CN110266355A - A kind of compressed sensing based communication system, communication means and device - Google Patents
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Abstract
The invention belongs to fields of communication technology, and in particular to a kind of compressed sensing based communication system, communication means and device.The system comprises: transmitter, pre-coding system and receiver;The transmitter includes: band spectrum modulation unit and subcarrier modulation unit;The receiver includes: convolution unit, sampler, clock, sequence generator and decoder;The band spectrum modulation unit carries out band spectrum modulation, generates modulated spread spectrum signal for baseband signal and pseudo-code to be combined;The subcarrier modulation unit, for modulated spread spectrum signal and subcarrier unit to be combined generation modulated signal;Modulated signal is carried out precoding by the pre-coding system, is generated precoded signal, is sent receiver for precoded signal;It realizes that simple, algorithm complexity is low, reduce system power dissipation and device cost.
Description
Technical Field
The invention belongs to the technical field of communication, and particularly relates to a communication system, a communication method and a communication device based on compressed sensing.
Background
Conventional a/D employs shannon-nyquist sampling theory, where the sampling rate is at least equal to twice the signal bandwidth to recover without distortion. The shannon-nyquist sampling theory is a sufficient condition that the signal can be reconstructed, and is not a necessary condition. There is theoretically another sampling method below the nyquist rate by which the original signal can also be reconstructed. Compressed Sensing (CS) is one such revolutionary sampling transformation technique that can recover a signal from samples that are less than shannon-nyquist sampling if the signal can be sparsely represented. Signals in wireless communication can be sparsely represented mostly, for example, ultra-wideband signals can be sparsely represented in the time domain, and frequency hopping signals can be sparsely represented in the frequency domain.
Compressed sensing is used to reconstruct sparsely representable signals so that they are represented at the nyquist rate without distortion. Some applications sometimes only care about the information in the transmitted signal and do not need to reconstruct the original signal. Compressed signal processing is a method of directly processing a compressed signal, which is only concerned with useful information in the signal and not with reconstruction. In distinction to compressed signal recovery, estimation of the signal transmission channel and detection of the signal are of more interest here, which mainly addresses the problem of binary offset carrier modulated signal detection. Compressed sensing has been applied to the acquisition of pseudorandom sequences in spread spectrum systems, with correlation peaks that are sparse in a two-dimensional space composed of code phase and frequency offset. The CS can be used to reduce the sampling frequency of the GPS receiver, but its hardware implementation is more complex.
In navigation satellite systems such as the modern GPS, Galileo, and beidou, a Binary Offset Carrier (BOC) modulation technique is used. Compared with traditional BPSK, BOC modulation adds a subcarrier modulation step before carrier modulation. The subcarriers are square waves based on sine phase or cosine phase, which are respectively denoted as BOCsin (Kn, n) and BOCcos (Kn, n), where K denotes the ratio of the subcarrier frequency to the pseudo code rate and n denotes the ratio of the pseudo code rate to f 0-1.023 MHz. Unlike BPSK signals, which are spectrally distributed at carriers, the BOC signal has its main spectral lobe distributed at carrier frequency ± Knf0, which makes the BOC signal have a wider spectrum, whose bandwidth is usually expressed as twice the sum of the subcarrier frequency and the code rate of the pseudo code.
The large-scale multiple-input multiple-output (MIMO) technology can greatly improve the system capacity and reduce the interference among different users, but because of factors such as high channel dimensionality, complex channel estimation and precoding algorithms and the like in the system, the system software and hardware overhead is increased.
Next generation wireless communication systems are dedicated to achieving data throughput rates above gigabits per second to support high-rate multimedia services. The millimeter wave frequency band (30-300 GHz) still has a large amount of unused frequency spectrum, the available frequency band is wide, and the information capacity is large, so that the method becomes a main means for improving the data rate in the next generation communication system. However, one of the main problems faced by millimeter wave communication is that free space path loss causes large attenuation of the receiving end signal. Furthermore, when the signal passes through rain, fog or an obstacle exists between the two ends of the transceiver, the attenuation is more serious, and even the signal is interrupted. Therefore, the attenuation and loss in the signal transmission process are overcome, and the improvement of the system capacity becomes the main direction of the research of the millimeter wave communication technology.
The large-scale Multiple Input Multiple Output (MIMO) technology is to deploy a large-scale array at the end of a base station, and compared with the traditional MIMO, the MIMO technology can effectively resist the interference between different users, and remarkably improve the capacity of a system. The antenna size of millimeter wave frequency band is very small, which provides possibility for equipping large-scale antenna array. The number of base station antennas can be far larger than the number of users, so the system can obtain high multiplexing gain, diversity gain and array gain. In addition, large-scale MIMO can focus signal energy on narrow beams, and energy efficiency is effectively improved. In a large-scale MIMO system, a precoding technology is a vital signal processing technology in a downlink, a modulated symbol stream is converted into a data stream adaptive to a current channel by using Channel State Information (CSI) of a transmitting end, signal energy is concentrated near a target user, attenuation and loss are effectively resisted, and system performance is improved. Therefore, the research on the precoding technology in the millimeter wave massive MIMO system is significant for promoting the development of the next generation of wireless communication.
