4, and the sequence set 2 is a sequence set containing V sequences of length 4, each sequence in the sequence set 2 Performing a point multiplication operation on each sequence in the sequence set 1 respectively, to obtain a sequence set containing 4*V sequences of length 4;
  • the sequence used by the user terminal may be obtained from the sequence set according to a preset rule, for example, determining a sequence index according to information such as an identity code of the user terminal and/or a serving cell identifier, and obtaining a used sequence from the sequence set;
  • the sequence used by the user terminal may be obtained from the sequence set according to system configuration information, for example, the sequence used for obtaining the sequence from the sequence set according to system pre-configuration, semi-static or dynamic configuration information;
  • the sequence used by the user terminal may be randomly generated. For example, each element of the sequence may be randomly selected from the set of values ⁇ 1, 1i, -1, -1i ⁇ ; or the element of the specified position of the sequence is fixed to the specified value. For example, if the first element of the sequence is fixed to 1, the other elements of the sequence can be randomly selected from the set of values ⁇ 1, 1i, -1, -1i ⁇ ;
  • the sequence used by the user terminal may be generated according to a preset rule. For example, the user terminal selects a sequence from the sequence set 1, selects a sequence from the sequence set 2, and multiplies the two sequences to obtain a sequence used by the user terminal. ;
  • the sequence used by the user terminal may be a real sequence, a complex sequence, or a sequence containing 0 elements;
  • the length L of the sequence used by the user terminal may take a smaller value, for example, L is 2, 3, 4, 6, 8, 12 or 16;
  • sequences in the sequence set may be further energy normalized such that the total energy of each sequence is 1 or L; accordingly, the sequence used by the user terminal may be a sequence normalized to 1 or L of the total energy of the sequence;
  • the user terminal uses the sequence to process the symbols obtained after the differential encoding, including: the user terminal uses the sequence to perform the extension processing or the modulation processing on the symbols obtained after the differential encoding;
  • the user terminal processes the symbols obtained by differential encoding using a sequence, and further includes: processing the reference signal and the data symbols to be sent;
  • the user terminal uses the sequence to process each symbol obtained after differential encoding to obtain L symbols.
  • the user terminal uses the symbol obtained by the sequence processing to form a transmission signal on the specified time-frequency resource for transmission.
  • the specified time-frequency resource may be randomly selected by the user terminal, or determined by the user terminal according to a preset rule.
  • the system is configured, wherein the system configuration can be pre-configured, semi-statically configured, or dynamically configured.
  • the user identification information, the sequence information of the user, the sequence set information of the sequence used by the user, the information of the reference signal, etc. may be carried in the data bits to be transmitted in an explicit or implicit manner.
  • the explicit way is carried by explicit data bits
  • the implicit way is carried by data bits having other functions or meanings.
  • a data processing method provided by this application example can be applied to K transmitters, K is an integer greater than or equal to 1, K transmitters separately differentially encode the data, and then use sequence to spread or modulate, and The processed data forms a transmission signal on the designated time-frequency resource for transmission; wherein the sequence used by the K transmitters may be randomly selected, randomly generated, orthogonal, non-orthogonal, and low cross-correlation Or equivalent cross-correlation; the specified time-frequency resources used by the K transmitters may be randomly selected or may be the same time-frequency resource.
  • the data processing method provided by this application example can be used to implement multi-user unscheduled, non-orthogonal transmission.
  • FIG. 12 is a data processing timing diagram 2 according to an embodiment of the present disclosure.
  • FIG. 13 is a second embodiment of the present disclosure.
  • the user terminal first encodes and modulates the data bits to be sent to generate a data symbol to be transmitted.
  • the data bits to be sent include data bits of the valid content to be sent, data bits carrying the user identification information, data bits carrying information of the sequence used by the user, and may further include a sequence set carrying the sequence used by the user.
  • the data bits of the information are similar to those of the above embodiment, and are not described again.
  • the user terminal processes the symbols to be sent using the sequence
  • the symbol to be sent includes the data symbol to be sent.
  • the user terminal uses the sequence to process the data symbol to be transmitted obtained after the code modulation. This method does not use the sequence to process the reference signal, which can save Resource overhead;
  • the symbol to be transmitted includes a reference signal and a data symbol to be transmitted.
  • the user terminal processes the reference signal and the data symbol to be transmitted obtained by the code modulation using a sequence; the method uses the sequence pair reference signal. Processing is beneficial to resource mapping;
  • the length of the sequence used by the user terminal is L, L is an integer greater than 1; and the sequence used by the user terminal may be randomly selected from the sequence set, or obtained from the sequence set according to a preset rule, or It is obtained from the sequence set according to the system configuration information, or randomly generated by the user terminal, or generated by the user terminal according to a preset rule; the description is similar to the description of the foregoing embodiment, and is not described again;
  • the user terminal uses the sequence to process the symbols to be transmitted, including: the user terminal performs a spreading process or a modulation process using the symbols to be transmitted by the sequence.
  • the user terminal differentially encodes the symbols obtained by using the sequence processing according to the reference signal
  • the data bits to be sent may further include data bits of the information carrying the reference signal, so that the receiver receives the information and reconstructs and cancels the data sent by the transmitter by using the information;
  • the description of the method is similar and will not be repeated.
  • the user terminal differentially encodes the symbol obtained by using the sequence processing according to the reference signal, and may adopt at least one of the following methods: frequency domain differential coding; time domain differential coding; time-frequency domain differential coding; and segmentation differential coding; The description of the method is similar and will not be repeated.
  • the user terminal processes the reference signal and the data symbol using the sequence to obtain the processed reference signal and the data symbol, and the total number of symbols is L times, and the differential encoding process can be based on
  • the processed reference signal differentially encodes the processed data symbols, or the processed reference signals and data symbols may be differentially encoded according to the processed reference signals.
  • the user terminal forms a transmission signal on the specified time-frequency resource for transmitting, and the specified time-frequency resource may be randomly selected by the user terminal, or determined by the user terminal according to a preset rule.
  • the system is configured, wherein the system configuration can be pre-configured, semi-statically configured, or dynamically configured.
  • the data processing method provided by this application example can be applied to K transmitters, K is an integer greater than or equal to 1, and K transmitters respectively use a sequence to spread or modulate their data, then perform differential encoding, and process The subsequent data forms a transmit signal on the designated time-frequency resource for transmission; wherein the sequences used by the K transmitters may be randomly selected, randomly generated, orthogonal, non-orthogonal, low cross-correlated or Corresponding to cross-correlation; the specified time-frequency resources used by the K transmitters may be randomly selected, or may be the same time-frequency resources.
  • This method can be used to implement multi-user, non-scheduled, non-orthogonal transmission.
  • FIG. 14 is a data processing sequence diagram 4 according to an embodiment of the present disclosure.
  • the user terminal first performs code modulation on the data bits to be sent to generate data symbols to be sent;
  • the data bits to be sent include data bits of the valid content to be sent, data bits carrying the user identification information, data bits carrying information of the sequence used by the user, and may further include a sequence set carrying the sequence used by the user.
  • the data bits of the information are similar to those of the above embodiment, and are not described again.
  • the user terminal processes the symbols to be sent using the sequence
  • the symbol to be sent includes the data symbol to be sent. As shown in FIG. 14 , the user terminal uses the sequence to process the data symbol to be transmitted obtained after the code modulation.
  • the symbol to be transmitted includes a reference signal and a data symbol to be transmitted.
  • the user terminal processes the reference signal and the data symbol to be transmitted obtained by the code modulation using a sequence;
  • the data bits may further include data bits of the information carrying the reference signal, so that the receiver can use the information to perform reconstruction and interference cancellation on the data sent by the transmitter after the detection, which is similar to the description of the foregoing embodiment, and is not described again;
  • the length of the sequence used by the user terminal is L, L is an integer greater than 1; and the sequence used by the user terminal may be randomly selected from the sequence set, or obtained from the sequence set according to a preset rule, or It is obtained from the sequence set according to the system configuration information, or randomly generated by the user terminal, or generated by the user terminal according to a preset rule; the description is similar to the description of the foregoing embodiment, and is not described again;
  • the user terminal uses the sequence to process the symbols to be transmitted, including: the user terminal performs a spreading process or a modulation process using the symbols to be transmitted by the sequence.
  • the user terminal uses the symbol obtained by the sequence processing to form a transmission signal on the specified time-frequency resource for transmission.
  • the specified time-frequency resource may be randomly selected by the user terminal, or determined by the user terminal according to a preset rule.
  • the system is configured, wherein the system configuration can be pre-configured, semi-statically configured, or dynamically configured.
  • the data processing method provided by this application example can be applied to K transmitters, K is an integer greater than or equal to 1, and K transmitters respectively use a sequence to expand or modulate their data, and then the processed data is specified.
  • the specified time-frequency resources used by the K transmitters may be randomly selected or may be the same time-frequency resources.
  • the method can be used to implement multi-user unscheduled, non-orthogonal transmission.
  • This application example provides a data processing method.
  • the base station receiver first uses the sequence to detect the received data
  • the data received by the base station receiver includes at least one of the following: data received by each receiving antenna of the receiver; and data obtained by combining the data received by the plurality of receiving antennas of the receiver according to a preset rule;
  • the preset rule includes a preset merge method, a preset merge vector, and the like.
  • the preset merge vector may include at least one of the following: (1, 0), (0) , 1), (1/sqrt(2), 1/sqrt(2)), (1/sqrt(2), -1/sqrt(2)), (1/sqrt(2), 1i/sqrt(2 )), (1/sqrt(2), -1i/sqrt(2)), where sqrt() represents a square root operation, and the data received by the two receiving antennas of the receiver is weighted according to a preset merge vector. Add, get the combined data; here the merger according to the preset rules can be regarded as a blind merger process;
  • the base station receiver detects the received data by using a sequence, including: converting the received data into a matrix M including L rows and N columns of data, detecting the matrix M by using the sequence S; or, receiving the received data. Converting to a matrix M containing L rows and N columns of data, calculating an autocorrelation matrix X of the matrix M, detecting the matrix M using the sequence S and the autocorrelation matrix X; wherein L is the length of the sequence; each of the L rows and N columns of data A column includes L data, corresponding to L symbols obtained by processing a symbol by using a sequence of length L by a transmitter, indicating L data received by the receiver after the L symbols are transmitted through the channel; When the machine uses the same time-frequency resource for transmission, the L data received by the receiver is data superposed by L symbols transmitted by multiple transmitters after being transmitted through the channel;
  • the matrix M is detected using the sequence S.
  • the sequence S has a length L, contains L elements, can be described as a vector of L*1, and the sequence S is conjugate-transposed to obtain S', then S ' is a vector of 1*L, and then matrix multiplication of S' with the matrix M, the detection result containing 1*N data can be obtained;
  • the matrix M is detected using the sequence S and the autocorrelation matrix X.
  • the sequence S is conjugate-transposed to obtain a 1*L vector S'
  • the autocorrelation matrix X is a matrix of L*L
  • the autocorrelation matrix X is calculated.
  • Inverse matrix inv(X) then S', inverse matrix inv(X) and matrix M are matrix-multiplied to obtain a detection result containing 1*N data.
  • the sequence used by the base station receiver includes at least one of: a sequence in a sequence set; a sequence generated according to a preset rule; a sequence identified from the sequence set according to the sequence set and the received data;
  • the sequence set may be a sequence set including W sequences of length L, and the sequence in the sequence set is orthogonal, non-orthogonal, low cross-correlated or equi-correlated; the sequence set may be pre- Or generated according to a preset rule; for example, in an optional sequence set, the sequence elements are from the set ⁇ 1+1i, -1+1i, -1-1i, 1-1i ⁇ , and each sequence The element of the specified position is fixed to the specified value.
  • the first element of each sequence is fixed to 1+1i, and other elements of each sequence can be randomly selected from the set of values, so that a total of 64 sequences of length 4 can be obtained;
  • the sequence elements are from the set ⁇ 1, 1i, -1, -1i ⁇ , and the elements of the specified position of each sequence are fixed to the specified values, for example, the first element of each sequence is fixed. If 1, other elements of each sequence can be randomly selected from the set of values, then 64 sequences of length 4 can be obtained; there is also an optional sequence set generation method, which uses two smaller sequence sets.
  • the sequence set 1 is a set of Hada code sequences including four sequences of length 4, and the sequence set 2 is a sequence containing V lengths of 4, each sequence in the sequence set 2 and each of the sequence set 1
  • the stripe sequence is subjected to a point multiplication operation to obtain a sequence set comprising 4*V stripe lengths of 4; the sequence in the sequence set can be further energy normalized such that the total energy of each sequence is 1 or L;
  • the sequence used by the base station receiver may be a sequence generated according to a preset rule. For example, an element of a specified position of the sequence is fixed to a specified value, for example, the first element of the sequence is fixed to 1, and other elements of the sequence may be from the set of values. ⁇ 1,1i,-1,-1i ⁇ randomly selected; or, select one sequence from the sequence set 1, select a sequence from the sequence set 2, and multiply the two sequences to obtain the used sequence;
  • the receiver may not know the sequence used by the transmitter.
  • the receiver may blindly receive the received data using all sequences or partial sequences in the sequence set. For example, if the sequence set includes W sequences of length L, and the receiver uses all the sequences in the sequence set to blindly detect the received data, the detection result including W*N data can be obtained, and the detection result is obtained. Contains W lines, each line containing 1*N data, corresponding to one sequence in the sequence set.
  • the sequence used by the receiver may also be a sequence identified from the sequence set according to the sequence set and the received data; for example, it is assumed that the sequence set contains W
  • a sequence of length L which can be described as a matrix Q of W*L, converts the received data into a matrix M containing L rows and N columns of data, calculates an autocorrelation matrix X of the matrix M, and the autocorrelation matrix X is L* L matrix, then matrix Q, matrix X, matrix Q conjugate transpose matrix Q' matrix multiplication operation, to obtain a W * W matrix, obtain the diagonal elements of the matrix and calculate the absolute value, and then proceed Sorting, taking a sequence corresponding to a larger Z value as the identified sequence; or, performing matrix multiplication on the matrix Q, the inverse matrix inv(X) of the matrix X, and the conjugate transposed matrix Q' of the matrix Q, A W*W matrix obtains the diagonal elements of the matrix and calculate
  • the base station receiver performs differential detection on the data obtained by using the sequence detection
  • the base station receiver can perform differential detection on the data obtained by using the sequence detection in at least one of the following ways:
  • Frequency domain differential detection It is assumed that the transmitter uses one PRB for transmission.
  • Time domain differential detection It is assumed that the transmitter uses one PRB for transmission.
  • Time-frequency domain differential detection can be first frequency-domain differential detection and then time-domain differential detection, or first-time domain differential detection and frequency-domain differential detection; corresponding to transmitter differential coding process, if transmitting First frequency domain differential coding and time domain differential coding, the receiver first time domain differential detection and frequency domain differential detection; if the transmitter first time domain differential coding and frequency domain differential coding, the receiver first frequency domain differential detection time Domain differential detection; the process of frequency domain differential detection and time domain differential detection is similar to the above description, and will not be described again.
  • Segmented differential detection can be combined with frequency domain differential detection, time domain differential detection, or time-frequency domain differential detection to achieve frequency domain segmentation differential detection, time domain segmentation differential detection, and time Frequency domain segmentation differential detection; it can be processed corresponding to the differential encoding process of the transmitter. The specific process is similar to the above description and will not be described again.
  • the base station receiver demodulates and decodes the data obtained after the differential detection
  • the base station receiver may further perform weighting processing on the data obtained after the differential detection, and then demodulate and decode the obtained data.
  • SINR may be used for scalar weighting or vector weighting
  • the base station receiver uses multiple sequences to detect the received data to obtain multiple detection results, and differential detection is performed for each detection result, and multiple detection results can also be obtained.
  • the base station receiver can have a relatively large SINR.
  • the plurality of detection results or the detection result whose SINR is greater than the specified threshold is demodulated and decoded; or the base station receiver may separately weight the detection results in which the SINR is relatively large or the detection result whose SINR is greater than the specified threshold.
  • the base station receiver performs weighting processing on the plurality of detection results, and then demodulates and decodes the plurality of detection results in which the SINR is relatively large or the detection result in which the SINR is greater than the specified threshold.
  • the base station receiver when the base station receiver acquires the correctly received data after demodulation decoding, the base station receiver can acquire information from the correctly received data;
  • the base station can determine whether the decoding is correct according to the result of the Cyclic Redundancy Check (CRC) of the decoded output, so as to determine whether the correctly received data is obtained;
  • CRC Cyclic Redundancy Check
  • the information that the base station receiver can obtain from the correctly received data includes at least one of: service data sent by the transmitter; a transmitter identity code; a sequence used by the transmitter; a sequence set in which the sequence used by the transmitter is located; The reference signal used and transmitted by the transmitter.
  • the base station receiver can reconstruct the data sent by the transmitter for interference cancellation, and the reconstruction process is similar to the process of transmitting data by the transmitter, for example, coding and modulating the data bits, and Differential encoding is performed, and then the sequence is used for spreading or modulation processing to obtain data transmitted by the transmitter.
