WO2015135295A1 - 一种干扰环境下随机接入信号的检测方法、装置和系统 - Google Patents

一种干扰环境下随机接入信号的检测方法、装置和系统 Download PDF

Info

Publication number
WO2015135295A1
WO2015135295A1 PCT/CN2014/085073 CN2014085073W WO2015135295A1 WO 2015135295 A1 WO2015135295 A1 WO 2015135295A1 CN 2014085073 W CN2014085073 W CN 2014085073W WO 2015135295 A1 WO2015135295 A1 WO 2015135295A1
Authority
WO
WIPO (PCT)
Prior art keywords
frequency domain
random access
access signal
interference cancellation
sequence
Prior art date
Application number
PCT/CN2014/085073
Other languages
English (en)
French (fr)
Inventor
王雯芳
王绍鹏
秦洪峰
Original Assignee
中兴通讯股份有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 中兴通讯股份有限公司 filed Critical 中兴通讯股份有限公司
Priority to EP14885780.8A priority Critical patent/EP3104657B1/en
Priority to US15/123,682 priority patent/US20170019929A1/en
Publication of WO2015135295A1 publication Critical patent/WO2015135295A1/zh

Links

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W74/00—Wireless channel access
    • H04W74/08—Non-scheduled access, e.g. ALOHA
    • H04W74/0833—Random access procedures, e.g. with 4-step access
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W74/00—Wireless channel access
    • H04W74/08—Non-scheduled access, e.g. ALOHA
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B1/00—Details of transmission systems, not covered by a single one of groups H04B3/00 - H04B13/00; Details of transmission systems not characterised by the medium used for transmission
    • H04B1/06—Receivers
    • H04B1/10—Means associated with receiver for limiting or suppressing noise or interference
    • H04B1/1027—Means associated with receiver for limiting or suppressing noise or interference assessing signal quality or detecting noise/interference for the received signal
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04J—MULTIPLEX COMMUNICATION
    • H04J11/00—Orthogonal multiplex systems, e.g. using WALSH codes
    • H04J11/0023—Interference mitigation or co-ordination
    • H04J11/005—Interference mitigation or co-ordination of intercell interference
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L27/00—Modulated-carrier systems
    • H04L27/26—Systems using multi-frequency codes
    • H04L27/2601—Multicarrier modulation systems
    • H04L27/2647—Arrangements specific to the receiver only
    • H04L27/2655—Synchronisation arrangements
    • H04L27/2662—Symbol synchronisation
    • H04L27/2663—Coarse synchronisation, e.g. by correlation
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L27/00—Modulated-carrier systems
    • H04L27/26—Systems using multi-frequency codes
    • H04L27/2601—Multicarrier modulation systems
    • H04L27/2647—Arrangements specific to the receiver only
    • H04L27/2655—Synchronisation arrangements
    • H04L27/2668—Details of algorithms
    • H04L27/2669—Details of algorithms characterised by the domain of operation
    • H04L27/2672—Frequency domain
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L27/00—Modulated-carrier systems
    • H04L27/26—Systems using multi-frequency codes
    • H04L27/2601—Multicarrier modulation systems
    • H04L27/2647—Arrangements specific to the receiver only
    • H04L27/2655—Synchronisation arrangements
    • H04L27/2668—Details of algorithms
    • H04L27/2673—Details of algorithms characterised by synchronisation parameters
    • H04L27/2675—Pilot or known symbols
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L27/00—Modulated-carrier systems
    • H04L27/26—Systems using multi-frequency codes
    • H04L27/2601—Multicarrier modulation systems
    • H04L27/2647—Arrangements specific to the receiver only
    • H04L27/2655—Synchronisation arrangements
    • H04L27/2668—Details of algorithms
    • H04L27/2681—Details of algorithms characterised by constraints
    • H04L27/2688—Resistance to perturbation, e.g. noise, interference or fading
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L27/00—Modulated-carrier systems
    • H04L27/26—Systems using multi-frequency codes
    • H04L27/2601—Multicarrier modulation systems
    • H04L27/2647—Arrangements specific to the receiver only
    • H04L27/2655—Synchronisation arrangements
    • H04L27/2689—Link with other circuits, i.e. special connections between synchronisation arrangements and other circuits for achieving synchronisation
    • H04L27/2691—Link with other circuits, i.e. special connections between synchronisation arrangements and other circuits for achieving synchronisation involving interference determination or cancellation
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W74/00—Wireless channel access
    • H04W74/002—Transmission of channel access control information
    • H04W74/004—Transmission of channel access control information in the uplink, i.e. towards network

Definitions

  • the present invention relates to the field of mobile communication technologies, and in particular, to a method, device and system for detecting a random access signal in an interference environment.