Patent No. CN03811359.7 discloses precoding of multipath channels in a MIMO system, which encodes data according to one or more coding schemes to provide coded data, and then modulates (i.e., symbol maps) the coded data according to one or more modulation schemes to provide modulation symbols. An estimated response of the MIMO channel is obtained (e.g., provided by a receiver), and an equivalent channel response is derived based on the estimated MIMO channel response and a response of a feed-forward filter of a decision feedback equalizer. The modulation symbols are then precoded based on the equivalent channel response to provide precoded symbols, which are then further preconditioned based on the estimated MIMO channel response (e.g., using space-time pulse shaping) to provide preconditioned symbols for transmission over the MIMO channel. The feedforward filter is adjusted based on Minimum Mean Square Error (MMSE) criteria. The complexity and applicability of the algorithm are poor.
Patent No. cn201110418089.x discloses a precoding implementation method, device and MIMO system, where the method includes: receiving channel state information sent by a plurality of user equipment; selecting a preset number of user equipment from users available for pairing to perform user pairing of multi-user MIMO; selecting an actual precoding type according to a preset strategy, and carrying out precoding processing on data of a plurality of selected user equipment according to the precoding type to generate a precoding code word of multi-user MIMO; broadcasting the pre-coding code words of the multi-user MIMO and demodulation reference signals corresponding to the pre-coding code words of the multi-user MIMO to a plurality of user equipment with the preset number; the precoding type comprises linear coding and nonlinear coding; the preset policy comprises: and selecting an actual precoding type according to a pre-configured precoding type. The coding form and the coding mode are still original and flexible coding combination is lacked.
Disclosure of Invention
In view of the above, the main objective of the present invention is to provide a communication system, a communication method and a communication apparatus based on compressed sensing, which are simple to implement, have low algorithm complexity, and reduce system power consumption and device cost.
In order to achieve the purpose, the technical scheme of the invention is realized as follows:
a compressed sensing-based communication system, the system comprising: a transmitter, a precoding system and a receiver; the transmitter includes: a spread spectrum modulation unit and a subcarrier modulation unit; the receiver includes: the device comprises a convolution unit, a sampler, a clock, a sequence generator and a decoder; the spread spectrum modulation unit is used for combining the baseband signal and the pseudo code, performing spread spectrum modulation and generating a spread spectrum modulation signal; the subcarrier modulation unit is used for combining the spread spectrum modulation signal with the subcarrier unit to generate a modulation signal; the pre-coding system pre-codes the modulation signal to generate a pre-coded signal and sends the pre-coded signal to a receiver; after the convolution unit of the receiver convolutes the pre-coded signal, a convolution signal is generated, and the convolution signal is sent to the sampler; the sampler samples according to a clock signal generated by the clock, the generated sampling signal is convolved with the sequence generator again, and a result after convolution is sent to the decoder; and the decoder decodes the result to complete the whole transmission process.
Further, the coding system comprises: the signal flow dividing unit is used for dividing the modulation signal to obtain a plurality of paths of divided signals; the digital baseband pre-coder is used for pre-coding each path of shunt signal by a digital baseband and then transmitting the shunt signal after frequency conversion; the digital-to-analog/analog-to-digital converter is used for carrying out signal conversion on the signals after the frequency conversion of the digital baseband precoder; the mixer is used for mixing the signals after the signal conversion; the power amplification unit is used for carrying out power amplification processing on the signals after the frequency mixing processing and then sending the signals; the analog precoder is used for performing analog precoding on the signals sent by the power amplification unit and then sending the signals; and the phase shifter is connected with the transmitting antenna and used for transmitting the signal coded by the analog precoder to the antenna and transmitting the signal through the antenna.
Further, the digital lace precoder includes at least: three successive layer progressive digital sub-coding units are respectively: a first digital encoding unit, a second digital encoding unit and a third digital encoding unit; and, at least one digital coding order adjustment unit; the digital coding sequence adjusting unit is used for adjusting the coding sequence of the three digital sub-coding units and is respectively in signal connection with the first digital coding unit, the second digital coding unit and the third digital coding unit.
Further, the analog precoder comprises at least: at least two analog sub-coding units, which are respectively: a first analog encoding unit and a second analog encoding unit; and the analog coding sequence adjusting unit is used for adjusting the coding sequence of the two analog coding subunits and is respectively connected with the first analog coding unit and the second analog coding unit in a signal mode.
A method of compressed sensing based communication, the method performing the steps of: the spread spectrum modulation unit combines the baseband signal and the pseudo code, performs spread spectrum modulation and generates a spread spectrum modulation signal; a subcarrier modulation unit for combining the spread spectrum modulation signal and the subcarrier unit to generate a modulation signal; the pre-coding system pre-codes the modulation signal to generate a pre-coded signal and sends the pre-coded signal to a receiver; after the convolution unit of the receiver convolutes the pre-coded signal, a convolution signal is generated, and the convolution signal is sent to the sampler; the sampler samples according to the clock signal generated by the clock, the generated sampling signal is convolved with the sequence generator again, and the convolved result is sent to the decoder; and the decoder decodes the result to complete the whole transmission process.