  • the base station receiver can also use the reconstructed data for channel estimation.
  • the reconstructed data is used as a reference signal and received according to the base station.
  • the data received by the machine performs channel estimation to obtain a channel estimation result;
  • the base station receiver may perform multi-user joint channel estimation using the reconstructed data respectively corresponding to the users, specifically, for example, based on the minimum two Multiplying the algorithm to implement multi-user joint channel estimation, and obtaining channel estimation results corresponding to the users respectively;
  • the base station receiver when acquiring the channel estimation result, can further smooth the channel estimation result, and the channel estimation result can be improved by the smoothing process.
  • the base station receiver can remove interference caused by data transmitted by the transmitter that has been correctly detected and received from the received data; wherein the data received by the base station receiver includes data received by each receiving antenna of the receiver; The base station receiver has obtained the data transmitted by the transmitter that is correctly detected and received through the reconstruction process; then, the base station can remove the interference of the data from the data received by the receiver according to the reconstructed data and the channel estimation result.
  • the base station receiver can perform interference cancellation on the data sent by these users.
  • the data received by the base station receiver is updated. According to the updated received data, the base station receiver can re-execute the receiver processing to receive and detect other users or data streams that have not been identified and detected. .
  • the base station receiver can also perform frequency offset compensation and/or time offset compensation on the data during the process of detecting or reconstructing the data.
  • the reception detection process ends.
  • the base station receiver may further determine whether the receiving detection process ends according to other conditions. For example, after the receiver obtains information from the correctly received data, it may determine whether the number of received detection iterations that have been performed reaches a preset or according to The maximum number of iterations determined by the preset rule. If not, the subsequent steps are continued. If so, the receiving detection process ends.
  • This application example provides a data processing method.
  • the base station receiver first performs differential detection on the received data
  • the data received by the base station receiver includes: data received by each receiving antenna of the receiver;
  • the base station receiver may perform differential detection on the received data by using at least one of the following methods: frequency domain differential detection, time domain differential detection, time-frequency domain differential detection, and segmentation differential detection; and processing corresponding to the transmitter differential encoding process. It is similar to the description of the above embodiment, and will not be described again.
  • the base station receiver uses the sequence to detect the data obtained after the differential detection
  • the base station receiver uses the sequence to detect the data obtained after the differential detection, including: converting the data obtained by the differential detection into a matrix M including L rows and N columns of data, and detecting the matrix M by using the sequence S; or, The data obtained after the differential detection is subjected to specified processing, and then converted into a matrix M including L rows and N columns of data, and the matrix M is detected using the sequence S; or the data obtained by the differential detection is converted into data including L rows and N columns.
  • the matrix M, the autocorrelation matrix X of the matrix M is calculated, and the matrix M is detected using the sequence S and the autocorrelation matrix X; or, the data obtained after the differential detection is specified, and then converted into data containing L rows and N columns.
  • the matrix M, and the autocorrelation matrix X of the matrix M is calculated, and the matrix M is detected using the sequence S and the autocorrelation matrix X; wherein L is the length of the sequence; it is similar to the description of the above embodiment, and will not be described again;
  • the data obtained after the differential detection is specified, for example, the data corresponding to the multiple receiving antennas obtained after the differential detection is merged according to a preset rule, where the preset rule includes a preset merge method and a preset.
  • the merging vector or the like is similar to the description of the above embodiment, and will not be described again; the data obtained after the differential detection may be further subjected to frequency offset compensation and/or time offset compensation.
  • the sequence used by the base station receiver includes at least one of the following: a sequence in the sequence set; a sequence generated according to a preset rule; a sequence identified from the sequence set according to the sequence set and the differentially detected data; Similar to the description of the above embodiment, it will not be described again.
  • the base station receiver demodulates and decodes the data obtained by using the sequence detection
  • the base station receiver may first perform weighting processing on the data obtained by using the sequence detection, and then perform demodulation decoding, for example, scalar weighting or vector weighting may be performed using SINR;
  • the base station receiver uses multiple sequences to detect the data obtained after the differential detection, and multiple detection results can be obtained. At this time, the base station receiver can detect a plurality of detection results in which the SINR is relatively large or a detection result whose SINR is greater than a specified threshold. Performing demodulation and decoding; or, the base station receiver may separately perform demodulation and decoding on a plurality of detection results in which the SINR is relatively large or a detection result in which the SINR is greater than a specified threshold, respectively; or, the base station receiver may The plurality of detection results are separately weighted and then demodulated and decoded by a plurality of detection results in which the SINR is relatively large or a detection result having an SINR greater than a specified threshold.
  • the base station receiver when the base station receiver acquires the correctly received data after demodulation decoding, the base station receiver can acquire information from the correctly received data;
  • the information that the base station receiver can obtain from the correctly received data includes at least one of: service data sent by the transmitter; a transmitter identity code; a sequence used by the transmitter; a sequence set in which the sequence used by the transmitter is located; The reference signal used and transmitted by the transmitter.
  • the base station receiver can reconstruct the data sent by the transmitter for interference cancellation; the reconstruction process is similar to the process of transmitting data by the transmitter, for example, coding and modulating the data bits, and The sequence is used for spreading or modulation processing, and then differential encoding is performed to obtain data transmitted by the transmitter.
  • the base station receiver can also use the reconstructed data for channel estimation.
  • the reconstructed data is used as a reference signal and received according to the base station.
  • the data received by the machine performs channel estimation to obtain a channel estimation result;
  • the base station receiver may perform multi-user joint channel estimation using the reconstructed data respectively corresponding to the users, specifically, for example, based on the minimum two
  • the multiplication algorithm performs multi-user joint channel estimation to obtain channel estimation results corresponding to these users respectively.
  • the base station receiver can remove interference caused by data transmitted by the transmitter that has been correctly detected and received from the received data; wherein the data received by the base station receiver includes data received by each receiving antenna of the receiver; The base station receiver has obtained the data transmitted by the transmitter that is correctly detected and received through the reconstruction process; then, the base station can remove the interference of the data from the data received by the receiver according to the reconstructed data and the channel estimation result.
  • the base station receiver can perform interference cancellation on the data sent by these users.
  • the data received by the base station receiver is updated. According to the updated received data, the base station receiver can re-execute the receiver processing to receive and detect other users or data streams that have not been identified and detected. .
  • This application example provides a data processing method.
  • the base station receiver first uses the sequence to detect the received data
  • the data received by the base station receiver includes at least one of the following: data received by each receiving antenna of the receiver; data obtained by combining the data received by the plurality of receiving antennas of the receiver according to a preset rule; wherein, according to the preset
  • the process of the rule merging is similar to the description of the foregoing embodiment, and will not be described again; the base station receiver can also perform frequency offset compensation and/or time offset compensation on the received data, for example, compensation according to a preset compensation amount;
  • the base station receiver detects the received data by using a sequence, including: converting the received data into a matrix M including L rows and N columns of data, detecting the matrix M by using the sequence S; or, receiving the received data. Converting to a matrix M containing L rows and N columns of data, calculating an autocorrelation matrix X of the matrix M, detecting the matrix M using the sequence S and the autocorrelation matrix X; wherein L is the length of the sequence; specifically similar to the description of the above embodiment ,No longer;
  • the sequence used by the base station receiver includes at least one of: a sequence in a sequence set; a sequence generated according to a preset rule; a sequence identified from the sequence set according to the sequence set and the received data; specifically
  • a sequence in a sequence set includes at least one of: a sequence in a sequence set; a sequence generated according to a preset rule; a sequence identified from the sequence set according to the sequence set and the received data; specifically
  • the description of the embodiments is similar and will not be described again.
  • the base station receiver performs channel estimation and compensation on the data obtained by using the sequence detection
  • the base station receiver performs channel estimation and compensation on the data obtained by using the sequence detection, and at least includes one of the following: acquiring channel information according to the data obtained by using the sequence detection, and performing channel compensation on the data obtained by using the sequence detection; Obtaining channel information according to the reference signal, and performing channel compensation on the data obtained by using the sequence detection; acquiring channel information according to the reference signal and the data obtained by using the sequence detection, and performing channel compensation on the data obtained by using the sequence detection; The reference signal in the data obtained after the sequence detection acquires channel information, and performs channel compensation on the data obtained by using the sequence detection; acquires channel information according to the reference signal in the data obtained by using the sequence detection, and obtains the channel information after using the sequence detection The data symbols in the data are channel-compensated; the channel information is obtained according to the reference signals and data symbols in the data obtained by using the sequence detection, and the channel obtained after the sequence detection is used for channel compensation; the data obtained after the sequence detection is used; in Obtaining a reference signal and data symbol channel information, channel compensation and
  • the receiver may not know the reference signal used by the transmitter, and the receiver can use the channel reference estimation method to obtain the channel by using all reference signals in the reference signal set. information;
  • the receiver can also be regarded as a channel blind estimation process according to the data obtained by using the sequence detection data. Specifically, the receiver can blindly estimate the channel information according to the statistical information of the data obtained after the sequence detection, for example, the channel. Rotation phase, etc.
  • the receiver can acquire the channel information by using the reference signal and the data symbol, for example, adjusting the information information acquired according to the data symbol by using the channel information acquired according to the reference signal, which is advantageous for obtaining more accurate channel information;
  • the base station receiver can also perform smoothing on the acquired channel information, and the obtained channel information can be improved by smoothing.
  • the base station receiver can also perform frequency offset compensation and/or time offset compensation on the data obtained after the sequence detection.
  • the base station receiver demodulates and decodes the data obtained after the channel compensation
  • the base station receiver may further perform specification processing on the data obtained after the channel compensation, and then demodulate and decode the obtained data, wherein the specified processing includes inversion processing, scalar weighting or vector weighting using a preset factor, and use The SINR performs scalar weighting or vector weighting, etc.; because the acquired channel information may be uncertain, the receiver may demodulate and decode the data that has not been subjected to the specified processing and the data that has undergone the specified processing; Can be implemented after demodulating the data;
  • the base station receiver can obtain multiple detection results by using multiple sequences to detect the received data. At this time, the base station receiver can solve the detection results in which the SINR is relatively large or the detection result whose SINR is greater than the specified threshold. Or decoding, or the base station receiver may perform demodulation and decoding on a plurality of detection results in which the SINR is relatively large or a detection result in which the SINR is greater than a specified threshold, respectively, and then perform demodulation and decoding; or, the base station receiver may be more The detection results are respectively subjected to the above-described specification processing, and then demodulated and decoded a plurality of detection results in which the SINR is relatively large or a detection result in which the SINR is larger than a specified threshold.
  • the base station receiver when the base station receiver acquires the correctly received data after demodulation decoding, the base station receiver can acquire information from the correctly received data;
  • the information that the base station receiver can obtain from the correctly received data includes at least one of: service data sent by the transmitter; a transmitter identity code; a sequence used by the transmitter; a sequence set in which the sequence used by the transmitter is located; The reference signal used and transmitted by the transmitter.
  • the base station receiver can reconstruct the data sent by the transmitter for interference cancellation; the reconstruction process is similar to the process of transmitting data by the transmitter, for example, coding and modulating the data bits, and then The sequence is used for spreading or modulation processing to obtain data transmitted by the transmitter.
  • the base station receiver can also use the reconstructed data for channel estimation.
  • the reconstructed data is used as a reference signal and received according to the base station.
  • the data received by the machine performs channel estimation to obtain a channel estimation result;
  • the base station receiver may perform multi-user joint channel estimation using the reconstructed data respectively corresponding to the users, specifically, for example, based on the minimum two
  • the multiplication algorithm performs multi-user joint channel estimation to obtain channel estimation results corresponding to these users respectively.
  • the base station receiver can remove interference caused by data transmitted by the transmitter that has been correctly detected and received from the received data; wherein the data received by the base station receiver includes data received by each receiving antenna of the receiver; The base station receiver has obtained the data transmitted by the transmitter that is correctly detected and received through the reconstruction process; then, the base station can remove the interference of the data from the data received by the receiver according to the reconstructed data and the channel estimation result.
  • the base station receiver can perform interference cancellation on the data sent by these users.
  • the data received by the base station receiver is updated. According to the updated received data, the base station receiver can re-execute the receiver processing to receive and detect other users or data streams that have not been identified and detected. .
  • Embodiments of the present disclosure also provide a storage medium.
  • the foregoing storage medium may be configured to store program code for performing the following steps:
  • the first data is generated, where the generating the first data includes: performing differential encoding on the second data to generate third data, and processing the third data by using a sequence to generate the first data;
  • the sequence processes the second data to generate fourth data, differentially encodes the fourth data to generate the first data, and processes the second data using a sequence to generate the first data.
  • the foregoing storage medium may include, but not limited to, a USB flash drive, a Read-Only Memory (ROM), a Random Access Memory (RAM), a mobile hard disk, and a magnetic memory.
  • ROM Read-Only Memory
  • RAM Random Access Memory
  • a mobile hard disk e.g., a hard disk
  • magnetic memory e.g., a hard disk
  • the processor executes according to the stored program code in the storage medium:
  • Generating first data wherein generating the first data comprises one of: differentially encoding the second data to generate third data, processing the third data using a sequence to generate the first data; using a sequence pair
  • the second data is processed to generate fourth data, the fourth data is differentially encoded to generate the first data, and the second data is processed using a sequence to generate the first data.
  • modules or steps of the present disclosure described above can be implemented by a general-purpose computing device that can be centralized on a single computing device or distributed across a network of multiple computing devices. Alternatively, they may be implemented by program code executable by the computing device such that they may be stored in the storage device by the computing device and, in some cases, may be different from the order herein.
  • the steps shown or described are performed, or they are separately fabricated into individual integrated circuit modules, or a plurality of modules or steps thereof are fabricated as a single integrated circuit module. As such, the disclosure is not limited to any specific combination of hardware and software.
  • the present disclosure is applicable to the field of communications, and solves the problems of inflexible related technologies, small number of supported users, large resource overhead, poor system transmission efficiency, and high receiver complexity, and can implement more flexible and efficient scheduling-free, non-orthogonal transmission. , with better system transmission efficiency and lower receiver complexity.