  • the mobile terminal After the mobile terminal is powered on, downlink synchronization is first performed through the SCH (synchronization channel, synchronization channel), and the radio frame, the reception start point of the subframe, and the cell ID (Cell ID) are determined; Detecting BCH (Broadcast Channel) to obtain system information, the system information includes configuration information of a random access channel (RACH); and finally performing uplink synchronization by using a random access signal transmitted by the RACH to complete access to the system jobs.
  • SCH synchronization channel, synchronization channel
  • Cell ID cell ID
  • Detecting BCH Broadcast Channel
  • RACH random access channel
  • the location of the RACH is found based on the radio frame and the reception start point of the subframe determined in the following line synchronization, and the starting point of transmitting the uplink random access preamble is determined, and then randomly from the available sequence.
  • the base station detects the uplink random access preamble to determine the timing adjustment amount of the uplink synchronization, and sends the timing adjustment amount to the mobile terminal, and the mobile terminal adjusts the transmission time of the uplink signal according to the timing adjustment amount, so as to implement time synchronization of the uplink channel. .
  • the uplink random access preamble in the LTE system is generated by one or more ZC (Zadoff-Chu) root sequences.
  • Each cell (Cell) has 64 sequences for generating an uplink random access preamble, and the 64 sequences may be different cyclic shift sequences from the same root sequence, or may be cyclic shifts from different root sequences. sequence.
  • the ZC root sequence is a constant amplitude zero autocorrelation sequence ⁇ ' J ( Constant Amplitude zero Auto-correlation Code (CAZAC), whose correlation has the following characteristics:
  • the correlation between different cyclic sequences of the same root sequence is 0;
  • the correlation between different root sequences (including their cyclic shift sequences) is 1 /, / ⁇ , that is, the correlation between the uplink random access preamble of the random access signal and the sequence that does not generate the access preamble is very small, which can be regarded as approximately equal to zero, and the uplink random access of the random access signal
  • the leader has the greatest correlation with the sequence that produced the leader.
  • the random access preamble sent by the terminal can be determined by using the uplink random access preamble of the random access signal and the correlation of all sequences to detect the random access preamble sent by the terminal, thereby obtaining the uplink timing adjustment amount. , to achieve time synchronization of the uplink channel.
  • Correlated random access signal detection method when there is large neighboring area interference, the signal peak will be submerged in interference and noise, leading to missed detection; at the same time, due to the influence of interference, the wrong peak is detected, resulting in false check .
  • the large signal interferes with the small signal in the local area, which increases the possibility of missed detection of the large signal.
  • Some existing methods for serial interference cancellation first subtract the reconstructed interference signal from the received random access signal, and then perform detection. Each time a useful signal is detected, it is received from the received random access signal. Subtract the reconstructed useful signal and continue the test. This method first needs to know the interference signal, and the requirements for the system are relatively high.
  • the detection method of the random access signal does not consider the influence of interference, and there is a problem of high missed detection or false detection index in the environment with neighboring area interference signals, and the system requirements are relatively high. , occupying a large amount of resources, difficult to implement and apply.
  • the present invention discloses a method, a device and a system for detecting a random access signal in an interference environment, which are used to eliminate the deterioration of the missed detection performance and the false alarm performance caused by the interference.