Further, the method for generating the spread spectrum modulation signal by combining the baseband signal and the pseudo code by the spread spectrum modulation unit performs the following steps:
step S1:each symbol in the baseband signal is represented by the following formula: d (t) b (t) c (t) sc (t); wherein,is a continuous-time representation of a data vector;
step S2: the pseudo code is represented by the following formula:
step S3: performing convolution operation on each coincidence and the pseudo code in the baseband signal, wherein the generated result is a spread spectrum modulation signal; wherein b ∈ { ± 1} lx1 is one symbol of transmission, each symbol consisting of L bits of data; defining a pseudorandom sequence vector as C belongs to { + -1 } C multiplied by 1, wherein the vector comprises C chips; the two vectors are b (t) and c (t) discrete expressions; when Tb and Tc represent the data information period and the code width, respectively, LTb ═ CTc is defined, that is, one symbol period contains an integer number of pseudo code periods.
Further, the method for generating a precoded signal by precoding a modulated signal by the precoding system comprises the following steps:
step 1: the signal flow splitting unit is used for splitting the signals to obtain a plurality of paths of split signals;
step 2: the digital baseband pre-coder performs digital baseband pre-coding on each path of shunt signal, and then transmits the shunt signal after frequency conversion;
and step 3: the digital-analog/analog-digital converter performs signal conversion on the signal subjected to frequency conversion by the digital baseband precoder;
and 4, step 4: performing frequency mixing processing on the signal after the signal conversion;
and 5: the mixer performs power amplification processing on the signals after the frequency mixing processing, and then sends the signals;
step 6: the analog coding precoder carries out analog precoding on signals sent by the power amplification unit and then sends the signals;
and 7: the phase shifter transmits the signal coded by the analog precoder to the antenna, and the signal is transmitted through the antenna.
Further, in step 2, the method for performing digital lacing precoding on each split signal includes the following steps:
step 2.1: the digital coding sequence adjusting unit determines the coding sequence of the three digital coding subunits according to a set value;
step 2.2: the three digital coding subunits sequentially code the signals according to a coding sequence, and a digital coding result is generated after the last coding subunit in the sequence codes.
Further, in step 3, the method for performing analog precoding on the signal sent by the power amplifier unit by the analog precoder performs the following steps:
step 6.1: the analog coding sequence adjusting unit determines the coding sequence of the three analog coding subunits according to a set value;
step 6.2: the two analog coding subunits sequentially code the signals according to a coding sequence, and a final coding result is generated after the last coding subunit in the sequence is coded.
Further, in step 2.2, in the method in which three digital coding subunits sequentially code signals according to a coding order, the method for coding the first digital coding unit includes digitally coding the signals by using a coding matrix and a received signal vector, where W is β H, and the corresponding received signal vector is:the method for encoding by the second digital encoding unit comprises the following steps: digitally encoding a signal using an encoding matrix and a signal reception vector, wherein the encoding matrix is a matrix of a plurality of bitsThe matrix is W- β H (HHH + ξ IK) -1, and the signal receiving vector is as follows:the method for coding by the third digital coding unit comprises the following steps of digitally coding a signal by using a coding matrix and a signal receiving vector, wherein the coding matrix is W- β H (HHH) -1, and the signal receiving vector is:wherein, W is a coding matrix, β is a scaling factor used for restricting signal transmission power, H is a channel vector, Q is an orthogonal vector parameter, ξ is a regularization coefficient related to the total transmission power and noise power of a base station, S is an adjustment coefficient, and n is an adjustment parameter.
A compressed sensing-based communication device, the device being a non-transitory computer-readable storage medium storing computing instructions comprising: a code segment for combining the baseband signal and the pseudo code, performing spread spectrum modulation, and generating a spread spectrum modulation signal; a code segment for combining the spread spectrum modulation signal and the subcarrier unit to generate a modulation signal; a code segment for precoding the modulated signal to generate a precoded signal and transmitting the precoded signal; a code segment for generating convolution signals after the pre-coding signals are convoluted and sending the convolution signals; a code segment for sampling according to the clock signal generated by the clock, convolving the generated sampling signal with the sequence generator again, and sending the result after convolution; and decoding the result to complete the code segment of the whole transmission process.
The invention has the beneficial effects that: the subcarrier waveform in the invention is a molding waveform thereof, and the BOC signal is demodulated by adopting compressed signal processing. The demodulation algorithm is different from a random demodulator, the receiving end does not need to multiply with a random sequence, and the realization is simple. The sampling rate required by the BOC signal demodulation scheme based on the compressed signal processing is lower than the Nyquist sampling rate, and the system power consumption and the device cost are favorably reduced. The compressed signal processing can solve the bottleneck of the current signal processing, namely higher and higher sampling frequency, storage processing and analysis of a large amount of data. It is envisioned that compressed signal processing has a wide range of applications, and is naturally attractive, particularly for high bandwidth spread spectrum signals.