Abstract

本公开提供了一种数据处理方法及装置，其中，该方法包括：生成第一数据，其中，生成第一数据包括以下之一：对第二数据进行差分编码生成第三数据，使用序列对第三数据进行处理生成第一数据；使用序列对第二数据进行处理生成第四数据，对第四数据进行差分编码生成第一数据；使用序列对第二数据进行处理生成第一数据。通过本公开，解决了相关技术不够灵活、支持用户数量少、资源开销大、系统传输效率差、接收机复杂度高等问题，可以实现更灵活和高效的免调度、非正交传输，具有较好的系统传输效率和较低的接收机复杂度。 (图1)

Description

数据处理方法及装置 技术领域
本公开涉及通信领域，具体而言，涉及一种数据处理方法及装置。
背景技术
相关技术中的第五代(5th-Generation，5G)通信技术以及未来通信技术的应用场景包括增强移动宽带(enhanced Mobile Broadband，eMBB)、海量机器类型通信(massive Machine Type communication，mMTC)、高可靠低时延通信(Ultra Reliability Low Latency Communication，URLLC)。其中，eMBB场景用于支持移动宽带，主要业务需求是大数据包传输、高数据速率、高频谱效率；mMTC场景用于支持海量设备通信，主要业务需求是海量设备、小数据包传输，目前国际电信联盟(International Telecommunications Union，ITU)和第三代合作伙伴计划(3rd Generation Partnership Project，3GPP)针对5G mMTC场景确定的设计目标是支持100万个设备/平方公里的连接密度；URLLC场景用于支持高可靠低时延通信，主要业务需求是高可靠、低时延传输。
对于mMTC场景海量设备、小数据包传输的需求，以及URLLC场景高可靠、低时延传输的需求，传统的基于终端随机接入、基站调度控制等通信流程设计已无法满足，主要原因是系统接入设备容量有限、接入与数据传输过程耗时长、信令开销大等。
为了满足这些5G通信技术需求以及未来通信技术的类似需求，可以考虑采用基于免调度的传输方法(grant-free transmission,or transmission without grant)。当终端设备需要发送数据时，即可进行数据发送，省去漫长复杂的随机接入过程和调度控制过程，从而可以大大降低传输时延和信令开销。为了提高传输资源的利用效率，还可以允许多个用户或数据流共享使用同样的传输资源(例如时频资源块)，进行非正交复用，实现非正交多址接入(Non-Orthogonal Multiple Access,NOMA)。为了保证多个用户或数据流非正交接入与复用传输的性能，通常需要采用高级接收机，例如干扰消除接收机等。
相关技术中的免调度、非正交传输方案存在的一个缺点是，需要依赖系统进行预配置或半静态配置来保证多个用户或数据流的传输资源(例如时频资源、序列、参考信号等)不会发生碰撞，这导致系统免调度传输机制不够灵活，并且仅能支持有限的用户数量。或者，允许多个用户或数据流的传输资源发生碰撞，但是，为了保证系统性能，接收机复杂度会非常高；可以使用大量的例如前导序列、导频序列或参考信号等来降低碰撞概率，提升用户或数据流的识别检测以及信道估计的准确度，不过，这种手段会占用大量的资源开销，影响系统传输效率。
针对相关技术中存在的上述问题，目前尚未发现有效的解决方案。
发明内容
本公开实施例提供了一种数据处理方法及装置，以至少解决相关技术不够灵活、支持用户数量少、资源开销大、系统传输效率差、接收机复杂度高等问题。
根据本公开的一个实施例，提供了一种数据处理方法，包括：生成第一数据，其中，生成所述第一数据包括以下之一：对第二数据进行差分编码生成第三数据，使用序列对所述第三数据进行处理生成所述第一数据；使用序列对所述第二数据进行处理生成第四数据，对所述第四数据进行差分编码生成所述第一数据；使用序列对所述第二数据进行处理生成所述第一数据。
根据本公开的一个实施例，提供了另一种数据处理方法，包括：获取第六数据，其中，获取所述第六数据包括以下方式之一：使用序列对第七数据进行检测得到第八数据，对所述第八数据进行差分检测获取所述第六数据；对所述第七数据进行差分检测得到第九数据，使用序列对所述第九数据进行检测获取所述第六数据；使用序列对所述第七数据进行检测得到第十数据，对所述第十数据进行补偿处理获取所述第六数据。
根据本公开的另一个实施例，提供了一种发射机，包括：处理器以及存储有所述处理器可执行指令的存储器，当所述指令被处理器执行时，执行如下操作：生成第一数据，其中，生成所述第一数据包括以下之一：对第二数据进行差分编码生成第三数据，使用序列对所述第三数据进行处理生成所述第一数据；使用序列对所述第二数据进行处理生成第四数据，对所述第四数据进行差分编码生成所述第一数据；使用序列对所述第二数据进行处理生成所述第一数据。
根据本公开的另一个实施例，提供了另一种接收机，包括：处理器以及存储有所述处理器可执行指令的存储器，当所述指令被处理器执行时，执行如下操作：获取第六数据，其中，获取所述第六数据包括以下方式之一：使用序列对第七数据进行检测得到第八数据，对所述第八数据进行差分检测获取所述第六数据；对所述第七数据进行差分检测得到第九数据，使用序列对所述第九数据进行检测获取所述第六数据；使用序列对所述第七数据进行检测得到第十数据，对所述第十数据进行补偿处理获取所述第六数据。
根据本公开的又一个实施例，还提供了一种存储介质。该存储介质设置为存储用于执行以下步骤的程序代码：
生成第一数据，其中，生成所述第一数据包括以下之一：对第二数据进行差分编码生成第三数据，使用序列对所述第三数据进行处理生成所述第一数据；使用序列对所述第二数据进行处理生成第四数据，对所述第四数据进行差分编码生成所述第一数据；使用序列对所述第二数据进行处理生成所述第一数据。
通过本公开，由于使用了差分编码以及使用序列进行扩展或调制处理，使得接收机可以通过使用序列进行检测、差分检测实现对用户或数据流的识别检测，并且，参考信号开销小，接收机复杂度低，因此，可以解决相关技术不够灵活、支持用户数量少、资源开销大、系统传输效率差、接收机复杂度高等问题，可以实现更灵活和高效的免调度、非正交传输，具有较好的系统传输效率和较低的接收机复杂度。
附图说明
此处所说明的附图用来提供对本公开的进一步理解，构成本申请的一部分，本公开的示意性实施例及其说明用于解释本公开，并不构成对本公开的不当限定。在附图中：
图1是根据本公开实施例的一种数据处理方法的流程图；
图2是根据本公开实施例的另一种数据处理方法的流程图；
图3是根据本公开实施例的发射机的结构框图；
图4是根据本公开实施例的接收机的结构框图；
图5是本公开实施例提供的一种数据处理方法的流程图一；
图6是本公开实施例提供的一种数据处理方法的流程图二；
图7是本公开实施例提供的一种数据处理方法的流程图三；
图8是本公开实施例提供的一种数据处理方法的流程图四；
图9是本公开实施例提供的一种数据处理方法的流程图五；
图10是本公开实施例提供的一种数据处理方法的流程图六；
图11是本公开实施例提供的一种数据处理时序图一；
图12是本公开实施例提供的一种数据处理时序图二；
图13是本公开实施例提供的一种数据处理时序图三；
图14是本公开实施例提供的一种数据处理时序图四；
图15是本公开实施例提供的一种数据处理时序图五。
具体实施方式
下文中将参考附图并结合实施例来详细说明本公开。需要说明的是，在不冲突的情况下，本申请中的实施例及实施例中的特征可以相互组合。
需要说明的是，本公开的说明书和权利要求书及上述附图中的术语“第一”、“第二”等是用于区别类似的对象，而不必用于描述特定的顺序或先后次序。
实施例1
本申请实施例的网络架构包括：发射机、接收机，其中，发射机和接收机之间进行交互。
在本实施例中提供了一种数据处理方法，图1是根据本公开实施例的一种数据处理方法的流程图，如图1所示，该流程包括如下步骤：
步骤S102，生成第一数据，其中，生成第一数据包括以下之一：对第二数据进行差分编码生成第三数据，使用序列对第三数据进行处理生成第一数据；使用序列对第二数据进行处理生成第四数据，对第四数据进行差分编码生成第一数据；使用序列对第二数据进行处理生成第一数据。
通过上述步骤，由于使用了差分编码以及使用序列进行处理(例如扩展或调制)，使得接收机可以通过使用序列进行检测、差分检测实现对用户或数据流的识别检测，并且，参考信号开销小，接收机复杂度低，因此，可以解决相关技术不够灵活、支持用户数量少、资源开销大、系统传输效率差、接收机复杂度高等问题，可以实现更灵活和高效的免调度、非正 交传输，具有较好的系统传输效率和较低的接收机复杂度。
可选地，上述步骤的执行主体可以为终端、基站等，具体可以是发射机，射频模块等，但不限于此。
可选地，第二数据包括以下至少之一：参考信号；数据信息。
其中，参考信号包括以下之一：根据用户身份识别信息确定的参考信号；从参考信号集合中确定的参考信号；预设的参考信号。
其中，数据信息包括以下之一：数据比特；对数据比特进行编码调制生成的数据符号。具体地，数据信息可以为以下情况之一：对发送端的待发送数据比特进行编码后得到的数据比特；对发送端的待发送数据比特进行编码、调制后得到的数据符号。
其中，数据比特包括以下至少之一：有效内容信息；用户身份识别信息；序列信息；序列集合信息；参考信号的信息。需要说明的是，可以将这些信息全部携带在发送端的待发送数据比特中，然后进行编码，得到编码后的数据比特；也可以将这些信息中的部分信息携带在编码后得到的数据比特中，例如将用户身份识别信息携带在循环冗余校验比特中。
可选地，序列包括以下至少之一：从第一序列集合中随机选择的序列；按照第一预设规则从第二序列集合中获取的序列；按照系统配置信息从第三序列集合中获取的序列；随机生成的序列；按照第二预设规则生成的序列；其中，序列的长度为L，L为大于1的整数。
可选地，对第二数据进行差分编码生成第三数据包括以下之一：按照指定方式对第二数据进行差分编码生成第三数据；根据参考信号并按照指定方式对第二数据进行差分编码生成第三数据；根据第二数据中的参考信号，按照指定方式对第二数据进行差分编码生成第三数据；根据第二数据中的参考信号，按照指定方式对第二数据中的数据符号进行差分编码生成第三数据；其中，指定方式包括以下至少之一：频域差分编码，时域差分编码，时频域差分编码，分段差分编码。
在本实施例中，使用序列对第三数据进行处理生成第一数据包括：使用序列对第三数据进行扩展处理或调制处理生成第一数据。
在本实施例中，使用序列对第二数据进行处理生成第四数据包括：使用序列对第二数据进行扩展处理或调制处理生成第四数据。
可选地，对第四数据进行差分编码生成第一数据包括以下之一：按照指定方式对第四数据进行差分编码生成第一数据；根据参考信号并按照指定方式对第四数据进行差分编码生成第一数据；根据第四数据中包含的使用序列对参考信号进行处理后得到的符号，按照指定方式对第四数据进行差分编码生成第一数据；根据第四数据中包含的使用序列对参考信号进行处理后得到的符号，按照指定方式对第四数据中包含的使用序列对数据符号进行处理后得到的符号进行差分编码生成第一数据；其中，指定方式包括以下至少之一：频域差分编码；时域差分编码；时频域差分编码；分段差分编码。
在本实施例中，使用序列对第二数据进行处理生成第一数据包括：使用序列对第二数据进行扩展处理或调制处理生成第一数据。
可选地，在生成第一数据之后，方法还包括：将第一数据在指定时频资源上形成发射信 号，用于发送；其中，指定时频资源通过以下方式至少之一获取：随机选择，按照第三预设规则确定，根据系统配置信息确定。
在本实施例中提供了另一种数据处理方法，图2是根据本公开实施例的另一种数据处理方法的流程图，如图2所示，该流程包括如下步骤：
步骤S202，获取第六数据，其中，获取第六数据包括以下方式之一：使用序列对第七数据进行检测得到第八数据，对第八数据进行差分检测获取第六数据；对第七数据进行差分检测得到第九数据，使用序列对第九数据进行检测获取第六数据；使用序列对第七数据进行检测得到第十数据，对第十数据进行补偿处理获取第六数据。
可选地，上述步骤的执行主体可以为基站、终端等，具体可以是接收机，接收模块等，但不限于此。
可选地，第七数据包括以下至少之一：接收机各个接收天线接收到的数据；对接收机多个接收天线接收到的数据进行处理后得到的数据。
可选地，步骤S202中使用的序列包括以下至少之一：第四序列集合中的序列；按照第四预设规则生成的序列；根据第五序列集合和所述第七数据从所述第五序列集合中识别出来的序列；根据第六序列集合和所述第九数据从所述第六序列集合中识别出来的序列；其中，序列的长度为L，L为大于1的整数；
其中，第四序列集合中的序列包括：第四序列集合中的各个序列、第四序列集合中的部分序列、或从第四序列集合中识别出来的序列。
可选地，使用序列对第七数据进行检测得到第八数据包括以下之一：使用序列对将第七数据进行处理后得到的数据进行检测，得到第八数据；根据第七数据获取相关矩阵，使用序列和相关矩阵对第七数据进行检测，得到第八数据；根据将第七数据进行处理后得到的数据获取相关矩阵，使用序列和相关矩阵对将第七数据进行处理后得到的数据进行检测，得到第八数据；其中，将第七数据进行处理，包括采用矩阵变换、按照预设规则合并、频偏补偿、时偏补偿等方式至少之一将第七数据进行处理。
可选地，对第八数据进行差分检测获取第六数据包括：按照指定方式对第八数据进行差分检测获取第六数据，其中，指定方式包括以下至少之一：频域差分检测；时域差分检测；时频域差分检测；分段差分检测。
可选地，对第七数据进行差分检测得到第九数据包括：按照指定方式对第七数据进行差分检测得到第九数据，其中，指定方式包括以下至少之一：频域差分检测；时域差分检测；时频域差分检测；分段差分检测。
可选地，使用序列对第九数据进行检测获取第六数据包括以下之一：使用序列对将第九数据进行处理后得到的数据进行检测，获取第六数据；根据第九数据获取相关矩阵，使用序列和相关矩阵对第九数据进行检测，获取第六数据；根据将第九数据进行处理后得到的数据获取相关矩阵，使用序列和相关矩阵对将第九数据进行处理后得到的数据进行检测，获取第六数据；其中，将第九数据进行处理，包括采用矩阵变换、按照预设规则合并、频偏补偿、时偏补偿等方式至少之一将第九数据进行处理。
可选地，使用序列对第七数据进行检测得到第十数据包括以下之一：使用序列对将第七数据进行处理后得到的数据进行检测，得到第十数据；根据第七数据获取相关矩阵，使用序列和相关矩阵对第七数据进行检测，得到第十数据；根据将第七数据进行处理后得到的数据获取相关矩阵，使用序列和相关矩阵对将第七数据进行处理后得到的数据进行检测，得到第十数据；其中，将第七数据进行处理，包括采用矩阵变换、按照预设规则合并、频偏补偿、时偏补偿等方式至少之一将第七数据进行处理。
可选的，对第十数据进行补偿处理获取第六数据，其中，补偿处理包括以下至少之一：信道补偿；频偏补偿；时偏补偿。其中，补偿处理也可以称为均衡处理。其中，信道补偿包括以下至少之一：信道衰减幅度补偿；信道旋转相位补偿。
在本实施例中，上述相关矩阵包括自相关矩阵和/或互相关矩阵；获取相关矩阵也可以替换为获取协方差矩阵，协方差矩阵包括自协方差矩阵和/或互协方差矩阵，进一步可以使用序列和协方差矩阵进行检测；获取相关矩阵也可以替换为获取二阶矩，进一步可以使用序列和二阶矩进行检测。
可选地，在获取第六数据之后，方法还包括：根据第六数据获取第十一数据，包括以下至少之一：将第六数据进行解调和译码获取第十一数据；将第六数据进行处理后得到的数据进行解调和译码获取第十一数据；将满足第一预定条件的第六数据进行解调和译码获取第十一数据；将满足第二预定条件的第六数据进行处理后得到的数据进行解调和译码获取第十一数据；将第六数据进行处理后得到的且满足第三预定条件的数据进行解调和译码获取第十一数据。
可选地，在根据第六数据获取第十一数据之后，方法还包括以下至少之一：从第十一数据中获取信息；对第十一数据进行重构获取第十二数据；
其中，从第十一数据中获取的信息包括以下至少之一：有效内容信息；用户身份识别信息；序列信息；序列集合信息；参考信号的信息；
其中，对第十一数据进行重构获取第十二数据时，可以根据从第十一数据中获取的信息进行重构。
可选地，在对第十一数据进行重构获取第十二数据之后，方法还包括以下至少之一：使用第十二数据进行信道估计，获取信道估计结果；从接收机接收到的数据中去除第十二数据的干扰。
在本实施例中，使用序列对数据进行检测可以采用盲检测的方式实施，例如，对接收机多个接收天线接收到的数据按照预设规则进行盲合并；遍历各个候选序列对数据进行盲检测；或者，从各个候选序列中识别出可能被使用的序列，使用这些识别出来的序列对数据进行盲检测。