  • the present invention discloses a method for detecting a random access signal in an interference environment, the method comprising: Receiving a time domain random access signal, acquiring a frequency domain random access signal; acquiring the interference cancellation weight according to the frequency domain random access signal and the frequency domain local cyclic shift sequence, and using the obtained interference cancellation weight value pair Performing interference cancellation on the frequency domain random access signal; performing peak detection on the frequency domain random access signal after the interference cancellation.
  • the present invention discloses a detecting apparatus for a random access signal in an interference environment, the apparatus comprising:
  • the acquiring module is configured to: receive a time domain random access signal, and obtain a frequency domain random access signal; and the interference cancellation module is configured to: obtain interference cancellation according to the frequency domain random access signal and the frequency domain local cyclic shift sequence Weighting, performing interference cancellation on the frequency domain random access signal according to the obtained interference cancellation weight;
  • the detecting module is configured to: perform peak detection on the frequency domain random access signal after the interference cancellation.
  • the method, device and system for detecting a random access signal in an interference environment disclosed in the embodiment of the present invention are configured to receive a time domain random access signal and obtain a frequency domain random access signal; according to the frequency domain random access signal and frequency a domain local cyclic shift sequence, performing interference cancellation on the frequency domain random access signal; performing peak detection on the frequency domain random access signal after the interference cancellation.
  • the method, device and system disclosed in the embodiments of the present invention can eliminate the deterioration of the missed detection performance and the false alarm performance caused by the interference of the random access signal detection, improve the accuracy of the detection, and save resources.
  • FIG. 1 is a schematic flowchart of a method for detecting a random access signal in an interference environment according to an embodiment of the present invention
  • FIG. 2 is a schematic flowchart of a method for detecting power combining a peak detection sequence of a repeated format according to an embodiment of the present invention
  • FIG. 3 is a schematic flowchart of a method for detecting sequence validity of all frequency domain cyclic shift sequences according to an embodiment of the present invention
  • FIG. 5 is a schematic diagram of a device for detecting a random access signal in an interference environment according to an embodiment of the present invention
  • FIG. 6 is a schematic structural diagram of a detecting device when performing a down sample according to an embodiment of the present invention
  • FIG. 7 is a schematic diagram of an apparatus for performing power combining on a peak detection sequence of a repeated format according to an embodiment of the present invention.
  • FIG. 8 is a schematic diagram of an apparatus for determining sequence validity of all frequency domain cyclic shift sequences according to an embodiment of the present invention.
  • FIG. 9 is a schematic diagram of a detecting apparatus for grouping and combining all frequency domain cyclic shift sequences according to an embodiment of the present invention.
  • FIG. 10 is a schematic structural diagram of a detection system for a random access signal in an interference environment according to an embodiment of the present invention.
  • Embodiment 1 As shown in FIG. 1 , the present invention provides a method for detecting a random access signal in an interference environment, and the method includes the following steps:
  • Step 101 The base station receives the time domain random access signal, and acquires the frequency domain random access signal.
  • the base station receives the time domain random access signal, and then converts into a frequency domain random access signal.
  • the specific process of forming the frequency domain random access signal may be:
  • the base station transforms the received time domain random access signal by Fast Fourier Transform (FFT) to transform the random access signal from the time domain to the frequency domain.
  • FFT Fast Fourier Transform
  • the received random access signal can also be reduced before the FFT.
  • Step 102 The base station obtains an interference cancellation weight according to the frequency domain random access signal and the frequency domain local cyclic shift sequence, and uses the obtained interference cancellation weight to perform interference cancellation on the frequency domain random access signal. Obtaining interference cancellation weights according to the frequency domain random access signal and all frequency domain local cyclic shift sequences, and then randomly selecting the frequency domain according to the interference cancellation weights The access signals are weighted and combined to obtain a frequency domain random access signal after interference cancellation.
  • M be the number of receiving antennas
  • the dimension of 5 is lxN
  • the dimension of Y is MxN
  • the dimension is lxN.