Drawings
FIG. 1 is a system architecture diagram of a compressed sensing-based communication system according to the present invention;
fig. 2 is a schematic method flow diagram of the compressed sensing-based communication method of the present invention.
Detailed Description
The method of the present invention will be described in further detail below with reference to the accompanying drawings and embodiments of the invention.
Example 1
As shown in fig. 1, a compressed sensing-based communication system, the system comprising: a transmitter, a precoding system and a receiver; the transmitter includes: a spread spectrum modulation unit and a subcarrier modulation unit; the receiver includes: the device comprises a convolution unit, a sampler, a clock, a sequence generator and a decoder; the spread spectrum modulation unit is used for combining the baseband signal and the pseudo code, performing spread spectrum modulation and generating a spread spectrum modulation signal; the subcarrier modulation unit is used for combining the spread spectrum modulation signal with the subcarrier unit to generate a modulation signal; the pre-coding system pre-codes the modulation signal to generate a pre-coded signal and sends the pre-coded signal to a receiver; after the convolution unit of the receiver convolutes the pre-coded signal, a convolution signal is generated, and the convolution signal is sent to the sampler; the sampler samples according to the clock signal generated by the clock, the generated sampling signal is convolved with the sequence generator again, and the convolved result is sent to the decoder; and the decoder decodes the result to complete the whole transmission process.
Specifically, the sampling rate of A/D and the system power consumption can be reduced by adopting the method, and the hardware structure is simpler than other schemes. Simulation experiments show that the compressed sensing can be successfully applied to the BOC signal receiver. The performance of a compressed signal processing BOC receiver is slightly lower than that of a conventional receiver due to noise folding, which has the advantage of reducing the complexity of implementation. Considering the quantization of the signal, noise folding has a much smaller impact on the performance of the receiver.
Example 2
On the basis of the above embodiment, the coding system comprises: the signal flow dividing unit is used for dividing the modulation signal to obtain a plurality of paths of divided signals; the digital baseband pre-coder is used for performing digital baseband pre-coding on each path of shunt signal, and then transmitting the shunt signal after frequency conversion; the digital-to-analog/analog-to-digital converter is used for carrying out signal conversion on the signals after the frequency conversion of the digital baseband precoder; the mixer is used for mixing the signals after the signal conversion; the power amplification unit is used for carrying out power amplification processing on the signals after the frequency mixing processing and then sending the signals; the analog precoder is used for performing analog precoding on the signals sent by the power amplification unit and then sending the signals; and the phase shifter is connected with the transmitting antenna and used for transmitting the signal coded by the analog pre-coder to the antenna and transmitting the signal through the antenna.
Specifically, a general measurement system can be described by the following formula: y ═ ω x;
where x is an N × 1-dimensional measured vector, Φ denotes an M × N-dimensional measurement matrix, and an M × 1-dimensional vector y is a measurement value. The observed value of each row vector pair x in the measurement matrix constitutes an element in the measurement value vector y. The measurement can be described simply as finding the unknown value x from the measured value y and the measurement matrix Φ.
Currently, conventional sampling techniques are based on the shannon-nyquist sampling theory. For the shannon-nyquist measuring system, in equation (1), M is N, and is an identity matrix of N × N dimensions. The shannon-nyquist sampling theory reveals the condition that such a measuring system can recover the measured value without distortion.
When M > N in equation (1), that is, the number of measured values obtained is larger than the unknown number of measured values, the measured values can be uniquely solved similarly to when M ═ N.
Consider the case where M < N in equation (1) below. If no condition is added, the equation has an infinite number of solutions and cannot uniquely identify the measured value. However, if the measured signal x is sparse, the measured signal can be algorithmically reconstructed, i.e. the compressed sensing.
Example 3
On the basis of the above embodiment, the digital precoder comprises at least: three successive digital sub-coding units are respectively: a first digital encoding unit, a second digital encoding unit and a third digital encoding unit; and, at least one digital coding order adjustment unit; the digital coding sequence adjusting unit is used for adjusting the coding sequence of the three digital sub-coding units and is respectively in signal connection with the first digital coding unit, the second digital coding unit and the third digital coding unit.
Example 4
On the basis of the above embodiment, the analog precoder includes at least: at least two analog sub-coding units, which are respectively: a first analog encoding unit and a second analog encoding unit; and the analog coding sequence adjusting unit is used for adjusting the coding sequence of the two analog coding subunits and is respectively connected with the first analog coding unit and the second analog coding unit in a signal mode.
Example 5
A method of compressed sensing based communication, the method performing the steps of: the spread spectrum modulation unit combines the baseband signal and the pseudo code, performs spread spectrum modulation and generates a spread spectrum modulation signal; a subcarrier modulation unit for combining the spread spectrum modulation signal and the subcarrier unit to generate a modulation signal; the pre-coding system pre-codes the modulation signal to generate a pre-coded signal and sends the pre-coded signal to a receiver; after the convolution unit of the receiver convolutes the pre-coded signal, a convolution signal is generated, and the convolution signal is sent to the sampler; the sampler samples according to the clock signal generated by the clock, the generated sampling signal is convolved with the sequence generator again, and the convolved result is sent to the decoder; and the decoder decodes the result to complete the whole transmission process.