通过以上的实施方式的描述，本领域的技术人员可以清楚地了解到根据上述实施例的方法可借助软件加必需的通用硬件平台的方式来实现，当然也可以通过硬件，但很多情况下前者是更佳的实施方式。基于这样的理解，本公开的技术方案本质上或者说对现有技术做出贡献的部分可以以软件产品的形式体现出来，该计算机软件产品存储在一个存储介质(如 ROM/RAM、磁碟、光盘)中，包括若干指令用以使得一台终端设备(可以是手机，计算机，服务器，或者网络设备等)执行本公开各个实施例所述的方法。
实施例2
在本实施例中还提供了一种发射机，接收机等，用于实现上述实施例及可选实施方式，已经进行过说明的不再赘述。如以下所使用的，术语“模块”可以实现预定功能的软件和/或硬件的组合。尽管以下实施例所描述的装置较佳地以软件来实现，但是硬件，或者软件和硬件的组合的实现也是可能并被构想的。
图3是根据本公开实施例的发射机的结构框图，如图3所示，该装置包括：处理器30以及存储有处理器可执行指令的存储器32，当指令被处理器执行时，执行如下操作：
生成第一数据，其中，生成第一数据包括以下之一：对第二数据进行差分编码生成第三数据，使用序列对第三数据进行处理生成第一数据；使用序列对第二数据进行处理生成第四数据，对第四数据进行差分编码生成第一数据；使用序列对第二数据进行处理生成第一数据。
图4是根据本公开实施例的接收机的结构框图，如图4所示，该装置包括：处理器40以及存储有处理器可执行指令的存储器42，当指令被处理器执行时，执行如下操作：
获取第六数据，其中，获取第六数据包括以下方式之一：使用序列对第七数据进行检测得到第八数据，对第八数据进行差分检测获取第六数据；对第七数据进行差分检测得到第九数据，使用序列对第九数据进行检测获取第六数据；使用序列对第七数据进行检测得到第十数据，对第十数据进行补偿处理获取第六数据。
需要说明的是，上述各个模块是可以通过软件或硬件来实现的，对于后者，可以通过以下方式实现，但不限于此：上述模块均位于同一处理器中；或者，上述各个模块以任意组合的形式分别位于不同的处理器中。
实施例3
本实施例是根据本申请的可选实施例，用于结合具体的实施方式对本申请进行详细说明：
相关技术中，一种多个用户或数据流免调度、非正交传输方案的主要思想为，系统为多个用户或数据流预配置或半静态配置传输资源，包括且不限于时频资源、扩展序列、参考信号等，其中，多个用户或数据流使用的参考信号不同(即不会发生碰撞)，接收机通过参考信号进行用户识别、信道估计，并对多个用户或数据流所发送的数据进行检测和分离。这里，扩展序列可以需要，也可以不需要，当使用扩展序列时，通过系统预配置或半静态配置，多个用户或数据流可以使用不同的扩展序列(即不会发生碰撞)。这种免调度、非正交传输方案存在的一个缺点是，需要依赖系统进行预配置或半静态配置来保证不会发生碰撞，这导致系统免调度传输机制不够灵活，并且仅能支持有限的用户数量。一种更灵活的免调度、非正交传输方案的主要思想为，用户随机选择传输资源，包括且不限于时频资源、前导序列、扩展序列、参考信号等。这种方案中，不同用户或数据流使用的传输资源可能会发生碰撞。虽然这种免调度传输机制非常灵活，不过，由于碰撞的影响，为了保证用户的传输性能，并支持更多的用户数量，接收机复杂度非常高。为了控制碰撞的影响，一种手段是使用大量的前 导序列、导频序列或参考信号等，来降低碰撞概率，提升用户或数据流的识别检测以及信道估计的准确度，不过，这种手段会占用大量的资源开销，影响系统传输效率。
为了更好的支持上述更灵活的免调度、以及相关技术的非正交传输方案，需要进一步设计良好的发射机传输方案和接收机接收检测方案，以便接收机能够有效实现对多个用户或数据流的接收检测，并保证系统具有较好的传输效率，同时有效控制接收机的复杂度。
本实施例提供了一种数据处理方法，包括发射机和接收机两端的设计方案。
发射机技术方案：
一种数据处理方法，包括：生成第一数据，其中，所述生成第一数据包括以下方式之一：对第二数据进行差分编码生成第三数据，使用序列对所述第三数据进行处理生成所述第一数据；使用序列对第二数据进行处理生成第四数据，对所述第四数据进行差分编码生成所述第一数据；使用序列对第二数据进行处理生成所述第一数据。
可选的，所述第二数据包括以下至少之一：参考信号；数据信息。所述参考信号包括以下至少之一：根据用户身份识别信息确定的参考信号；从参考信号集合中确定的参考信号；预设的参考信号。所述数据信息包括以下之一：数据比特；对数据比特进行编码调制生成的数据符号。所述数据比特包括以下至少之一：有效内容信息；用户身份识别信息；序列信息；序列集合信息；所述参考信号的信息。
可选的，所述序列的长度为L，并且所述序列包括以下至少之一：从序列集合中随机选择的序列；按照预设规则从序列集合中获取的序列；按照系统配置信息从序列集合中获取的序列；随机生成的序列；按照预设规则生成的序列；其中，L为大于1的整数。
可选的，所述对数据进行差分编码，包括以下之一：按照指定方式对所述数据进行差分编码；根据参考信号并按照指定方式对所述数据进行差分编码；根据所述数据中的参考信号并按照指定方式对所述数据进行差分编码；根据所述数据中的参考信号并按照指定方式对所述数据中的数据符号进行差分编码；其中，所述指定方式包括以下至少之一：频域差分编码；时域差分编码；时频域差分编码；分段差分编码。
可选的，所述使用序列对数据进行处理，包括以下之一：使用所述序列对数据进行扩展处理；使用所述序列对数据进行调制处理。
接收机技术方案：
一种数据处理方法，包括：获取第六数据，其中，所述获取第六数据包括以下方式之一：使用序列对第七数据进行检测得到第八数据，对所述第八数据进行差分检测获取所述第六数据；对第七数据进行差分检测得到第九数据，使用序列对所述第九数据进行检测获取所述第六数据；使用序列对第七数据进行检测得到第十数据，对所述第十数据进行指定处理获取所述第六数据。
可选的，所述第七数据包括以下至少之一：接收机各个接收天线接收到的数据；对接收机多个接收天线接收到的数据进行指定处理后得到的数据。
可选的，所述序列的长度为L，并且所述序列包括以下至少之一：序列集合中的序列；按照预设规则生成的序列；根据序列集合和所述第七数据从所述序列集合中识别出来的序 列；根据序列集合和所述第九数据从所述序列集合中识别出来的序列；其中，L为大于1的整数。
可选的，所述使用序列对数据进行检测，包括以下之一：使用序列对将所述数据进行指定处理后得到的数据进行检测；根据所述数据获取相关矩阵，使用序列和相关矩阵对所述数据进行检测；根据将所述数据进行指定处理后得到的数据获取相关矩阵，使用序列和相关矩阵对将所述数据进行指定处理后得到的数据进行检测。
可选的，所述对数据进行差分检测，包括：按照指定方式对所述数据进行差分检测；其中，所述指定方式包括以下至少之一：频域差分检测；时域差分检测；时频域差分检测；分段差分检测。
可选的，本实施例的所述方法还包括以下至少之一：将所述第六数据进行解调和译码获取第十一数据；将所述第六数据进行指定处理后得到的数据进行解调和译码获取第十一数据；将满足指定条件的所述第六数据进行解调和译码获取第十一数据；将满足指定条件的所述第六数据进行指定处理后得到的数据进行解调和译码获取第十一数据；将所述第六数据进行指定处理后得到的且满足指定条件的数据进行解调和译码获取第十一数据。
可选的，本实施例的所述方法还包括：从所述第十一数据中获取信息，其中，所述信息包括以下至少之一：有效内容信息；用户身份识别信息；序列信息；序列集合信息；参考信号的信息。
可选的，本实施例的所述方法还包括：对所述第十一数据进行重构获取第十二数据。
可选的，本实施例的所述方法还包括：使用所述第十二数据进行信道估计，获取信道估计结果。
可选的，本实施例的所述方法还包括：从接收机接收到的数据中去除所述第十二数据的干扰。
本实施例还包括以下多个实施方式：
实施方式1
本实施方式提供了一种数据处理方法，可以应用于发射机中，包括且不限于终端发射机、基站发射机等，图5是本公开实施例提供的一种数据处理方法的流程图一，如图5所示，该方法包括如下步骤：
步骤101：对数据A1进行差分编码生成数据A2；
其中，数据A1包括以下至少之一：参考信号；数据符号；
其中，参考信号也可以称为参考符号、导频信号、导频符号、导频序列、训练符号、训练序列等；
其中，参考信号包括以下至少之一：根据用户身份识别信息确定的参考信号；从参考信号集合中确定的参考信号；预设的参考信号；
其中，数据符号包括：对数据比特进行编码调制生成的数据符号；
其中，数据比特包括以下至少之一：有效内容信息；用户身份识别信息；序列信息；序列集合信息；参考信号的信息；
其中，对数据A1进行差分编码生成数据A2，包括以下之一：
按照指定方式对数据A1进行差分编码，生成数据A2；
根据参考信号并按照指定方式对数据A1进行差分编码，生成数据A2；
根据数据A1中的参考信号并按照指定方式对数据A1进行差分编码，生成数据A2；
根据数据A1中的参考信号并按照指定方式对数据A1中的数据符号进行差分编码，生成数据A2；
其中，指定方式包括以下至少之一：频域差分编码；时域差分编码；时频域差分编码；分段差分编码；
其中，时频域差分编码可以先频域差分编码再时域差分编码，或者先时域差分编码再频域差分编码；
其中，分段差分编码可以与频域差分编码、时域差分编码、或时频域差分编码结合使用，实现频域分段差分编码、时域分段差分编码、或时频域分段差分编码。
需要说明的是，本实施方式中所描述的差分编码也可以称为差分调制。
步骤102：使用序列对数据A2进行处理生成数据A3。
其中，序列包括以下至少之一：从序列集合中随机选择的序列；按照预设规则从序列集合中获取的序列；按照系统配置信息从序列集合中获取的序列；随机生成的序列；按照预设规则生成的序列；其中，序列的长度为L，L为大于1的整数；
其中，序列集合包括以下至少之一：预设的序列集合；按照预设规则生成的序列集合。
其中，使用序列对数据A2进行处理生成数据A3，包括以下之一：使用序列对数据A2进行扩展处理生成数据A3；使用序列对数据A2进行调制处理生成数据A3。
需要说明的是，本实施方式中所描述的序列也可以称为码。
可选地，该方法还包括：
步骤103：将数据A3形成发射信号，用于发送；
其中，将数据A3形成发射信号，包括：将数据A3在指定时频资源上形成发射信号；其中，指定时频资源可以是随机选择的，或者是按照预设规则确定的，或者是系统配置的，其中，系统配置可以采用预配置、半静态配置或动态配置等方式。
该方法中，发射机先对数据进行差分编码，然后使用序列进行扩展或调制处理，有利于接收机通过使用序列进行检测、差分检测实现对用户或数据流的识别检测，仅需要少量的参考信号，通过差分检测即可消除信道的影响，从而具有较好的系统传输效率和较低的接收机复杂度。
该方法可以应用于K个发射机中，K为大于或等于1的整数，K个发射机分别对其数据进行差分编码，然后使用序列进行扩展或调制处理，并将处理后的数据在指定时频资源上形成发射信号，用于发送；其中，K个发射机使用的序列可以是随机选择或随机生成的，可以是正交或非正交的；K个发射机使用的指定时频资源可以是随机选择的，或者可以是相同的时频资源。因此，该方法可以用于实现多用户免调度、非正交传输。
实施方式2
本实施方式提供了一种数据处理方法，可以应用于发射机中，包括且不限于终端发射机、基站发射机等，图6是本公开实施例提供的一种数据处理方法的流程图二，如图6所示，该方法包括如下步骤：
步骤201：使用序列对数据B1进行处理生成数据B2。
其中，数据B1包括以下至少之一：参考信号；数据信息；
其中，参考信号包括以下至少之一：根据用户身份识别信息确定的参考信号；从参考信号集合中确定的参考信号；预设的参考信号；
其中，数据信息包括以下之一：数据比特；对数据比特进行编码调制生成的数据符号；具体地，数据信息可以为以下情况之一：对发送端的待发送数据比特进行编码后得到的数据比特；对发送端的待发送数据比特进行编码、调制后得到的数据符号；
其中，数据比特包括以下至少之一：有效内容信息；用户身份识别信息；序列信息；序列集合信息；参考信号信息；这里需要说明的是，可以将这些信息全部携带在发送端的待发送数据比特中，然后进行编码，得到编码后的数据比特；也可以将这些信息中的部分信息携带在编码后得到的数据比特中，例如将用户身份识别信息携带在循环冗余校验比特中；
其中，序列包括以下至少之一：从序列集合中随机选择的序列；按照预设规则从序列集合中获取的序列；按照系统配置信息从序列集合中获取的序列；随机生成的序列；按照预设规则生成的序列；其中，序列的长度为L，L为大于1的整数；
其中，序列集合包括以下至少之一：预设的序列集合；按照预设规则生成的序列集合。
其中，使用序列对数据B1进行处理生成数据B2，包括以下之一：使用序列对数据B1进行扩展处理生成数据B2；使用序列对数据B1进行调制处理生成数据B2。
步骤202：对数据B2进行差分编码生成数据B3。
其中，对数据B2进行差分编码生成数据B3，包括：
按照指定方式对数据B2进行差分编码，生成数据B3；
根据参考信号并按照指定方式对数据B2进行差分编码，生成数据B3；
根据数据B2中的参考信号并按照指定方式对数据B2进行差分编码，生成数据B3；
根据数据B2中的参考信号并按照指定方式对数据B2中的数据符号进行差分编码，生成数据B3；
其中，数据B2中的参考信号可以为步骤201中使用序列对数据B1的参考信号进行处理后得到的参考信号；
其中，数据B2中的数据符号可以为步骤201中使用序列对数据B1的数据信息进行处理后得到的数据符号；
其中，指定方式包括以下至少之一：频域差分编码；时域差分编码；时频域差分编码；分段差分编码；
其中，时频域差分编码可以先频域差分编码再时域差分编码，或者先时域差分编码再频域差分编码；
其中，分段差分编码可以与频域差分编码、时域差分编码、或时频域差分编码结合使用， 实现频域分段差分编码、时域分段差分编码、或时频域分段差分编码。
可选地，该方法还包括：
步骤203：将数据B3形成发射信号，用于发送；
其中，将数据B3形成发射信号，包括：将数据B3在指定时频资源上形成发射信号；其中，指定时频资源可以是随机选择的，或者是按照预设规则确定的，或者是系统配置的，其中，系统配置可以采用预配置、半静态配置或动态配置等方式。
该方法中，发射机先使用序列对数据进行扩展或调制处理，然后进行差分编码，有利于接收机通过差分检测、使用序列进行检测实现对用户或数据流的识别检测，仅需要少量的参考信号，并且接收机可以先通过差分检测消除信道的影响，有利于改善接收检测性能，从而具有较好的系统传输效率和较低的接收机复杂度。
该方法可以应用于K个发射机中，K为大于或等于1的整数，K个发射机分别使用序列对其数据进行扩展或调制处理，然后进行差分编码，并将处理后的数据在指定时频资源上形成发射信号，用于发送；其中，K个发射机使用的序列可以是随机选择或随机生成的，可以是正交或非正交的；K个发射机使用的指定时频资源可以是随机选择的，或者可以是相同的时频资源。因此，该方法可以用于实现多用户免调度、非正交传输。
实施方式3
本实施方式提供了一种数据处理方法，可以应用于发射机中，包括且不限于终端发射机、基站发射机等，图7是本公开实施例提供的一种数据处理方法的流程图三，如图7所示，该方法包括如下步骤：
步骤301：使用序列对数据C1进行处理生成数据C2。
其中，数据C1包括以下至少之一：参考信号；数据信息；
其中，参考信号包括以下至少之一：根据用户身份识别信息确定的参考信号；从参考信号集合中确定的参考信号；预设的参考信号；
其中，数据信息包括以下之一：数据比特；对数据比特进行编码调制生成的数据符号；具体地，数据信息可以为以下情况之一：对发送端的待发送数据比特进行编码后得到的数据比特；对发送端的待发送数据比特进行编码、调制后得到的数据符号；
其中，数据比特包括以下至少之一：有效内容信息；用户身份识别信息；序列信息；序列集合信息；参考信号信息；这里需要说明的是，可以将这些信息全部携带在发送端的待发送数据比特中，然后进行编码，得到编码后的数据比特；也可以将这些信息中的部分信息携带在编码后得到的数据比特中，例如将用户身份识别信息携带在循环冗余校验比特中；
其中，序列包括以下至少之一：从序列集合中随机选择的序列；按照预设规则从序列集合中获取的序列；按照系统配置信息从序列集合中获取的序列；随机生成的序列；按照预设规则生成的序列；其中，序列的长度为L，L为大于1的整数；
其中，序列集合包括以下至少之一：预设的序列集合；按照预设规则生成的序列集合。
其中，使用序列对数据C1进行处理生成数据C2，包括以下之一：使用序列对数据C1进行扩展处理生成数据C2；使用序列对数据C1进行调制处理生成数据C2。
可选地，该方法还包括：
步骤302：将数据C2形成发射信号，用于发送；
其中，将数据C2形成发射信号，包括：将数据C2在指定时频资源上形成发射信号；其中，指定时频资源可以是随机选择的，或者是按照预设规则确定的，或者是系统配置的，其中，系统配置可以采用预配置、半静态配置或动态配置等方式。