  • the calculation method of interference cancellation weight is:
  • W R sr R rr (1)
  • s the frequency domain local cyclic shift sequence
  • ⁇ the frequency domain random access signal before interference cancellation
  • ⁇ ⁇ the cross-correlation covariance matrix of the frequency domain random access signal and the frequency domain local cyclic shift sequence
  • R represents the autocorrelation covariance matrix of the frequency domain random access signal
  • the method for weighting and combining the frequency domain random access signals according to the interference cancellation weight is:
  • the frequency domain random access signal after interference cancellation is the interference cancellation weight
  • Y is the frequency domain random access signal before interference cancellation.
  • Step 103 The base station performs peak detection on the frequency domain random access signal after the interference cancellation, where the specific process of the peak detection may be: the frequency domain random access signal after the interference cancellation and the local frequency sequence or the frequency domain local loop in the frequency domain
  • the conjugate point multiplication of the shift sequence, the conjugate point multiplication formula is expressed as 1 ⁇ where i represents the element index number in the vector, and then subjected to inverse fast Fourier transform (IFFT) processing to randomize
  • IFFT inverse fast Fourier transform
  • the input signal is converted from the frequency i or the time domain to the time domain, and the square of the modulo is expressed as ⁇ 2 , where Z 'is a time domain random signal, and finally the peak detection sequence is obtained.
  • a signal larger than the signal detection threshold is a valid signal, that is, a user sends the signal. RACH signal; otherwise, the invalid signal is considered, that is, no user sends the RACH signal.
  • Steps 102 through 103 are repeated until all cyclic shift sequences of all root sequences have been processed.
  • the method provided by the embodiment of the present invention can overcome the shortcomings that the existing serial interference cancellation algorithm requires a known interference signal, and requires multiple reconstructions, and the amount of calculation is too large, thereby eliminating randomization.
  • the detection of missed detection and false alarm performance caused by interference during access signal detection improves the accuracy of detection and saves resources.
  • Embodiment 2 is the following method when the random access signal is a random access signal in a repeated format, and the method includes the following steps as shown in FIG. 2:
  • Step 201 is the same as step 101;
  • Step 202 is the same as step 102;
  • Step 203 Perform power combining and peak detection on the frequency domain random access signal after interference cancellation.
  • the specific process of power combining and peak detection may be: multiplying the frequency domain random access signal after interference cancellation with a conjugate point of a frequency domain local root sequence or a frequency domain cyclic shift sequence, and then performing inverse fast Fourier transform processing.
  • the random access signal is transformed from the frequency domain to the time domain, and then the square is obtained to obtain a peak detection sequence.
  • the two peak detection sequences corresponding to the repetition are first power combined, and then the noise peak estimation is performed on the combined peak detection sequence, and the signal detection threshold is obtained according to the estimated value, and then the search window corresponding to the current frequency domain cyclic shift sequence is obtained.
  • the signal inside is detected and the signal exceeding the detection threshold is filtered.
  • the method of power combining may be equal gain combining, or may be maximum ratio combining. Steps 202 through 203 are repeated until all cyclic shift sequences of all root sequences have been processed.
  • Embodiment 3 is another method for detecting a random access signal in an interference environment. As shown in FIG. 3, the method includes the following steps:
  • Step 301 is the same as step 101; Step 302 is similar to step 102.
  • the difference is that the frequency validity of all frequency domain local cyclic shift sequences is determined before the interference cancellation weight is obtained, and the interference cancellation is obtained only for the frequency domain cyclic shift sequence that is determined to be valid.
  • the weight value is further weighted and combined with the frequency domain random access signal according to the interference cancellation weight, so that the frequency domain random access signal after the interference cancellation is obtained.
  • the specific process of determining the validity of the sequence may be: performing validity judgment according to the characteristics of all frequency domain cyclic shift sequences, or grouping all frequency domain cyclic shift sequences, and performing validity judgment of each component.
  • the characteristics of the ⁇ can be: a square of the modulus, a sum of the squares of the modules, a modulus of the sum, a sum of the moduli, a square of the real part, a modulo of the real part, and a square of the real part. And the value, the sum of the real modulus values, and so on.