Example 6
On the basis of the above embodiment, the method for generating the spread spectrum modulation signal by the spread spectrum modulation unit combining the baseband signal and the pseudo code to perform spread spectrum modulation includes the following steps:
step S1: each symbol in the baseband signal is represented by the following formula: d (t) b (t) c (t) sc (t); wherein,is a continuous-time representation of a data vector;
step S2: the pseudo code is represented by the following formula:
step S3: performing convolution operation on each coincidence and the pseudo code in the baseband signal, wherein the generated result is a spread spectrum modulation signal; wherein b ∈ { ± 1} lx1 is one symbol of transmission, each symbol consisting of L bits of data; defining a pseudorandom sequence vector as C belongs to { + -1 } C multiplied by 1, wherein the vector comprises C chips; the two vectors are b (t) and c (t) discrete expressions; when Tb and Tc represent the data information period and the code width, respectively, LTb ═ CTc is defined, that is, one symbol period contains an integer number of pseudo code periods.
Example 7
On the basis of the previous embodiment, the method for generating the precoded signal by precoding the modulated signal by the precoding system comprises the following steps:
step 1: the signal flow splitting unit is used for splitting the signals to obtain a plurality of paths of split signals;
step 2: the digital baseband pre-coder performs digital baseband pre-coding on each path of shunt signal, and then transmits the shunt signal after frequency conversion;
and step 3: the digital-analog/analog-digital converter performs signal conversion on the signal subjected to frequency conversion by the digital baseband precoder;
and 4, step 4: performing frequency mixing processing on the signal after the signal conversion;
and 5: the mixer performs power amplification processing on the signals after the frequency mixing processing, and then sends the signals;
step 6: the analog coding precoder carries out analog precoding on signals sent by the power amplification unit and then sends the signals;
and 7: the phase shifter transmits the signal coded by the analog precoder to the antenna, and the signal is transmitted through the antenna.
Specifically, analog precoding is to process the input symbol stream after digital-to-analog conversion. The scheme can connect a plurality of antennas to one RF chain at the same time, is very suitable for the condition that a large number of antennas of a large-scale MIMO system exist, can obviously reduce the hardware cost of the system and has lower calculation complexity. Analog precoding can be classified into 2 types according to the devices used: class 1 is a phase shift-based scheme, which controls the phase of each antenna transmission signal with a low-cost phase shifter; category 2 is an antenna selection based scheme that activates some of the antennas that need to operate with a lower cost RF switch.
Example 8
On the basis of the previous embodiment, in step 2, the method for performing digital subband precoding on each split signal performs the following steps:
step 2.1: the digital coding sequence adjusting unit determines the coding sequence of the three digital coding subunits according to a set value;
step 2.2: the three digital coding subunits sequentially code the signals according to a coding sequence, and a digital coding result is generated after the last coding subunit in the sequence codes.
On the basis of the previous embodiment, in step 3, the method for performing analog precoding on the signal sent by the power amplifier unit by the analog precoder includes the following steps:
step 6.1: the analog coding sequence adjusting unit determines the coding sequence of the three analog coding subunits according to a set value;
step 6.2: the two analog coding subunits sequentially code the signals according to a coding sequence, and a final coding result is generated after the last coding subunit in the sequence is coded.
Specifically, the digital precoding scheme can achieve good system performance, but needs to configure an RF chain for each transmit antenna, which is expensive. Analog precoding is economically more popular than digital precoding, but each coefficient in the analog precoding matrix has a constant modulus, lacks amplitude control, and has poorer performance than digital precoding. The hybrid digital/analog precoding technique combines the advantages of 2 schemes to reduce the number of RF chains while supporting amplitude and phase adjustments.
The commonly used 2 kinds of mixed precoding transmitting end structures are complex structures, each RF chain is connected with all antennas through a phase shifter, and each antenna array element outputs linear combination of all radio frequency signals; the low complexity structure, the antenna array is divided into N sub-arrays, and each RF chain is respectively connected with the sub-array, thereby reducing the complexity of the system. The baseband transmission data stream is acted by a digital precoder to form N output streams, and is up-converted to an RF chain, and then is mapped to M antennas by an analog precoder to be sent out. The RF chain is composed of a digital-to-analog converter (DAC)/analog-to-digital converter (ADC), a mixer and a power amplifier.