该方法可以应用于K个发射机中，K为大于或等于1的整数，K个发射机分别使用序列对其数据进行扩展或调制处理，然后将处理后的数据在指定时频资源上形成发射信号，用于发送；其中，K个发射机使用的序列可以是随机选择或随机生成的，可以是正交或非正交的；K个发射机使用的指定时频资源可以是随机选择的，或者可以是相同的时频资源。因此，该方法可以用于实现多用户免调度、非正交传输。
该方法中，发射机可以使用序列对其参考信号、数据信息一起进行处理，那么，该方法用于实现多用户免调度、非正交传输时，每个用户使用其序列对其参考信号进行处理，可以降低多用户参考信号的碰撞概率，从而可以改善多用户免调度、非正交传输的性能。
实施方式4
本实施方式提供了一种数据处理方法，可以应用于接收机中，包括且不限于基站接收机、终端接收机等，图8是本公开实施例提供的一种数据处理方法的流程图四，如图8所示，该方法包括如下步骤：
步骤401：使用序列对数据D1进行检测得到数据D2；
其中，数据D1包括以下至少之一：接收机各个接收天线接收到的数据；对接收机多个接收天线接收到的数据进行指定处理得到的数据；
其中，指定处理包括：按照预设规则合并；其中，预设规则包括预设的合并方法、预设的合并矢量；
其中，序列包括以下至少之一：序列集合中的序列；按照预设规则生成的序列；根据序列集合和所述数据D1从所述序列集合中识别出来的序列；其中，序列的长度为L，L为大于1的整数；
其中，序列集合包括以下至少之一：预设的序列集合；按照预设规则生成的序列集合；
其中，使用序列对数据D1进行检测得到数据D2，包括以下之一：
使用序列对数据D1进行检测得到数据D2；例如，将数据D1转换为包含L行N列数据的矩阵M，使用序列对矩阵M进行检测得到数据D2；
使用序列对将数据D1进行处理后得到的数据进行检测，得到数据D2；例如，将数据D1中与多个接收天线对应的数据按照预设规则合并，并将得到的数据转换为包含L行N列数据的矩阵M，使用序列对矩阵M进行检测得到数据D2；或者，将数据D1进行频偏补偿和/或时偏补偿，并将得到的数据转换为包含L行N列数据的矩阵M，使用序列对矩阵M进行检测得到数据D2；
根据数据D1获取相关矩阵，使用序列和相关矩阵对数据D1进行检测，得到数据D2；例如，将数据D1转换为包含L行N列数据的矩阵M，计算矩阵M的自相关矩阵X，使用 序列和自相关矩阵X对矩阵M进行检测得到数据D2；
根据将数据D1进行处理后得到的数据获取相关矩阵，使用序列和相关矩阵对将数据D1进行处理后得到的数据进行检测，得到数据D2；例如，将数据D1中与多个接收天线对应的数据按照预设规则合并，并将得到的数据转换为包含L行N列数据的矩阵M，计算矩阵M的自相关矩阵X，使用序列和自相关矩阵X对矩阵M进行检测得到数据D2；或者，将数据D1进行频偏补偿和/或时偏补偿，并将得到的数据转换为包含L行N列数据的矩阵M，计算矩阵M的自相关矩阵X，使用序列和自相关矩阵X对矩阵M进行检测得到数据D2；
其中，L为序列的长度，N为大于或等于1的整数；
步骤402：对数据D2进行差分检测获取数据D3；
其中，对数据D2进行差分检测获取数据D3，包括：按照指定方式对数据D2进行差分检测获取数据D3；其中，指定方式包括以至少下之一：频域差分检测；时域差分检测；时频域差分检测；分段差分检测。
可选地，该方法还包括：
步骤403：对数据D3进行处理获取数据D4；
其中，对数据D3进行处理获取数据D4，包括以下之一：
将数据D3进行解调和译码获取数据D4；
将数据D3进行指定处理后得到的数据进行解调和译码获取数据D4；
将满足指定条件的数据D3进行解调和译码获取数据D4；
将满足指定条件的数据D3进行指定处理后得到的数据进行解调和译码获取数据D4；
将数据D3进行指定处理后得到的且满足指定条件的数据进行解调和译码获取数据D4；
其中，指定条件包括以下至少之一：信号干扰噪声比(Signal to Interference and Noise Ratio，SINR)较大的Y个；信号干扰噪声比大于指定门限值；其中，Y为大于或等于1的整数；
其中，指定处理包括：加权处理；其中，加权处理可以为标量加权、矢量加权、使用SINR加权等。
可选地，该方法还包括：
步骤404：从数据D4中获取信息；
其中，所述信息包括以下至少之一：有效内容信息；用户身份识别信息；序列信息；序列集合信息；参考信号信息。
可选地，该方法还包括：
步骤405：对数据D4进行重构获取数据D5；
其中，对数据D4进行重构获取数据D5，包括：对数据D4进行编码调制，并进行差分编码，然后使用序列进行扩展或调制等处理，得到数据D5；
需要说明的是，这里所描述的重构处理与相应的发射机的处理过程类似；重构时可以使用从数据D4中获取的信息进行重构。
可选地，该方法还包括：
步骤406：使用数据D5进行信道估计；
其中，使用数据D5进行信道估计，包括：将数据D5作为参考信号，根据接收机接收到的数据进行信道估计，获取信道估计结果；
其中，当已知与多个用户对应的数据D5时，可以使用与多个用户对应的数据D5实施多用户联合信道估计，获取与多个用户对应的信道估计结果。
可选地，该方法还包括：
步骤407：从接收机接收到的数据中去除数据D5的干扰；
其中，接收机接收到的数据包括接收机各个接收天线接收到的数据；
其中，从接收机接收到的数据中去除数据D5的干扰，包括：根据数据D5和信道估计结果从接收机接收到的数据中去除数据D5的干扰。
该方法可以用于实现多用户免调度、非正交传输的接收检测；其中：
可选地，当通过步骤403可以获取到被正确接收的数据时，继续执行后续步骤，否则，当无法获取到被正确接收的数据时，接收机接收检测过程结束；
可选地，当完成步骤407后，接收机接收到的数据会被更新，然后该方法可以重新从步骤401开始执行，以对其他尚未被识别检测出来的用户或数据流进行接收检测。
该方法用于实现免调度时，接收机可能并不知道发射机使用的序列等，此时，上述步骤中，至少步骤401可以采用盲检测的方式实施；例如，对接收机多个接收天线接收到的数据按照预设规则进行盲合并；遍历各个候选序列对数据D1进行盲检测；或者，从各个候选序列中识别出可能被使用的序列，使用这些识别出来的序列对数据D1进行盲检测。
实施方式5
本实施方式提供了一种数据处理方法，可以应用于接收机中，包括且不限于基站接收机、终端接收机等，图9是本公开实施例提供的一种数据处理方法的流程图五，如图9所示，该方法包括如下步骤：
步骤501：对数据E1进行差分检测得到数据E2；
其中，数据E1包括：接收机各个接收天线接收到的数据；
其中，对数据E1进行差分检测得到数据E2，包括：按照指定方式对数据E1进行差分检测得到数据E2；其中，指定方式包括以下至少之一：频域差分检测；时域差分检测；时频域差分检测；分段差分检测。
步骤502：使用序列对数据E2进行检测获取数据E3；
其中，序列包括以下至少之一：序列集合中的序列；按照预设规则生成的序列；根据序列集合和所述数据E2从所述序列集合中识别出来的序列；其中，序列的长度为L，L为大于1的整数；
其中，序列集合包括以下至少之一：预设的序列集合；按照预设规则生成的序列集合；
其中，使用序列对数据E2进行检测获取数据E3，包括以下之一：
使用序列对数据E2进行检测获取数据E3；例如，将数据E2转换为包含L行N列数据的矩阵M，使用序列对矩阵M进行检测获取数据E3；
使用序列对将数据E2进行处理后得到的数据进行检测，获取数据E3；例如，将数据E2中与多个接收天线对应的数据按照预设规则合并，并将得到的数据转换为包含L行N列数据的矩阵M，使用序列对矩阵M进行检测获取数据E3，其中，预设规则包括预设的合并方法、预设的合并矢量；或者，将数据E2进行频偏补偿和/或时偏补偿，并将得到的数据转换为包含L行N列数据的矩阵M，使用序列对矩阵M进行检测得到数据E3；
根据数据E2获取相关矩阵，使用序列和相关矩阵对数据E2进行检测，获取数据E3；例如，将数据E2转换为包含L行N列数据的矩阵M，计算矩阵M的自相关矩阵X，使用序列和自相关矩阵X对矩阵M进行检测获取数据E3；
根据将数据E2进行处理后得到的数据获取相关矩阵，使用序列和相关矩阵对将数据E2进行处理后得到的数据进行检测，获取数据E3；例如，将数据E2中与多个接收天线对应的数据按照预设规则合并，并将得到的数据转换为包含L行N列数据的矩阵M，计算矩阵M的自相关矩阵X，使用序列和自相关矩阵X对矩阵M进行检测获取数据E3；或者，将数据E2进行频偏补偿和/或时偏补偿，并将得到的数据转换为包含L行N列数据的矩阵M，计算矩阵M的自相关矩阵X，使用序列和自相关矩阵X对矩阵M进行检测获取数据E3；
其中，L为序列的长度，N为大于或等于1的整数；
可选地，该方法还包括：
步骤503：对数据E3进行处理获取数据E4；
其中，对数据E3进行处理获取数据E4，包括以下之一：
将数据E3进行解调和译码获取数据E4；
将数据E3进行指定处理后得到的数据进行解调和译码获取数据E4；
将满足指定条件的数据E3进行解调和译码获取数据E4；
将满足指定条件的数据E3进行指定处理后得到的数据进行解调和译码获取数据E4；
将数据E3进行指定处理后得到的且满足指定条件的数据进行解调和译码获取数据E4；
其中，指定条件包括以下至少之一：信号干扰噪声比SINR较大的Y个；信号干扰噪声比大于指定门限值；其中，Y为大于或等于1的整数；
其中，指定处理至少包括：加权处理；其中，加权处理可以为标量加权、矢量加权、使用SINR加权等。
可选地，该方法还包括：
步骤504：从数据E4中获取信息；
其中，所述信息包括以下至少之一：有效内容信息；用户身份识别信息；序列信息；序列集合信息；参考信号信息。
可选地，该方法还包括：
步骤505：对数据E4进行重构获取数据E5；
其中，对数据E4进行重构获取数据E5，包括：对数据E4进行编码调制，并使用序列进行扩展或调制等处理，然后进行差分编码，得到数据E5；
需要说明的是，这里所描述的重构处理与相应的发射机的处理过程类似；重构时可以使 用从数据E4中获取的信息进行重构。
可选地，该方法还包括：
步骤506：使用数据E5进行信道估计；
其中，使用数据E5进行信道估计，包括：将数据E5作为参考信号，根据接收机接收到的数据进行信道估计，获取信道估计结果；
其中，当已知与多个用户对应的数据E5时，可以使用与多个用户对应的数据E5实施多用户联合信道估计，获取与多个用户对应的信道估计结果。
可选地，该方法还包括：
步骤507：从接收机接收到的数据中去除数据E5的干扰。
其中，接收机接收到的数据包括接收机各个接收天线接收到的数据。
其中，从接收机接收到的数据中去除数据E5的干扰，包括：根据数据E5和信道估计结果从接收机接收到的数据中去除数据E5的干扰。
该方法可以用于实现多用户免调度、非正交传输的接收检测；其中：
可选地，当通过步骤503可以获取到被正确接收的数据时，继续执行后续步骤，否则，当无法获取到被正确接收的数据时，接收机接收检测过程结束；
可选地，当完成步骤507后，接收机接收到的数据会被更新，然后该方法可以重新从步骤501开始执行，以对其他尚未被识别检测出来的用户或数据流进行接收检测。
该方法用于实现免调度时，接收机可能并不知道发射机使用的序列等，此时，上述步骤中，至少步骤502可以采用盲检测的方式实施；例如，将与多个接收天线对应的数据按照预设规则进行盲合并；遍历各个候选序列对数据E2进行盲检测；或者，从各个候选序列中识别出可能被使用的序列，使用这些识别出来的序列对数据E2进行盲检测。
实施方式6
本实施方式提供了一种数据处理方法，可以应用于接收机中，包括且不限于基站接收机、终端接收机等，图10是本公开实施例提供的一种数据处理方法的流程图六，如图10所示，该方法包括如下步骤：
步骤601：使用序列对数据F1进行检测得到数据F2。
其中，数据F1包括以下至少之一：接收机各个接收天线接收到的数据；对接收机多个接收天线接收到的数据进行指定处理得到的数据；
其中，指定处理包括以下至少之一：按照预设规则合并，频偏补偿，时偏补偿；其中，预设规则包括预设的合并方法、预设的合并矢量；
其中，序列包括以下至少之一：序列集合中的序列；按照预设规则生成的序列；根据序列集合和所述数据F1从所述序列集合中识别到的序列；其中，序列的长度为L，L为大于1的整数；
其中，序列集合包括以下至少之一：预设的序列集合；按照预设规则生成的序列集合；
其中，使用序列对数据F1进行检测得到数据F2，包括以下之一：
使用序列对数据F1进行检测得到数据F2；例如，将数据F1转换为包含L行N列数据 的矩阵M，使用序列对矩阵M进行检测得到数据F2；
使用序列对将数据F1进行处理后得到的数据进行检测，得到数据F2；例如，将数据F1中与多个接收天线对应的数据按照预设规则合并，并将得到的数据转换为包含L行N列数据的矩阵M，使用序列对矩阵M进行检测得到数据F2，其中，预设规则包括预设的合并方法、预设的合并矢量；或者，将数据F1进行频偏补偿和/或时偏补偿，并将得到的数据转换为包含L行N列数据的矩阵M，使用序列对矩阵M进行检测得到数据F2；
根据数据F1获取相关矩阵，使用序列和相关矩阵对数据F1进行检测，得到数据F2；例如，将数据F1转换为包含L行N列数据的矩阵M，计算矩阵M的自相关矩阵X，使用序列和自相关矩阵X对矩阵M进行检测得到数据F2；
根据将数据F1进行处理后得到的数据获取相关矩阵，使用序列和相关矩阵对将数据F1进行处理后得到的数据进行检测，得到数据F2；例如，将数据F1中与多个接收天线对应的数据按照预设规则合并，并将得到的数据转换为包含L行N列数据的矩阵M，计算矩阵M的自相关矩阵X，使用序列和自相关矩阵X对矩阵M进行检测得到数据F2；或者，将数据F1进行频偏补偿和/或时偏补偿，并将得到的数据转换为包含L行N列数据的矩阵M，计算矩阵M的自相关矩阵X，使用序列和自相关矩阵X对矩阵M进行检测得到数据F2；
其中，L为序列的长度，N为大于或等于1的整数；
步骤602：对数据F2进行指定处理获取数据F3；
其中，指定处理包括：信道补偿或信道均衡；
其中，对数据F2进行指定处理获取数据F3，包括以下之一：
利用数据F2获取信道信息，并对数据F2进行信道补偿获取数据F3；
利用参考信号获取信道信息，并对数据F2进行信道补偿获取数据F3；
利用参考信号和数据F2获取信道信息，并对数据F2进行信道补偿获取数据F3；
利用数据F2中的参考信号获取信道信息，并对数据F2进行信道补偿获取数据F3；
利用数据F2中的参考信号获取信道信息，并对数据F2的数据符号进行信道补偿获取数据F3；
利用数据F2中的参考信号和数据符号获取信道信息，并对数据F2进行信道补偿获取数据F3；
利用数据F2中的参考信号和数据符号获取信道信息，并对数据F2中的数据符号进行信道补偿获取数据F3；
其中，上述参考信号为从承载参考信号的传输资源上接收检测到的参考信号；上述数据符号为从承载数据符号的传输资源上接收检测到的数据符号；
其中，信道补偿包括以下至少之一：信道衰减幅度补偿；信道旋转相位补偿；此外，还可以包括以下至少之一：频偏补偿、时偏补偿；
其中，信道补偿是为了消除信道的影响，也可以被称为信道均衡。
可选地，该方法还包括：
步骤603：对数据F3进行处理获取数据F4；
其中，对数据F3进行处理获取数据F4，包括以下至少之一：
将数据F3进行解调和译码获取数据F4；
将数据F3进行指定处理后得到的数据进行解调和译码获取数据F4；
将满足指定条件的数据F3进行解调和译码获取数据F4；
将满足指定条件的数据F3进行指定处理后得到的数据进行解调和译码获取数据F4；
将数据F3进行指定处理后得到的且满足指定条件的数据进行解调和译码获取数据F4；
其中，指定条件包括以下至少之一：信号干扰噪声比SINR较大的Y个；信号干扰噪声比大于指定门限值；其中，Y为大于或等于1的整数；
其中，指定处理包括以下至少之一：取反处理；加权处理；其中，加权处理可以为标量加权、矢量加权、使用SINR加权等。
可选地，该方法还包括：
步骤604：从数据F4中获取信息。
其中，所述信息包括以下至少之一：有效内容信息；用户身份识别信息；序列信息；序列集合信息；参考信号信息。
可选地，该方法还包括：
步骤605：对数据F4进行重构获取数据F5；
其中，对数据F4进行重构获取数据F5，包括以下之一：对数据F4进行编码调制，然后使用序列进行扩展或调制等处理，得到数据F5；使用序列对数据F4进行扩展或调制等处理，得到数据F5；
需要说明的是，这里所描述的重构处理与相应的发射机的处理过程类似；重构时可以使用从数据F4中获取的信息进行重构。
可选地，该方法还包括：
步骤606：使用数据F5进行信道估计；
其中，使用数据F5进行信道估计，包括：将数据F5作为参考信号，根据接收机接收到的数据进行信道估计，获取信道估计结果；