  • the method for judging the validity of the sequence may be: when the ratio of the squared value of the cyclic shift sequence of a frequency domain to the square mean of the sum of the cyclic shift sequences of all frequency domains is greater than When a certain threshold is used, the cyclic shift sequence is considered valid, otherwise the cyclic shift sequence is considered invalid.
  • the thresholds described here are set by the tester based on experience.
  • the method for judging the validity of the sequence may also be: when a frequency domain cyclic shift sequence R SY and the modulus square value are combined with all frequency domain cyclic shift sequences R SY
  • the ratio of the squared mean of the modes is greater than a certain threshold, and the ratio of the squared value of the cyclic shift sequence of the frequency domain to the maximum value of the squared values of the cyclic shift sequences of all frequency domains is less than a certain threshold.
  • the cyclic shift sequence is valid, otherwise the cyclic shift sequence is considered invalid.
  • Step 303 is similar to step 103. At this time, the current frequency domain cyclic shift sequence is a frequency domain cyclic shift sequence determined to be valid in step 302.
  • step 302 The processing after the sequence validity judgment in step 302 is repeated to step 303 until all the frequency domain cyclic shift sequences determined to be valid are processed.
  • step 303 Another method for detecting a random access signal in an interference environment according to Embodiment 4 of the present invention, as shown in FIG. 4, the method includes the following steps:
  • Step 401 which is the same as step 101;
  • Step 402 is similar to step 102. The difference is that all the frequency domain local cyclic shift sequences are selected before the interference cancellation weight is obtained, and the interference cancellation weight is obtained for the frequency domain cyclic shift sequence after the packet selection. Then, the interference cancellation weights belonging to the same group are grouped and combined, and then the frequency domain random access signals are weighted and combined according to the combined interference cancellation weights of the packets, thereby obtaining the frequency domain random access signals after interference cancellation.
  • the specific process of group selection may be: equally spaced all frequency domain cyclic shift sequences, such as intervals of 2, 3, etc.; non-equal interval packets, such as all cyclic shift sequences on a root sequence. Divided into 1 group, 2 groups, and so on. Each group selects all or part of the cyclic shift sequence to obtain interference cancellation weights.
  • Each packet selects a cyclic shift sequence to obtain interference cancellation weights.
  • the specific process of group combining may be: summing the interference cancellation weights of the same group.
  • Step 403 Similar to step 103, except that peak detection is performed only on the frequency domain cyclic shift sequence belonging to the same group for each peak detection.
  • step 402 The processing after the packet selection in step 402 is repeated to step 403 until all the frequency domain cyclic shift sequences after the packet selection are processed.
  • the relationship between the frequency domain random access signal and the frequency domain local cyclic shift sequence is used, and the frequency domain is randomly selected.
  • the access signal is used for interference cancellation to improve the missed detection performance and false alarm performance of the random access signal.
  • it can also improve the missed detection performance of small signals in the coexistence of large and small signals in this area, thereby further improving the performance of the system.
  • the method provided by the embodiment of the present invention does not need the neighboring area interference signal feature, and does not need to reconstruct the neighboring area interference signal and the local area interference signal, but The interference cancellation is directly implemented, so the calculation amount is small, the resources are saved, and the system is realized.
  • the embodiment of the present invention further provides a detecting device for a random access signal in an interference environment, and the structure thereof is as shown in FIG. 5, which specifically includes:
  • the obtaining module 501 is configured to receive a time domain random access signal, and obtain a frequency domain random access signal.
  • the interference cancellation module 502 is configured to obtain interference cancellation according to the frequency domain random access signal and the frequency domain local cyclic shift sequence. Weighting, performing interference cancellation on the frequency domain random access signal;
  • the detecting module 503 is configured to perform peak detection on the frequency domain random access signal after the interference cancellation.