Example 9
On the basis of the previous embodiment, in the step 2.2, in the method in which three digital coding subunits sequentially code signals according to a coding order, the method for coding the first digital coding unit includes digitally coding the signals by using a coding matrix and a received signal vector, where W is β H, and the corresponding received signal vector is:the method for encoding by the second digital encoding unit comprises the following steps of digitally encoding a signal by using an encoding matrix and a signal receiving vector, wherein the encoding matrix is W- β H (HHH + ξ IK) -1, and the signal receiving vector is:the method for coding by the third digital coding unit comprises the following steps of digitally coding a signal by using a coding matrix and a signal receiving vector, wherein the coding matrix is W- β H (HHH) -1, and the signal receiving vector is:wherein, W is a coding matrix, β is a scaling factor used for restricting signal transmission power, H is a channel vector, Q is an orthogonal vector parameter, ξ is a regularization coefficient related to the total transmission power and noise power of a base station, S is an adjustment coefficient, and n is an adjustment parameter.
Example 10
A compressed sensing-based communication device, the device being a non-transitory computer-readable storage medium storing computing instructions comprising: a code segment for combining the baseband signal and the pseudo code, performing spread spectrum modulation, and generating a spread spectrum modulation signal; a code segment for combining the spread spectrum modulation signal and the subcarrier unit to generate a modulation signal; a code segment for precoding the modulated signal to generate a precoded signal and transmitting the precoded signal; a code segment for generating convolution signals after the pre-coding signals are convoluted and sending the convolution signals; a code segment for sampling according to the clock signal generated by the clock, convolving the generated sampling signal with the sequence generator again, and sending the result after convolution; and decoding the result to complete the code segment of the whole transmission process.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working process and related description of the system described above may refer to the corresponding process in the foregoing method embodiments, and will not be described herein again.
It should be noted that, the system provided in the foregoing embodiment is only illustrated by dividing the functional modules, and in practical applications, the functions may be allocated to different functional modules according to needs, that is, the modules or steps in the embodiment of the present invention are further decomposed or combined, for example, the modules in the foregoing embodiment may be combined into one module, or may be further decomposed into multiple sub-modules, so as to complete all or part of the functions described above. The names of the modules and steps involved in the embodiments of the present invention are only for distinguishing the modules or steps, and are not to be construed as unduly limiting the present invention.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes and related descriptions of the storage device and the processing device described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
Those of skill in the art would appreciate that the various illustrative modules, method steps, and modules described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that programs corresponding to the software modules, method steps may be located in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable disk, CD-ROM, or any other form of storage medium known in the art. To clearly illustrate this interchangeability of electronic hardware and software, various illustrative components and steps have been described above generally in terms of their functionality. Whether these functions are performed as electronic hardware or software depends upon the particular application and design constraints imposed on the technical solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The terms "first," "second," and the like are used for distinguishing between similar elements and not necessarily for describing or implying a particular order or sequence.
The terms "comprises," "comprising," or any other similar term are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
So far, the technical solutions of the present invention have been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of the present invention is obviously not limited to these specific embodiments. Equivalent changes or substitutions of related technical features can be made by those skilled in the art without departing from the principle of the invention, and the technical scheme after the changes or substitutions can fall into the protection scope of the invention.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention.
Claims (10)
1. A compressed sensing-based communication system, the system comprising: a transmitter, a precoding system and a receiver; the transmitter includes: a spread spectrum modulation unit and a subcarrier modulation unit; the receiver includes: the device comprises a convolution unit, a sampler, a clock, a sequence generator and a decoder; the spread spectrum modulation unit is used for combining the baseband signal and the pseudo code, performing spread spectrum modulation and generating a spread spectrum modulation signal; the subcarrier modulation unit is used for combining the spread spectrum modulation signal with the subcarrier unit to generate a modulation signal; the pre-coding system pre-codes the modulation signal to generate a pre-coded signal and sends the pre-coded signal to a receiver; after the convolution unit of the receiver convolutes the pre-coded signal, a convolution signal is generated, and the convolution signal is sent to the sampler; the sampler samples according to the clock signal generated by the clock, the generated sampling signal is convolved with the sequence generator again, and the convolved result is sent to the decoder; and the decoder decodes the result to complete the whole transmission process.
2. The system of claim 1, wherein the decoding system comprises: the signal flow dividing unit is used for dividing the modulation signal to obtain a plurality of paths of divided signals; the digital baseband pre-coder is used for performing digital baseband pre-coding on each path of shunt signal, and then transmitting the shunt signal after frequency conversion; the digital-to-analog/analog-to-digital converter is used for carrying out signal conversion on the signals after the frequency conversion of the digital baseband precoder; the mixer is used for mixing the signals after the signal conversion; the power amplification unit is used for carrying out power amplification processing on the signals after the frequency mixing processing and then sending the signals; the analog precoder is used for performing analog precoding on the signals sent by the power amplification unit and then sending the signals; and the phase shifter is connected with the transmitting antenna and used for transmitting the signal coded by the analog precoder to the antenna and transmitting the signal through the antenna.
3. The system of claim 2, wherein the digital lace precoder comprises at least: three successive layer progressive digital sub-coding units are respectively: a first digital encoding unit, a second digital encoding unit and a third digital encoding unit; and, at least one digital coding order adjustment unit; the digital coding sequence adjusting unit is used for adjusting the coding sequence of the three digital sub-coding units and is respectively in signal connection with the first digital coding unit, the second digital coding unit and the third digital coding unit.