其中，当已知与多个用户对应的数据F5时，可以使用与多个用户对应的数据F5实施多用户联合信道估计，获取与多个用户对应的信道估计结果。
可选地，该方法还包括：
步骤607：从接收机接收到的数据中去除数据F5的干扰；
其中，接收机接收到的数据包括接收机各个接收天线接收到的数据；
其中，从接收机接收到的数据中去除数据F5的干扰，包括：根据数据F5和信道估计结果从接收机接收的数据中去除数据F5的干扰。
该方法可以用于实现多用户免调度、非正交传输的接收检测；其中：
可选地，当通过步骤603可以获取到被正确接收的数据时，继续执行后续步骤，否则，当无法获取到被正确接收的数据时，接收机接收检测过程结束；
可选地，当完成步骤607后，接收机接收到的数据会被更新，然后该方法可以重新从步 骤601开始执行，以对其他尚未被识别检测出来的用户或数据流进行接收检测。
该方法用于实现免调度时，接收机可能并不知道发射机使用的序列、参考信号等，此时，上述步骤中至少步骤601、步骤602等可以采用盲检测的方式实施；例如，对接收机多个接收天线接收到的数据按照预设规则进行盲合并；遍历各个候选序列对数据F1进行盲检测；或者，从各个候选序列中识别出可能被使用的序列，使用这些识别出来的序列对数据F1进行盲检测；遍历各个参考信号对信道信息进行盲估计；利用数据F2对信道信息进行盲估计。
本公开实施例提供了一种数据处理方法，该方法中，发射机先对数据进行差分编码，然后使用序列进行扩展或调制处理，相应地，接收机先使用序列对接收数据进行检测，然后进行差分检测；或者，发射机先对数据进行扩展或调制处理，然后进行差分编码，相应地，接收机先对接收数据进行差分检测，然后使用序列进行检测；该方法具有以下有益效果：
(1)该方法使用序列进行扩展或调制处理有利于接收机实现对用户或数据流的识别检测，并且可以采用盲检测的方式实施；
(2)该方法使用差分编码有利于接收机通过差分检测消除信道的影响，仅需要少量的参考信号，可以避免复杂的信道估计与均衡，可以避免因为使用大量的前导序列、导频序列或参考信号等而占用大量的资源开销，从而具有较好的系统传输效率和较低的接收机复杂度。
因此，本公开实施例提供的一种数据处理方法可以用于实现更灵活和高效的免调度、非正交传输，具有较好的系统传输效率和较低的接收机复杂度。
应用示例1
本应用示例提供了一种数据处理方法，其处理过程示意图如图11所示，图11是本公开实施例提供的一种数据处理时序图一。
本应用示例中，用户终端首先对待发送的数据比特进行编码调制生成待发送的数据符号；
其中，待发送的数据比特包括待发送的有效内容(例如业务数据)的数据比特、携带用户身份识别信息(例如用户身份识别码)的数据比特、携带用户使用的序列的信息(例如序列索引)的数据比特；
待发送的数据比特中还可以包括携带用户使用的序列所在的序列集合的信息(例如序列集合索引)的数据比特，例如，当存在多个可使用的序列集合时，用户可以随机选择一个序列集合，从该序列集合中确定其使用的序列，也就是说用户使用的序列可能来自于任意一个序列集合；
其中，编码包括例如卷积码、Turbo码、低密度奇偶校验码(Low Density Parity Check，LDPC)等信道编码；调制包括例如二进制相移键控(Binary Phase Shift Keying，BPSK)、正交相移键控(Quadrature Phase Shift Keying，QPSK)，正交振幅调制(Quadrature Amplitude Modulation，QAM)等幅度相位调制。
然后，用户终端根据参考信号对待发送的数据符号进行差分编码；
其中，参考信号也可以称为参考符号、导频信号、导频符号、导频序列、训练符号、训 练序列等；差分编码也可以称为差分调制，例如，差分编码与BPSK结合使用可以构成差分二进制相移键控(Differential Binary Phase Shift Keying，DBPSK)或二进制差分相移键控2DPSK；
需要说明的是，上述待发送的数据比特中还可以包括携带参考信号的信息的数据比特；例如，如果参考信号是根据用户身份识别信息确定的，或者是从参考信号集合中确定的，待发送的数据比特中可以包括参考信号的信息，以便接收机接收检测后利用该信息对发射机发送的数据进行重构和干扰消除；接收机在进行差分检测时，并不需要知道参考信号的信息，而对于多用户免调度、非正交传输，可能同时还有其他用户终端在相同的时频资源上进行传输，那么，接收机可以先将已经正确接收检测的数据进行重构和干扰消除，然后再识别检测其他用户，此时当接收机将已经正确接收检测的数据进行重构和干扰消除时，接收机需要知道参考信号的信息并按照与用户终端发送数据时类似的处理过程进行差分编码等；根据用户身份识别信息确定参考信号或者从参考信号集合中确定参考信号，可以为参考信号引入差异性和随机性，对发射机信号成形和接收机干扰随机化有益，或者，可以用于实现低峰均比的差分编码和信号成形，例如选择合适的参考信号使得差分编码后形成的信号具有较低的峰均比；
如果参考信号为预设的，比如参考信号均为1，则待发送的数据比特中可以不包括参考信号或参考符号的信息；
其中，根据用户身份识别信息确定参考信号，例如可以根据用户身份识别信息生成、选择或按照预设规则确定参考信号；从参考信号集合中确定的参考信号，例如可以从参考信号集合中随机选择或按照预设规则确定参考信号；
用户终端根据参考信号对待发送的数据符号进行差分编码，可以采用以下方式至少之一：
(1)频域差分编码：以正交频分复用(Orthogonal Frequency Division Multiplexing，OFDM)系统为例，假设用户终端使用1个物理资源块(Physical Resource Block，PRB)进行传输，该PRB频域包含12个子载波，索引为0～11，时域包含14个符号，索引为0～13，那么，频域差分编码可以将第0个子载波上的各个符号用于参考符号，将其他子载波上的符号用于数据符号，并按照sym(n,i)＝sym(n-1,i)*sym(n,i)进行差分编码，其中，n为子载波索引且n大于0，i为符号索引，sym(n,i)表示第n个子载波、第i个符号位置上承载的符号；当n＝1时sym(n-1,i)即sym(0,i)表示第0个子载波、第i个符号位置上承载的参考符号，即频域差分编码可以以第0个子载波上的各个参考符号为基准或起点进行差分编码；
(2)时域差分编码：假设用户终端使用1个PRB进行传输，该PRB频域包含12个子载波，索引为0～11，时域包含14个符号，索引为0～13，那么，时域差分编码可以将各个子载波上的第0个符号用于参考符号，将各个子载波上的其他符号用于数据符号，并按照sym(n,i)＝sym(n,i-1)*sym(n,i)进行差分编码，其中，n为子载波索引，i为符号索引且i大于0；或者，假设用户终端使用1个子载波进行single-tone传输，其资源单元频域仅包含1个子载波，时域包含T个符号，索引为0～T-1，那么，时域差分编码可以将第0个符号用于参考符 号，将其他符号用于数据符号，并按照sym(i)＝sym(i-1)*sym(i)进行差分编码，其中，i为符号索引且i大于0；即时域差分编码可以以各个子载波上的第0个符号即参考符号为基准或起点进行差分编码；
(3)时频域差分编码：时频域差分编码可以先频域差分编码再时域差分编码，也可以先时域差分编码再频域差分编码；假设用户终端使用1个PRB进行传输，该PRB频域包含12个子载波，索引为0～11，时域包含14个符号，索引为0～13，时频域差分编码可以将第0个子载波上的第0个符号用于参考符号，将各个子载波上的其他符号用于数据符号；如果先频域差分编码再时域差分编码，那么，可以先按照sym(n,0)＝sym(n-1,0)*sym(n,0)进行频域差分编码，其中，n为子载波索引且n大于0，此时符号索引为0，然后按照sym(n,i)＝sym(n,i-1)*sym(n,i)进行时域差分编码，其中，n为子载波索引，i为符号索引且i大于0；如果先时域差分编码再频域差分编码，那么，可以先按照sym(0,i)＝sym(0,i-1)*sym(0,i)进行时域差分编码，其中，i为符号索引且i大于0，此时子载波索引为0，然后按照sym(n,i)＝sym(n-1,i)*sym(n,i)进行频域差分编码，其中，n为子载波索引且n大于0，i为符号索引；即时频域差分编码可以以第0个子载波上的第0个符号即参考符号为基准或起点进行差分编码；
(4)分段差分编码：分段差分编码可以与频域差分编码、时域差分编码、或时频域差分编码结合使用，实现频域分段差分编码、时域分段差分编码、或时频域分段差分编码；具体处理过程与上述描述类似，不再赘述。
然后，用户终端使用序列对差分编码后得到的符号进行处理；
其中，序列也可以称为码；用户终端使用的序列长度为L，L为大于1的整数；并且，用户终端使用的序列可以是从序列集合中随机选择的，或者是按照预设规则从序列集合中获取的，或者是按照系统配置信息从序列集合中获取的，或者是用户终端随机生成的，或者是用户终端按照预设规则生成的；
其中，序列集合可以为包含W条长度为L的序列的序列集合，该序列集合中的序列是正交的、非正交的、低互相关的或等互相关的；该序列集合可以是预设的或按照预设规则生成的；例如，一种可选的序列集合中，序列元素来自于集合{1+1i,-1+1i,-1-1i,1-1i}；进一步还可以令各个序列的指定位置的元素固定为指定取值，比如各个序列的第一个元素固定为1+1i，各个序列的其他元素可以从取值集合中随机选择，则总共可以得到64条长度为4的序列；另一种可选的序列集合中，序列元素来自于集合{1,1i,-1,-1i}；进一步还可以令各个序列的指定位置的元素固定为指定取值，比如各个序列的第一个元素固定为1，各个序列的其他元素可以从取值集合中随机选择，则同样可以得到64条长度为4的序列；还有一种可选的序列集合生成方法，该方法使用两个较小的序列集合生成所需要的序列集合，比如，序列集合1为包含4条长度为4的序列的哈达码序列集合，序列集合2为包含V个长度为4的序列的序列集合，将序列集合2中的每条序列分别与序列集合1中的每条序列进行点乘运算，可以得到一个包含4*V条长度为4的序列的序列集合；
用户终端使用的序列可以是按照预设规则从序列集合中获取的，例如，根据用户终端的身份识别码和/或服务小区识别码等信息确定序列索引并从序列集合中获取使用的序列；
用户终端使用的序列可以是按照系统配置信息从序列集合中获取的，例如，根据系统预配置、半静态或动态配置信息从序列集合中获取使用的序列；
用户终端使用的序列可以是随机生成的，例如，序列的各个元素可以从取值集合{1,1i,-1,-1i}中随机选择；或者，序列的指定位置的元素固定为指定取值，比如序列的第一个元素固定为1，序列的其他元素可以从取值集合{1,1i,-1,-1i}中随机选择；
用户终端使用的序列可以是按照预设规则生成的，例如，用户终端从序列集合1中选择一条序列，从序列集合2中选择一条序列，将这两条序列进行点乘得到用户终端使用的序列；
用户终端使用的序列可以是实数序列，也可以是复数序列，还可以为包含0元素的序列；
用户终端使用的序列的长度L可以采用较小的值，例如L为2、3、4、6、8、12或16等；
序列集合中的序列可以进一步进行能量归一化，使得每个序列的总能量为1或L；相应地，用户终端使用的序列可以为序列总能量归一化为1或L的序列；
用户终端使用序列对差分编码后得到的符号进行处理，包括：用户终端使用序列对差分编码后得到的符号进行扩展处理或者调制处理；
用户终端使用序列对差分编码后得到的符号进行处理，还包括：对参考信号和待发送的数据符号均进行处理；
由于序列的长度为L，那么，用户终端使用序列对差分编码后得到的每个符号进行处理均会得到L个符号。
然后，用户终端将使用序列处理后得到的符号在指定时频资源上形成发射信号，用于发送；其中，指定时频资源可以是用户终端随机选择的，或者是用户终端按照预设规则确定的，或者是系统配置的，其中，系统配置可以采用预配置、半静态配置或动态配置等方式。
本应用示例中，可以通过显式或隐式的方式在待发送的数据比特中携带用户身份识别信息、用户使用的序列的信息、用户使用的序列所在的序列集合的信息、参考信号的信息等，其中，显式的方式即通过明确的数据比特来携带，隐式的方式即通过有其他作用或含义的数据比特来携带。
本应用示例提供的一种数据处理方法可以应用于K个发射机中，K为大于或等于1的整数，K个发射机分别对其数据进行差分编码，然后使用序列进行扩展或调制处理，并将处理后的数据在指定时频资源上形成发射信号，用于发送；其中，K个发射机使用的序列可以是随机选择的、随机生成的、正交的、非正交的、低互相关的或等互相关的；K个发射机使用的指定时频资源可以是随机选择的，或者可以是相同的时频资源。本应用示例提供的数据处理方法可以用于实现多用户免调度、非正交传输。
应用示例2
本应用示例提供了一种数据处理方法，其处理过程示意图如图12、图13所示，图12是本公开实施例提供的一种数据处理时序图二，图13是本公开实施例提供的一种数据处理时序图三。
本应用示例中，用户终端首先对待发送的数据比特进行编码调制生成待发送的数据符 号；
其中，待发送的数据比特包括待发送的有效内容的数据比特、携带用户身份识别信息的数据比特、携带用户使用的序列的信息的数据比特；还可以包括携带用户使用的序列所在的序列集合的信息的数据比特；具体与上述实施方式描述类似，不再赘述。
然后，用户终端使用序列对待发送的符号进行处理；
其中，待发送的符号包括待发送的数据符号，如图12所示，用户终端使用序列对编码调制后得到的待发送的数据符号进行处理；该方式不使用序列对参考信号进行处理，可以节约资源开销；
或者，待发送的符号包括参考信号和待发送的数据符号，如图13所示，用户终端使用序列对参考信号和编码调制后得到的待发送的数据符号进行处理；该方式使用序列对参考信号进行处理，有利于资源映射；
其中，用户终端使用的序列的长度为L，L为大于1的整数；并且，用户终端使用的序列可以是从序列集合中随机选择的，或者是按照预设规则从序列集合中获取的，或者是按照系统配置信息从序列集合中获取的，或者是用户终端随机生成的，或者是用户终端按照预设规则生成的；具体与上述实施方式描述类似，不再赘述；
用户终端使用序列对待发送的符号进行处理，包括：用户终端使用序列对待发送的符号进行扩展处理或者调制处理。
然后，用户终端根据参考信号对使用序列处理后得到的符号进行差分编码；
需要说明的是，上述待发送的数据比特中还可以包括携带参考信号的信息的数据比特，以便接收机接收检测后利用该信息对发射机发送的数据进行重构和干扰消除；具体与上述实施方式描述类似，不再赘述；
用户终端根据参考信号对使用序列处理后得到的符号进行差分编码，可以采用以下方式至少之一：频域差分编码；时域差分编码；时频域差分编码；分段差分编码；具体与上述实施方式描述类似，不再赘述；
其中，对于图13所示的处理过程，用户终端使用序列对参考信号和数据符号均进行了处理，得到处理后的参考信号和数据符号，符号总数量是原来的L倍，差分编码过程可以根据处理后的参考信号对处理后的数据符号进行差分编码，或者可以根据处理后的参考信号对处理后的参考信号和数据符号进行差分编码。
然后，用户终端将差分编码后得到的符号在指定时频资源上形成发射信号，用于发送；其中，指定时频资源可以是用户终端随机选择的，或者是用户终端按照预设规则确定的，或者是系统配置的，其中，系统配置可以采用预配置、半静态配置或动态配置等方式。
本应用示例提供的数据处理方法可以应用于K个发射机中，K为大于或等于1的整数，K个发射机分别使用序列对其数据进行扩展或调制处理，然后进行差分编码，并将处理后的数据在指定时频资源上形成发射信号，用于发送；其中，K个发射机使用的序列可以是随机选择的、随机生成的、正交的、非正交的、低互相关的或等互相关的；K个发射机使用的指定时频资源可以是随机选择的，或者可以是相同的时频资源。该方法可以用于实现多用户免 调度、非正交传输。
应用示例3
本应用示例提供了一种数据处理方法，其处理过程示意图如图14、图15所示，图14是本公开实施例提供的一种数据处理时序图四，图15是本公开实施例提供的一种数据处理时序图五。
本应用示例中，用户终端首先对待发送的数据比特进行编码调制生成待发送的数据符号；
其中，待发送的数据比特包括待发送的有效内容的数据比特、携带用户身份识别信息的数据比特、携带用户使用的序列的信息的数据比特；还可以包括携带用户使用的序列所在的序列集合的信息的数据比特；具体与上述实施方式描述类似，不再赘述。
然后，用户终端使用序列对待发送的符号进行处理；
其中，待发送的符号包括待发送的数据符号，如图14所示，用户终端使用序列对编码调制后得到的待发送的数据符号进行处理；
或者，待发送的符号包括参考信号和待发送的数据符号，如图15所示，用户终端使用序列对参考信号和编码调制后得到的待发送的数据符号进行处理；此时，上述待发送的数据比特中还可以包括携带参考信号的信息的数据比特，以便接收机接收检测后利用该信息对发射机发送的数据进行重构和干扰消除；具体与上述实施方式描述类似，不再赘述；