  • the interference cancellation module 502 can further include:
  • an autocorrelation acquisition submodule configured to obtain an autocorrelation covariance matrix result of the frequency domain random access signal
  • a cross-correlation acquisition sub-module configured to obtain a cross-correlation covariance matrix result of the frequency domain random access signal and the frequency domain local cyclic shift sequence
  • a weight obtaining sub-module configured to obtain an interference cancellation weight according to an output result of the cross-correlation obtaining sub-module and an output result of the auto-correlation obtaining sub-module;
  • the weighted merging sub-module is configured to perform weighted combining on the frequency domain random access signals according to the output result of the weight obtaining sub-module, thereby obtaining a frequency-domain random access signal after interference cancellation.
  • the detecting module 503 can further include:
  • a peak detection sequence acquisition submodule configured to multiply the frequency domain random access signal after interference cancellation with a frequency domain local root sequence or a frequency domain cyclic shift sequence conjugate point, and then perform IFFT processing to transform the RACH signal by frequency domain Go to the time domain, and then find the square of the module to get the peak detection sequence;
  • a noise estimation and peak detection sub-module configured to perform a noise mean estimation on the peak detection sequence, and obtain a signal detection threshold according to the estimated noise, and then detect a signal in a search window corresponding to the current frequency domain cyclic shift sequence, and Filter signals that exceed the detection threshold.
  • the obtaining module 501 may further include a descending sub-module, and the The sub-module is used to downsample the received time domain random access signal.
  • the detecting module 503 is further configured to include a merging sub-module, where the merging sub-module is configured to: when the random access signal is a random access signal in a repeated format, the repeated two-part corresponding peaks are used.
  • the detection sequence is power combined, and the combined peak detection sequence is sent to the noise estimation and peak detection sub-module.
  • the interference cancellation module 502 can also include:
  • the sequence validity determining sub-module is configured to perform sequence validity determination on all frequency domain cyclic shift sequences before acquiring the interference cancellation weight; at this time, the current frequency domain cyclic shift sequence is detected by the detecting module 503.
  • the interference cancellation module 502 can also include:
  • the packet selection combining sub-module is used for grouping all frequency domain cyclic shift sequences and grouping and combining interference cancellation weights of the same packet.
  • the current cyclic shift sequence when the detecting module 503 performs the detection is the frequency domain cyclic shift sequence of the same packet in the module 502.
  • the apparatus obtains an interference cancellation weight according to the frequency domain random access signal and the frequency domain local cyclic shift sequence, and randomly connects to the frequency domain.
  • the input signals are weighted and combined to achieve interference cancellation, so as to improve the missed detection performance and false alarm performance of the random access signal.
  • it can also improve the missed detection performance of small signals in the coexistence of large and small signals in this area, thereby further improving the performance of the system.
  • the method provided by the embodiment of the present invention does not need the neighboring area interference signal feature, and does not need to reconstruct the neighboring area interference signal and the local area interference signal, but directly implements interference cancellation, so the calculation amount is small, and resources are saved. Conducive to the realization of the system.
  • the embodiment of the present invention further provides a detection system for a random access signal in an interference environment, as shown in FIG. 10, including a terminal 1001 and a base station 1002, where the terminal 1001 is configured to send random access to the base station 1002.
  • the base station 1002 includes: a detecting apparatus 10021 for a random access signal in an interference environment; the apparatus is configured to receive a time domain random access signal, acquire a frequency domain random access signal; and according to the frequency domain random access signal and a frequency domain local cyclic shift sequence for the frequency domain
  • the machine access signal performs interference cancellation; and performs peak detection on the frequency domain random access signal after the interference cancellation;
  • the detecting device 10021 for randomly accessing the interference environment includes:
  • An acquiring module configured to receive a time domain random access signal, and obtain a frequency domain random access signal
  • an interference cancellation module configured to use the frequency domain random access signal and the frequency domain local cyclic shift sequence
  • the interference cancellation weight is obtained according to the relationship between the frequency domain random access signal and the frequency domain local cyclic shift sequence, and then eliminated according to the interference.
  • the weights are weighted and combined with the frequency domain random access signals to obtain the frequency domain random access signals after interference cancellation, and the interference cancellation is implemented, so as to improve the missed detection performance and false alarm performance of the random access signals.