4. The system of claim 2, wherein the analog precoder comprises at least: at least two analog sub-coding units, which are respectively: a first analog encoding unit and a second analog encoding unit; and the analog coding sequence adjusting unit is used for adjusting the coding sequence of the two analog coding subunits and is respectively connected with the first analog coding unit and the second analog coding unit in a signal mode.
5. A compressed sensing-based communication method based on the system of one of claims 1 to 4, characterized in that the method performs the following steps: the spread spectrum modulation unit combines the baseband signal and the pseudo code, performs spread spectrum modulation and generates a spread spectrum modulation signal; a subcarrier modulation unit for combining the spread spectrum modulation signal and the subcarrier unit to generate a modulation signal; the pre-coding system pre-codes the modulation signal to generate a pre-coded signal and sends the pre-coded signal to a receiver; after the convolution unit of the receiver convolutes the pre-coded signal, a convolution signal is generated, and the convolution signal is sent to the sampler; the sampler samples according to the clock signal generated by the clock, the generated sampling signal is convolved with the sequence generator again, and the convolved result is sent to the decoder; and the decoder decodes the result to complete the whole transmission process.
6. The method according to claim 5, wherein the spread spectrum modulation unit combines a baseband signal and a pseudo code to perform spread spectrum modulation, and the method of generating the spread spectrum modulated signal performs the steps of:
step S1: each symbol in the baseband signal is represented by the following formula: d (t) b (t) c (t) sc (t); wherein,is a continuous-time representation of a data vector;
step S2: the pseudo code is represented by the following formula:
step S3: performing convolution operation on each coincidence and the pseudo code in the baseband signal, wherein the generated result is a spread spectrum modulation signal; wherein b ∈ { ± 1} lx1 is one symbol of transmission, each symbol consisting of L bits of data; defining a pseudorandom sequence vector as C belongs to { + -1 } C multiplied by 1, wherein the vector comprises C chips; the two vectors are b (t) and c (t) discrete expressions; when Tb and Tc represent the data information period and the code width, respectively, LTb ═ CTc is defined, that is, one symbol period contains an integer number of pseudo code periods.
7. The method of claim 6, wherein the precoding system precodes the modulated signal, the method of generating the precoded signal performing the steps of:
step 1: the signal flow splitting unit is used for splitting the signals to obtain a plurality of split signals;
step 2: the digital baseband pre-coder performs digital baseband pre-coding on each path of shunt signal, and then performs frequency conversion and then transmits the shunt signal;
and step 3: the digital-analog/analog-digital converter performs signal conversion on the signal subjected to frequency conversion by the digital baseband precoder;
and 4, step 4: performing frequency mixing processing on the signal after the signal conversion;
and 5: the mixer performs power amplification processing on the signals after the frequency mixing processing, and then sends the signals;
step 6: the analog coding precoder carries out analog precoding on signals sent by the power amplification unit and then sends the signals;
and 7: and the phase shifter transmits the signal coded by the analog precoder to an antenna and transmits the signal through the antenna.
8. The method of claim 6, wherein in step 2, the method for digitally freightly precoding each split signal comprises the steps of:
step 2.1: the digital coding sequence adjusting unit determines the coding sequence of the three digital coding subunits according to a set value;
step 2.2: the three digital coding subunits sequentially code the signals according to a coding sequence, and a digital coding result is generated after the last coding subunit in the sequence codes.
Further, in step 3, the method for performing analog precoding on the signal sent by the power amplifier unit by the analog precoder performs the following steps:
step 6.1: the analog coding sequence adjusting unit determines the coding sequence of the three analog coding subunits according to a set value;
step 6.2: the two analog coding subunits sequentially code the signals according to a coding sequence, and a final coding result is generated after the last coding subunit in the sequence is coded.
9. The method of claim 6, wherein in the step 2.2, in the method in which three digital coding subunits sequentially code signals in coding order, the method for coding the first digital coding unit comprises digitally coding signals by using a coding matrix and a received signal vector, wherein the coding matrix is W- β H, and the corresponding received signal vector is:the method for encoding by the second digital encoding unit comprises the following steps of digitally encoding a signal by using an encoding matrix and a signal receiving vector, wherein the encoding matrix is W- β H (HHH + ξ IK) -1, and the signal receiving vector is:the method for encoding by the third digital encoding unit comprises the following steps: digital encoding of signals using coding matrices and signal reception vectorsThe code, wherein the coding matrix is W- β H (HHH) -1, and the signal receiving vector is:wherein, W is a coding matrix, β is a scaling factor used for restricting signal transmission power, H is a channel vector, Q is an orthogonal vector parameter, ξ is a regularization coefficient related to the total transmission power and noise power of a base station, S is an adjustment coefficient, and n is an adjustment parameter.