其中，用户终端使用的序列的长度为L，L为大于1的整数；并且，用户终端使用的序列可以是从序列集合中随机选择的，或者是按照预设规则从序列集合中获取的，或者是按照系统配置信息从序列集合中获取的，或者是用户终端随机生成的，或者是用户终端按照预设规则生成的；具体与上述实施方式描述类似，不再赘述；
用户终端使用序列对待发送的符号进行处理，包括：用户终端使用序列对待发送的符号进行扩展处理或者调制处理。
然后，用户终端将使用序列处理后得到的符号在指定时频资源上形成发射信号，用于发送；其中，指定时频资源可以是用户终端随机选择的，或者是用户终端按照预设规则确定的，或者是系统配置的，其中，系统配置可以采用预配置、半静态配置或动态配置等方式。
本应用示例提供的数据处理方法可以应用于K个发射机中，K为大于或等于1的整数，K个发射机分别使用序列对其数据进行扩展或调制处理，然后将处理后的数据在指定时频资源上形成发射信号，用于发送；其中，K个发射机使用的序列可以是随机选择的、随机生成的、正交的、非正交的、低互相关的或等互相关的；K个发射机使用的指定时频资源可以是随机选择的，或者可以是相同的时频资源。该方法可以用于实现多用户免调度、非正交传输。
应用示例4
本应用示例提供了一种数据处理方法。
本应用实例中，基站接收机首先使用序列对接收到的数据进行检测；
其中，基站接收机接收到的数据包括以下至少之一：接收机各个接收天线接收到的数据；对接收机多个接收天线接收到的数据按照预设规则合并得到的数据；
其中，预设规则包括预设的合并方法、预设的合并矢量等，例如，假设接收机有两个接收天线，预设的合并矢量可以包括以下至少之一：(1,0),(0,1),(1/sqrt(2),1/sqrt(2)),(1/sqrt(2),-1/sqrt(2)),(1/sqrt(2),1i/sqrt(2)),(1/sqrt(2),-1i/sqrt(2))，其中，sqrt()表示平方根运算，将接收机两个接收天线接收到的数据按照预设的合并矢量加权后进行相加，得到合并后的数据；这里的按照预设规则合并可以看做是一种盲合并的处理；
其中，基站接收机使用序列对接收到的数据进行检测，包括：将接收到的数据转换为包含L行N列数据的矩阵M，使用序列S对矩阵M进行检测；或者，将接收到的数据转换为包含L行N列数据的矩阵M，计算矩阵M的自相关矩阵X，使用序列S和自相关矩阵X对矩阵M进行检测；其中，L为序列的长度；L行N列数据的每一列包括L个数据，与发射机使用长度为L的序列对一个符号进行处理后得到的L个符号对应，表示这L个符号经过信道传输后接收机接收到的L个数据；当多个发射机使用相同的时频资源进行传输时，接收机接收到的这L个数据为多个发射机分别发送的L个符号经过信道传输后叠加在一起的数据；
具体地，使用序列S对矩阵M进行检测，例如，序列为S的长度为L，包含L个元素，可以描述为L*1的矢量，将序列S进行共轭转置得到S’，则S’为1*L的矢量，然后将S’与矩阵M进行矩阵乘法运算，可以得到包含1*N个数据的检测结果；
使用序列S和自相关矩阵X对矩阵M进行检测，例如，将序列S进行共轭转置得到1*L的矢量S’，自相关矩阵X为L*L的矩阵，计算自相关矩阵X的逆矩阵inv(X)，然后将S’、逆矩阵inv(X)和矩阵M进行矩阵乘法运算，可以得到包含1*N个数据的检测结果。
其中，基站接收机使用的序列至少包括以下之一：序列集合中的序列；按照预设规则生成的序列；根据序列集合和接收到的数据从所述序列集合中识别到的序列；
其中，序列集合可以为包含W条长度为L的序列的序列集合，该序列集合中的序列是正交的、非正交的、低互相关的或等互相关的；该序列集合可以是预设的或者按照预设规则生成的；例如，一种可选的序列集合中，序列元素来自于集合{1+1i,-1+1i,-1-1i,1-1i}，并且各个序列的指定位置的元素固定为指定取值，比如各个序列的第一个元素固定为1+1i，各个序列的其他元素可以从取值集合中随机选择，则总共可以得到64条长度为4的序列；另一种可选的序列集合中，序列元素来自于集合{1,1i,-1,-1i}，并且各个序列的指定位置的元素固定为指定取值，比如各个序列的第一个元素固定为1，各个序列的其他元素可以从取值集合中随机选择，则同样可以得到64条长度为4的序列；还有一种可选的序列集合生成方法，该方法使用两个较小的序列集合生成所需要的序列集合，例如，序列集合1为包含4条长度为4的序列的哈达码序列集合，序列集合2为包含V个长度为4的序列，将序列集合2中的每条序列分别与序列集合1中的每条序列进行点乘运算，可以得到一个包含4*V条长度为4的序列的序列集合；序列集合中的序列可以进一步进行能量归一化，使得每个序列的总能量为1或L；
基站接收机使用的序列可以是按照预设规则生成的序列，例如，序列的指定位置的元素固定为指定取值，比如序列的第一个元素固定为1，序列的其他元素可以从取值集合{1,1i,-1,-1i}中随机选择；或者，从序列集合1中选择一条序列，从序列集合2中选择一条序列，将 这两条序列进行点乘得到使用的序列；
本应用示例提供的数据处理方法用于实现免调度时，接收机可能并不知道发射机使用的序列，此时，接收机可以使用序列集合中的所有序列或部分序列对接收到的数据进行盲检测；例如，假设序列集合包含W条长度为L的序列，接收机使用序列集合中的所有序列对接收到的数据进行盲检测，则可以得到包含W*N个数据的检测结果，该检测结果包含W行，每行包含1*N个数据，与序列集合中的一个序列对应。
为了减少盲检测得到的数据量，降低接收机后续处理的复杂度，接收机使用的序列还可以为根据序列集合和接收到的数据从序列集合中识别到的序列；例如，假设序列集合包含W条长度为L的序列，可以描述为W*L的矩阵Q，将接收到的数据转换为包含L行N列数据的矩阵M，计算矩阵M的自相关矩阵X，自相关矩阵X为L*L的矩阵，然后将矩阵Q、矩阵X、矩阵Q的共轭转置矩阵Q’进行矩阵乘法运算，得到一个W*W的矩阵，获取该矩阵的对角线元素并计算绝对值，然后进行排序，取较大的Z个值对应的序列作为识别出来的序列；或者，将矩阵Q、矩阵X的逆矩阵inv(X)、矩阵Q的共轭转置矩阵Q’进行矩阵乘法运算，得到一个W*W的矩阵，获取该矩阵的对角线元素并计算绝对值，然后进行排序，取较小的Z个值对应的序列作为识别出来的序列。
然后，基站接收机对使用序列检测后得到的数据进行差分检测；
基站接收机可以采用以下方式至少之一对使用序列检测得到的数据进行差分检测：
(1)频域差分检测：假设发射机使用1个PRB进行传输，该PRB频域包含12个子载波，索引为0～11，时域包含14个符号，索引为0～13，并且发射机将第0个子载波上的各个符号用于参考符号，将其他子载波上的符号用于数据符号，并按照sym(n,i)＝sym(n-1,i)*sym(n,i)进行差分编码，其中，n为子载波索引且n大于0，i为符号索引，sym(n,i)表示第n个子载波、第i个符号位置上承载的符号，那么，接收机可以按照DiffDetSym(n,i)＝SeqDetSym(n,i)*conj(SeqDetSym(n-1,i))进行差分检测，其中，n为子载波索引且n大于0，i为符号索引，conj()表示取共轭运算，SeqDetSym(n,i)表示接收机使用序列检测后得到的第n个子载波、第i个符号位置上的符号，DiffDetSym(n,i)表示接收机进行差分检测后得到的第n个子载波、第i个符号位置上的符号；
(2)时域差分检测：假设发射机使用1个PRB进行传输，该PRB频域包含12个子载波，索引为0～11，时域包含14个符号，索引为0～13，并且发射机将各个子载波上的第0个符号用于参考符号，将各个子载波上的其他符号用于数据符号，并按照sym(n,i)＝sym(n,i-1)*sym(n,i)进行差分编码，其中，n为子载波索引，i为符号索引且i大于0；那么，接收机可以按照DiffDetSym(n,i)＝SeqDetSym(n,i)*conj(SeqDetSym(n,i-1))进行差分检测，其中，n为子载波索引，i为符号索引且i大于0；如果发射机使用1个子载波进行single-tone传输，其资源单元频域仅包含1个子载波，时域包含T个符号，索引为0～T-1，并且发射机将第0个符号用于参考符号，将其他符号用于数据符号，并按照sym(i)＝sym(i-1)*sym(i)进行差分编码，其中，i为符号索引且i大于0；那么，接收机可以按照DiffDetSym(i)＝SeqDetSym(i)*conj(SeqDetSym(i-1))进行差分检测，其中，i为符号索引且i大于0；
(3)时频域差分检测：时频域差分检测可以先频域差分检测再时域差分检测，也可以先时域差分检测再频域差分检测；与发射机差分编码过程相对应，如果发射机先频域差分编码再时域差分编码，则接收机先时域差分检测再频域差分检测；如果发射机先时域差分编码再频域差分编码，则接收机先频域差分检测再时域差分检测；其中，频域差分检测、时域差分检测的过程与上述描述类似，不再赘述。
(4)分段差分检测：分段差分检测可以与频域差分检测、时域差分检测、或时频域差分检测结合使用，实现频域分段差分检测、时域分段差分检测、或时频域分段差分检测；与发射机差分编码过程相对应进行处理即可，具体过程与上述描述类似，不再赘述。
然后，基站接收机对差分检测后得到的数据进行解调译码；
这里，基站接收机还可以对差分检测后得到的数据进行加权处理，然后将得到的数据进行解调译码，例如，可以使用SINR进行标量加权或矢量加权等；
基站接收机使用多个序列对接收到的数据进行检测可以得到多个检测结果，对每个检测结果进行差分检测，同样可以得到多个检测结果，此时，基站接收机可以对其中SINR比较大的若干个检测结果或者SINR大于指定门限值的检测结果进行解调译码；或者，基站接收机可以对其中SINR比较大的若干个检测结果或者SINR大于指定门限值的检测结果分别进行加权处理后进行解调译码；或者，基站接收机可以对多个检测结果分别进行加权处理然后将其中SINR比较大的若干个检测结果或者SINR大于指定门限值的检测结果进行解调译码。
然后，当基站接收机在解调译码后获取到被正确接收的数据时，基站接收机可以从正确接收的数据中获取信息；
其中，基站可以根据译码输出的循环冗余校验(Cyclic Redundancy Check，CRC)结果来判断是否译码正确，从而可以判断是否获取到被正确接收的数据；
其中，基站接收机可以从正确接收的数据中获取的信息包括以下至少之一：发射机发送的业务数据；发射机身份识别码；发射机使用的序列；发射机使用的序列所在的序列集合；发射机使用并发送的参考信号。
然后，根据获取到的信息，基站接收机可以对发射机发送的数据进行重构，以便进行干扰消除，重构过程与发射机发送数据的处理过程类似，例如，对数据比特进行编码调制，并进行差分编码，然后使用序列进行扩展或调制处理，得到发射机发送的数据。
为了更准确的进行干扰消除，降低干扰消除误差，避免误差传播，基站接收机还可以使用重构后得到的数据进行信道估计，具体地，将重构后得到的数据作为参考信号，根据基站接收机接收到的数据进行信道估计，获取信道估计结果；
当基站接收机检测并获取到多个发射机或用户的数据时，基站接收机可以使用重构后的与这些用户分别对应的数据实施多用户联合信道估计，具体地，例如，可以基于最小二乘算法实施多用户联合信道估计，获取与这些用户分别对应的信道估计结果；
另外，获取信道估计结果时，基站接收机还可以对信道估计结果进行平滑处理，通过平滑处理可以改善信道估计结果。
然后，基站接收机可以从接收到的数据中去除已经被正确检测和接收的发射机发送的数 据造成的干扰；其中，基站接收机接收到的数据包括接收机各个接收天线接收到的数据；并且，基站接收机通过重构过程已经得到被正确检测和接收的发射机发送的数据；那么，基站可以根据重构后得到的数据和信道估计结果从接收机接收到的数据中去除这些数据的干扰，实现干扰消除；当多个用户发送的数据被基站接收机正确检测和接收时，基站接收机可以对这些用户发送的数据均进行干扰消除。
干扰消除过程之后，基站接收机接收到的数据会被更新，根据更新后的接收数据，基站接收机可以重新执行接收机处理过程，以对其他尚未被识别检测出来的用户或数据流进行接收检测。
本应用示例中，基站接收机还可以在对数据进行检测或重构的过程中，对数据进行频偏补偿和/或时偏补偿。
本应用示例中，当基站接收机在解调译码后没有获取到被正确接收的数据时，接收检测过程结束。
本应用示例中，基站接收机还可以根据其他条件判断接收检测过程是否结束，例如，接收机从正确接收的数据中获取信息后，可以判断已经执行的接收检测迭代次数是否达到预先设置的或按照预设规则确定的最大迭代次数，如果没有达到，则继续执行后续步骤，如果达到，则接收检测过程结束。
应用示例5
本应用示例提供了一种数据处理方法。
本应用实例中，基站接收机首先对接收到的数据进行差分检测；
其中，基站接收机接收到的数据包括：接收机各个接收天线接收到的数据；
基站接收机可以采用以下方式至少之一对接收到的数据进行差分检测：频域差分检测、时域差分检测、时频域差分检测、分段差分检测；与发射机差分编码过程相对应进行处理，具体与上述实施方式描述类似，不再赘述。
然后，基站接收机使用序列对差分检测后得到的数据进行检测；
其中，基站接收机使用序列对差分检测后得到的数据进行检测，包括：将差分检测后得到的数据转换为包含L行N列数据的矩阵M，使用序列S对矩阵M进行检测；或者，对差分检测后得到的数据进行指定处理，然后转换为包含L行N列数据的矩阵M，并使用序列S对矩阵M进行检测；或者，将差分检测后得到的数据转换为包含L行N列数据的矩阵M，计算矩阵M的自相关矩阵X，使用序列S和自相关矩阵X对矩阵M进行检测；或者，对差分检测后得到的数据进行指定处理，然后转换为包含L行N列数据的矩阵M，并计算矩阵M的自相关矩阵X，使用序列S和自相关矩阵X对矩阵M进行检测；其中，L为序列的长度；具体与上述实施方式描述类似，不再赘述；
其中，对差分检测后得到的数据进行指定处理，例如，将差分检测后得到的与多个接收天线对应的数据按照预设规则进行合并，其中，预设规则包括预设的合并方法、预设的合并矢量等；具体与上述实施方式描述类似，不再赘述；还可以对差分检测后得到的数据进一步进行频偏补偿和/或时偏补偿等。
其中，基站接收机使用的序列包括以下至少之一：序列集合中的序列；按照预设规则生成的序列；根据序列集合和差分检测后得到的数据从所述序列集合中识别到的序列；具体与上述实施方式描述类似，不再赘述。
然后，基站接收机对使用序列检测后得到的数据进行解调译码；
这里，基站接收机还可以先对使用序列检测后得到的数据进行加权处理，然后进行解调译码，例如，可以使用SINR进行标量加权或矢量加权等；
基站接收机使用多个序列对差分检测后得到的数据进行检测可以得到多个检测结果，此时，基站接收机可以对其中SINR比较大的若干个检测结果或者SINR大于指定门限值的检测结果进行解调译码；或者，基站接收机可以对其中SINR比较大的若干个检测结果或者SINR大于指定门限值的检测结果分别进行加权处理后进行解调译码；或者，基站接收机可以对多个检测结果分别进行加权处理然后将其中SINR比较大的若干个检测结果或者SINR大于指定门限值的检测结果进行解调译码。
然后，当基站接收机在解调译码后获取到被正确接收的数据时，基站接收机可以从正确接收的数据中获取信息；
其中，基站接收机可以从正确接收的数据中获取的信息包括以下至少之一：发射机发送的业务数据；发射机身份识别码；发射机使用的序列；发射机使用的序列所在的序列集合；发射机使用并发送的参考信号。
然后，根据获取到的信息，基站接收机可以对发射机发送的数据进行重构，以便进行干扰消除；重构过程与发射机发送数据的处理过程类似，例如，对数据比特进行编码调制，并使用序列进行扩展或调制处理，然后进行差分编码，得到发射机发送的数据。
为了更准确的进行干扰消除，降低干扰消除误差，避免误差传播，基站接收机还可以使用重构后得到的数据进行信道估计，具体地，将重构后得到的数据作为参考信号，根据基站接收机接收到的数据进行信道估计，获取信道估计结果；
当基站接收机检测并获取到多个发射机或用户的数据时，基站接收机可以使用重构后的与这些用户分别对应的数据实施多用户联合信道估计，具体地，例如，可以基于最小二乘算法实施多用户联合信道估计，获取与这些用户分别对应的信道估计结果。
然后，基站接收机可以从接收到的数据中去除已经被正确检测和接收的发射机发送的数据造成的干扰；其中，基站接收机接收到的数据包括接收机各个接收天线接收到的数据；并且，基站接收机通过重构过程已经得到被正确检测和接收的发射机发送的数据；那么，基站可以根据重构后得到的数据和信道估计结果从接收机接收到的数据中去除这些数据的干扰，实现干扰消除；当多个用户发送的数据被基站接收机正确检测和接收时，基站接收机可以对这些用户发送的数据均进行干扰消除。
干扰消除过程之后，基站接收机接收到的数据会被更新，根据更新后的接收数据，基站接收机可以重新执行接收机处理过程，以对其他尚未被识别检测出来的用户或数据流进行接收检测。
应用示例6
本应用示例提供了一种数据处理方法。
本应用实例中，基站接收机首先使用序列对接收到的数据进行检测；
其中，基站接收机接收到的数据包括以下至少之一：接收机各个接收天线接收到的数据；对接收机多个接收天线接收到的数据按照预设规则合并得到的数据；其中，按照预设规则合并的过程与上述实施方式描述类似，不再赘述；这里基站接收机还可以对接收到的数据进行频偏补偿和/或时偏补偿，例如按照预设的补偿量进行补偿等；
其中，基站接收机使用序列对接收到的数据进行检测，包括：将接收到的数据转换为包含L行N列数据的矩阵M，使用序列S对矩阵M进行检测；或者，将接收到的数据转换为包含L行N列数据的矩阵M，计算矩阵M的自相关矩阵X，使用序列S和自相关矩阵X对矩阵M进行检测；其中，L为序列的长度；具体与上述实施方式描述类似，不再赘述；
其中，基站接收机使用的序列包括以下至少之一：序列集合中的序列；按照预设规则生成的序列；根据序列集合和接收到的数据从所述序列集合中识别到的序列；具体与上述实施方式描述类似，不再赘述。
然后，基站接收机对使用序列检测后得到的数据进行信道估计与补偿；
其中，基站接收机对使用序列检测后得到的数据进行信道估计与补偿，至少包括以下之一：根据使用序列检测后得到的数据获取信道信息，并对使用序列检测后得到的数据进行信道补偿；根据参考信号获取信道信息，并对使用序列检测后得到的数据进行信道补偿；根据参考信号和使用序列检测后得到的数据获取信道信息，并对使用序列检测后得到的数据进行信道补偿；根据使用序列检测后得到的数据中的参考信号获取信道信息，并对使用序列检测后得到的数据进行信道补偿；根据使用序列检测后得到的数据中的参考信号获取信道信息，并对使用序列检测后得到的数据中的数据符号进行信道补偿；根据使用序列检测后得到的数据中的参考信号和数据符号获取信道信息，并对使用序列检测后得到的数据进行信道补偿；根据使用序列检测后得到的数据中的参考信号和数据符号获取信道信息，并对使用序列检测后得到的数据中的数据符号进行信道补偿；其中，信道补偿是为了消除信道的影响，也可以被称为信道均衡；
本应用示例提供的数据处理方法用于实现免调度时，接收机可能并不知道发射机使用的参考信号，此时接收机可以使用参考信号集合中的所有参考信号通过信道盲估计的方式获取信道信息；
接收机根据使用序列检测后得到的数据获取信道信息也可以看做一种信道盲估计的处理；具体地，接收机可以根据使用序列检测后得到的数据的统计信息来盲估计信道信息，例如信道旋转相位等；
接收机可以联合参考信号和数据符号获取信道信息，例如利用根据参考信号获取到的信道信息调整根据数据符号获取到的信息信息，这有利于获取到更准确的信道信息；
基站接收机还可以对获取的信道信息进行平滑处理，通过平滑处理可以改善获取的信道信息。
基站接收机还可以对使用序列检测后得到的数据进行频偏补偿和/或时偏补偿。
然后，基站接收机对信道补偿后得到的数据进行解调译码；
这里，基站接收机还可以对信道补偿后得到的数据进行指定处理，然后将得到的数据进行解调译码，其中，指定处理包括取反处理、使用预设因子进行标量加权或矢量加权、使用SINR进行标量加权或矢量加权等；由于所获取的信道信息可能存在不确定性，接收机还可以将未经过指定处理的数据和经过指定处理的数据均进行解调译码；另外，指定处理也可以在对数据进行解调后实施；
基站接收机使用多个序列对接收到的数据进行检测可以得到多个检测结果，此时，基站接收机可以对其中SINR比较大的若干个检测结果或者SINR大于指定门限值的检测结果进行解调译码；或者，基站接收机可以对其中SINR比较大的若干个检测结果或者SINR大于指定门限值的检测结果分别进行上述指定处理后进行解调译码；或者，基站接收机可以对多个检测结果分别进行上述指定处理然后将其中SINR比较大的若干个检测结果或者SINR大于指定门限值的检测结果进行解调译码。
然后，当基站接收机在解调译码后获取到被正确接收的数据时，基站接收机可以从正确接收的数据中获取信息；
其中，基站接收机可以从正确接收的数据中获取的信息包括以下至少之一：发射机发送的业务数据；发射机身份识别码；发射机使用的序列；发射机使用的序列所在的序列集合；发射机使用并发送的参考信号。
然后，根据获取到的信息，基站接收机可以对发射机发送的数据进行重构，以便进行干扰消除；重构过程与发射机发送数据的处理过程类似，例如，对数据比特进行编码调制，然后使用序列进行扩展或调制处理，得到发射机发送的数据。
为了更准确的进行干扰消除，降低干扰消除误差，避免误差传播，基站接收机还可以使用重构后得到的数据进行信道估计，具体地，将重构后得到的数据作为参考信号，根据基站接收机接收到的数据进行信道估计，获取信道估计结果；
当基站接收机检测并获取到多个发射机或用户的数据时，基站接收机可以使用重构后的与这些用户分别对应的数据实施多用户联合信道估计，具体地，例如，可以基于最小二乘算法实施多用户联合信道估计，获取与这些用户分别对应的信道估计结果。
然后，基站接收机可以从接收到的数据中去除已经被正确检测和接收的发射机发送的数据造成的干扰；其中，基站接收机接收到的数据包括接收机各个接收天线接收到的数据；并且，基站接收机通过重构过程已经得到被正确检测和接收的发射机发送的数据；那么，基站可以根据重构后得到的数据和信道估计结果从接收机接收到的数据中去除这些数据的干扰，实现干扰消除；当多个用户发送的数据被基站接收机正确检测和接收时，基站接收机可以对这些用户发送的数据均进行干扰消除。
干扰消除过程之后，基站接收机接收到的数据会被更新，根据更新后的接收数据，基站接收机可以重新执行接收机处理过程，以对其他尚未被识别检测出来的用户或数据流进行接收检测。
实施例4
本公开的实施例还提供了一种存储介质。可选地，在本实施例中，上述存储介质可以被设置为存储用于执行以下步骤的程序代码：
S1，生成第一数据，其中，生成所述第一数据包括以下之一：对第二数据进行差分编码生成第三数据，使用序列对所述第三数据进行处理生成所述第一数据；使用序列对所述第二数据进行处理生成第四数据，对所述第四数据进行差分编码生成所述第一数据；使用序列对所述第二数据进行处理生成所述第一数据。
可选地，在本实施例中，上述存储介质可以包括但不限于：U盘、只读存储器(ROM，Read-Only Memory)、随机存取存储器(RAM，Random Access Memory)、移动硬盘、磁碟或者光盘等各种可以存储程序代码的介质。
可选地，在本实施例中，处理器根据存储介质中已存储的程序代码执行：
生成第一数据，其中，生成所述第一数据包括以下之一：对第二数据进行差分编码生成第三数据，使用序列对所述第三数据进行处理生成所述第一数据；使用序列对所述第二数据进行处理生成第四数据，对所述第四数据进行差分编码生成所述第一数据；使用序列对所述第二数据进行处理生成所述第一数据。
可选地，本实施例中的具体示例可以参考上述实施例及可选实施方式中所描述的示例，本实施例在此不再赘述。
显然，本领域的技术人员应该明白，上述的本公开的各模块或各步骤可以用通用的计算装置来实现，它们可以集中在单个的计算装置上，或者分布在多个计算装置所组成的网络上，可选地，它们可以用计算装置可执行的程序代码来实现，从而，可以将它们存储在存储装置中由计算装置来执行，并且在某些情况下，可以以不同于此处的顺序执行所示出或描述的步骤，或者将它们分别制作成各个集成电路模块，或者将它们中的多个模块或步骤制作成单个集成电路模块来实现。这样，本公开不限制于任何特定的硬件和软件结合。
以上所述仅为本公开的可选实施例而已，并不用于限制本公开，对于本领域的技术人员来说，本公开可以有各种更改和变化。凡在本公开的精神和原则之内，所作的任何修改、等同替换、改进等，均应包含在本公开的保护范围之内。
工业实用性
本公开适用于通信领域，用以解决相关技术不够灵活、支持用户数量少、资源开销大、系统传输效率差、接收机复杂度高等问题，可以实现更灵活和高效的免调度、非正交传输，具有较好的系统传输效率和较低的接收机复杂度。

Claims (25)

  1. 一种数据处理方法，包括：
    生成第一数据，其中，生成所述第一数据包括以下之一：对第二数据进行差分编码生成第三数据，使用序列对所述第三数据进行处理生成所述第一数据；使用序列对所述第二数据进行处理生成第四数据，对所述第四数据进行差分编码生成所述第一数据；使用序列对所述第二数据进行处理生成所述第一数据。
  2. 根据权利要求1所述的方法，其中，所述第二数据包括以下至少之一：参考信号；数据信息。
  3. 根据权利要求2所述的方法，其中，所述参考信号包括以下之一：根据用户身份识别信息确定的参考信号；从参考信号集合中确定的参考信号；预设的参考信号。
  4. 根据权利要求2所述的方法，其中，所述数据信息包括以下之一：数据比特；对数据比特进行编码调制生成的数据符号。
  5. 根据权利要求4所述的方法，其中，所述数据比特包括以下至少之一：有效内容信息；用户身份识别信息；序列信息；序列集合信息；参考信号的信息。
  6. 根据权利要求1所述的方法，其中，所述序列包括以下至少之一：
    从第一序列集合中随机选择的序列；
    按照第一预设规则从第二序列集合中获取的序列；
    按照系统配置信息从第三序列集合中获取的序列；
    随机生成的序列；
    按照第二预设规则生成的序列；
    其中，所述序列的长度为L，L为大于1的整数。
  7. 根据权利要求1所述的方法，其中，对第二数据进行差分编码生成第三数据包括以下之一：
    按照指定方式对所述第二数据进行差分编码生成第三数据；
    根据参考信号并按照指定方式对所述第二数据进行差分编码生成第三数据；
    根据所述第二数据中的参考信号，按照指定方式对所述第二数据进行差分编码生成第三数据；
    根据所述第二数据中的参考信号，按照指定方式对所述第二数据中的数据符号进行差分编码生成第三数据；
    其中，所述指定方式包括以下至少之一：频域差分编码，时域差分编码，时频域差分编码，分段差分编码。
  8. 根据权利要求1所述的方法，其中，使用序列对所述第三数据进行处理生成所述第一数据包括：使用序列对所述第三数据进行扩展处理或调制处理生成所述第一数据。
  9. 根据权利要求1所述的方法，其中，使用序列对所述第二数据进行处理包括：使用序列对所述第二数据进行扩展处理或调制处理。
  10. 根据权利要求1所述的方法，其中，对所述第四数据进行差分编码生成所述第一数据包括以下之一：
    按照指定方式对所述第四数据进行差分编码生成所述第一数据；
    根据参考信号并按照指定方式对所述第四数据进行差分编码生成所述第一数据；
    根据所述第四数据中包含的使用序列对参考信号进行处理后得到的符号，按照指定方式对所述第四数据进行差分编码生成所述第一数据；
    根据所述第四数据中包含的使用序列对参考信号进行处理后得到的符号，按照指定方式对所述第四数据中包含的使用序列对数据符号进行处理后得到的符号进行差分编码生成所述第一数据；
    其中，所述指定方式包括以下至少之一：频域差分编码；时域差分编码；时频域差分编码；分段差分编码。
  11. 根据权利要求1所述的方法，其中，在生成第一数据之后，所述方法还包括：将所述第一数据在指定时频资源上形成发射信号，用于发送；其中，所述指定时频资源通过以下方式至少之一获取：随机选择，按照第三预设规则确定，根据系统配置信息确定。
  12. 一种数据处理方法，包括：
    获取第六数据，其中，获取所述第六数据包括以下方式之一：
    使用序列对第七数据进行检测得到第八数据，对所述第八数据进行差分检测获取所述第六数据；对所述第七数据进行差分检测得到第九数据，使用序列对所述第九数据进行检测获取所述第六数据；使用序列对所述第七数据进行检测得到第十数据，对所述第十数据进行补偿处理获取所述第六数据。
  13. 根据权利要求12所述的方法，其中，所述第七数据包括以下至少之一：
    接收机各个接收天线接收到的数据；
    对接收机多个接收天线接收到的数据进行处理后得到的数据。
  14. 根据权利要求12所述的方法，其中，所述序列包括以下至少之一：
    第四序列集合中的序列；
    按照第四预设规则生成的序列；
    根据第五序列集合和所述第七数据从所述第五序列集合中识别出来的序列；
    根据第六序列集合和所述第九数据从所述第六序列集合中识别出来的序列；
    其中，所述序列的长度为L，L为大于1的整数。
  15. 根据权利要求12所述的方法，其中，使用序列对第七数据进行检测包括以下之一：
    使用序列对将所述第七数据进行处理后得到的数据进行检测；
    根据所述第七数据获取相关矩阵，使用序列和相关矩阵对所述第七数据进行检测；
    根据将所述第七数据进行处理后得到的数据获取相关矩阵，使用序列和相关矩阵对 将所述第七数据进行处理后得到的数据进行检测。
  16. 根据权利要求12所述的方法，其中，对所述第八数据进行差分检测获取所述第六数据包括：按照指定方式对所述第八数据进行差分检测获取所述第六数据，其中，所述指定方式包括以下至少之一：频域差分检测；时域差分检测；时频域差分检测；分段差分检测。
  17. 根据权利要求12所述的方法，其中，对所述第七数据进行差分检测得到第九数据包括：按照指定方式对所述第七数据进行差分检测得到第九数据，其中，所述指定方式包括以下至少之一：频域差分检测；时域差分检测；时频域差分检测；分段差分检测。
  18. 根据权利要求12所述的方法，其中，使用序列对所述第九数据进行检测获取所述第六数据包括以下之一：
    使用序列对将所述第九数据进行处理后得到的数据进行检测，获取所述第六数据；
    根据所述第九数据获取相关矩阵，使用序列和相关矩阵对所述第九数据进行检测，获取所述第六数据；
    根据将所述第九数据进行处理后得到的数据获取相关矩阵，使用序列和相关矩阵对将所述第九数据进行处理后得到的数据进行检测，获取所述第六数据。
  19. 根据权利要求12所述的方法，其中，在获取第六数据之后，所述方法还包括：根据所述第六数据获取第十一数据，包括以下至少之一：
    将所述第六数据进行解调和译码获取第十一数据；
    将所述第六数据进行处理后得到的数据进行解调和译码获取第十一数据；
    将满足第一预定条件的所述第六数据进行解调和译码获取第十一数据；
    将满足第二预定条件的所述第六数据进行处理后得到的数据进行解调和译码获取第十一数据；
    将所述第六数据进行处理后得到的且满足第三预定条件的数据进行解调和译码获取第十一数据。
  20. 根据权利要求19所述的方法，其中，在根据所述第六数据获取第十一数据之后，所述方法还包括以下至少之一：
    从所述第十一数据中获取以下信息至少之一：有效内容信息；用户身份识别信息；序列信息；序列集合信息；参考信号的信息；
    对所述第十一数据进行重构获取第十二数据。
  21. 根据权利要求20所述的方法，其中，在对所述第十一数据进行重构获取第十二数据之后，所述方法还包括以下至少之一：
    使用所述第十二数据进行信道估计，获取信道估计结果；
    从接收机接收到的数据中去除所述第十二数据的干扰。
  22. 一种发射机，包括：
    处理器以及存储有所述处理器可执行指令的存储器，当所述指令被处理器执行时， 执行如下操作：
    生成第一数据，其中，生成所述第一数据包括以下之一：对第二数据进行差分编码生成第三数据，使用序列对所述第三数据进行处理生成所述第一数据；使用序列对所述第二数据进行处理生成第四数据，对所述第四数据进行差分编码生成所述第一数据；使用序列对所述第二数据进行处理生成所述第一数据。
  23. 一种接收机，包括：
    处理器以及存储有所述处理器可执行指令的存储器，当所述指令被处理器执行时，执行如下操作：
    获取第六数据，其中，获取所述第六数据包括以下方式之一：
    使用序列对第七数据进行检测得到第八数据，对所述第八数据进行差分检测获取所述第六数据；对所述第七数据进行差分检测得到第九数据，使用序列对所述第九数据进行检测获取所述第六数据；使用序列对所述第七数据进行检测得到第十数据，对所述第十数据进行补偿处理获取所述第六数据。
  24. 一种存储介质，其中，所述存储介质包括存储的程序，其中，所述程序运行时执行权利要求1至21中任一项所述的方法。
  25. 一种处理器，其中，所述处理器用于运行程序，其中，所述程序运行时执行权利要求1至21中任一项所述的方法。
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