10. A compressed sensing-based communication device based on the method of any one of claims 5 to 9, wherein the device is a non-transitory computer-readable storage medium storing computing instructions, comprising: a code segment for combining the baseband signal and the pseudo code, performing spread spectrum modulation, and generating a spread spectrum modulation signal; a code segment for combining the spread spectrum modulation signal and the subcarrier unit to generate a modulation signal; a code segment for precoding the modulated signal to generate a precoded signal and transmitting the precoded signal; a code segment for generating a convolution signal after convolving the pre-coded signal and transmitting the convolution signal; a code segment for sampling according to the clock signal generated by the clock, convolving the generated sampling signal with the sequence generator again, and sending the result after convolution; and decoding the result to complete the code segment of the whole transmission process.
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110601735A (en) * | 2019-09-16 | 2019-12-20 | 湖南华青智能科技有限公司 | MIMO precoding system, method and device for 5G communication network |
CN111551208A (en) * | 2020-05-14 | 2020-08-18 | 魏磊 | Multi-sensing sensor, sensor network and sensing method applied to Internet of things |
CN114268345A (en) * | 2021-12-30 | 2022-04-01 | 中国人民解放军陆军工程大学 | Communication method and system based on differential frequency hopping |
Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101291159A (en) * | 2008-06-17 | 2008-10-22 | 清华大学 | Sending terminal, receiving terminal directly realizing spread-spectrum ultra-wideband and method thereof |
US7834795B1 (en) * | 2009-05-28 | 2010-11-16 | Bae Systems Information And Electronic Systems Integration Inc. | Compressive sensor array system and method |
CN103763232A (en) * | 2014-02-18 | 2014-04-30 | 深圳市金频科技有限公司 | Wavelet multi-carrier spread spectrum communication system and method with frequency changing |
CN103888403A (en) * | 2014-04-03 | 2014-06-25 | 深圳市金频科技有限公司 | High-speed wavelet multi-carrier spread-spectrum communication system and method suitable for 5G network |
US20160191126A1 (en) * | 2014-12-24 | 2016-06-30 | Collision Communications, Inc. | Method And System For Compressed Sensing Joint Channel Estimation In An LTE Cellular Communications Network |
CN106031068A (en) * | 2014-04-02 | 2016-10-12 | 华为技术有限公司 | Beamforming-based communication method and apparatus |
CN108886826A (en) * | 2016-04-11 | 2018-11-23 | 梁平 | Mixed-beam manufacturing process for wireless multi-antenna and frequency division duplex system |
CN109613570A (en) * | 2018-12-11 | 2019-04-12 | 中国电子科技集团公司第五十四研究所 | A kind of general BPSK/QPSK/BOC navigation signal tracking |
CN109861731A (en) * | 2019-01-23 | 2019-06-07 | 北京理工大学 | A kind of mixing precoder and its design method |
-
2019
- 2019-06-20 CN CN201910538062.0A patent/CN110266355A/en not_active Withdrawn
Patent Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101291159A (en) * | 2008-06-17 | 2008-10-22 | 清华大学 | Sending terminal, receiving terminal directly realizing spread-spectrum ultra-wideband and method thereof |
US7834795B1 (en) * | 2009-05-28 | 2010-11-16 | Bae Systems Information And Electronic Systems Integration Inc. | Compressive sensor array system and method |
CN103763232A (en) * | 2014-02-18 | 2014-04-30 | 深圳市金频科技有限公司 | Wavelet multi-carrier spread spectrum communication system and method with frequency changing |
CN106031068A (en) * | 2014-04-02 | 2016-10-12 | 华为技术有限公司 | Beamforming-based communication method and apparatus |
CN103888403A (en) * | 2014-04-03 | 2014-06-25 | 深圳市金频科技有限公司 | High-speed wavelet multi-carrier spread-spectrum communication system and method suitable for 5G network |
US20160191126A1 (en) * | 2014-12-24 | 2016-06-30 | Collision Communications, Inc. | Method And System For Compressed Sensing Joint Channel Estimation In An LTE Cellular Communications Network |
CN108886826A (en) * | 2016-04-11 | 2018-11-23 | 梁平 | Mixed-beam manufacturing process for wireless multi-antenna and frequency division duplex system |
CN109613570A (en) * | 2018-12-11 | 2019-04-12 | 中国电子科技集团公司第五十四研究所 | A kind of general BPSK/QPSK/BOC navigation signal tracking |
CN109861731A (en) * | 2019-01-23 | 2019-06-07 | 北京理工大学 | A kind of mixing precoder and its design method |
Non-Patent Citations (1)
Title |
---|
张颜: ""基于BOC调制的GNSS信号捕获技术研究"", 《中国优秀硕士学位论文全文数据库 信息科技辑》 * |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110601735A (en) * | 2019-09-16 | 2019-12-20 | 湖南华青智能科技有限公司 | MIMO precoding system, method and device for 5G communication network |
CN111551208A (en) * | 2020-05-14 | 2020-08-18 | 魏磊 | Multi-sensing sensor, sensor network and sensing method applied to Internet of things |
CN114268345A (en) * | 2021-12-30 | 2022-04-01 | 中国人民解放军陆军工程大学 | Communication method and system based on differential frequency hopping |
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