  • it can also improve the leakage detection performance of small signals in the coexistence of large and small signals in this area, thereby further improving the performance of the system.
  • the method provided by the embodiment of the present invention does not need the neighboring area interference signal feature, and does not need to reconstruct the neighboring area interference signal and the local area interference signal, but directly implements interference cancellation, so the calculation amount is small, and resources are saved. Conducive to the realization of the system.
  • embodiments of the invention may be provided as a method, or a computer program product. Accordingly, the present invention may take the form of a hardware embodiment, a software embodiment, or a combination of software and hardware. Moreover, the invention can be embodied in the form of one or more computer program products embodied on a computer-usable storage medium (including but not limited to disk storage and optical storage, etc.) in which the program code available for the computer is incorporated.
  • a computer-usable storage medium including but not limited to disk storage and optical storage, etc.
  • the present invention is a flowchart and/or reference to a method and computer program product according to an embodiment of the present invention. Or a block diagram to describe. It will be understood that each flow and/or block of the flowchart illustrations and/or FIG.
  • These computer program instructions can be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing device to produce a machine for the execution of instructions for execution by a processor of a computer or other programmable data processing device.
  • the computer program instructions can also be stored in a computer readable memory that can direct a computer or other programmable data processing device to operate in a particular manner, such that the instructions stored in the computer readable memory produce an article of manufacture comprising the instruction device.
  • the apparatus implements the functions specified in one or more blocks of a flow or a flow and/or block diagram of the flowchart.
  • These computer program instructions can also be loaded onto a computer or other programmable data processing device such that a series of operational steps are performed on a computer or other programmable device to produce computer-implemented processing for execution on a computer or other programmable device.
  • the instructions provide steps for implementing the functions specified in one or more of the flow or in a block or blocks of a flow diagram.
  • the method, device and system disclosed in the embodiments of the present invention can eliminate the deterioration of the missed detection performance and the false alarm performance caused by the interference of the random access signal detection, improve the accuracy of the detection, and save resources.

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Mobile Radio Communication Systems (AREA)
  • Noise Elimination (AREA)

Abstract

一种干扰环境下随机接入信号的检测方法、装置和系统。所述的方法包括：接收时域随机接入信号，获取频域随机接入信号；根据所述频域随机接入信号和频域本地循环移位序列，获取干扰消除权值，利用获得的干扰消除权值对所述频域随机接入信号进行干扰消除；对所述干扰消除后的频域随机接入信号进行峰值检测。所述的装置包括：获取模块，设置为：接收时域随机接入信号，获取频域随机接入信号；干扰消除模块，设置为：根据所述频域随机接入信号和频域本地循环移位序列，计算干扰消除权值，对所述频域随机接入信号进行干扰消除；检测模块，设置为：对所述干扰消除后的频域随机接入信号进行峰值检测。

Description

一种干扰环境下随机接入信号的检测方法、 装置和系统
技术领域 本发明涉及移动通信技术领域， 特别涉及一种干扰环境下随机接入信号 的检测方法、 装置和系统。
背景技术
在 LTE ( Long Term Evolution, 长期演进） 系统中， 移动终端开机之后 首先通过 SCH ( synchronization Channel , 同步信道）进行下行同步， 确定无 线帧、 子帧的接收起点及小区号（Cell ID )； 然后通过检测 BCH ( Broadcast Channel, 广播信道）获取系统信息，该系统信息包括 RACH ( Random Access Channel, 随机接入信道） 的配置信息； 最后通过 RACH传送的随机接入信 号进行上行同步， 完成接入系统的工作。
在移动终端上行同步的过程中， 首先以下行同步时确定的无线帧及子帧 的接收起点为基础找到 RACH 的位置， 并确定发送上行随机接入前导的起 点， 然后从可用的序列中随机的选择一条作为随机接入信号的上行随机接入 前导发送。 基站对上行随机接入前导进行检测， 以确定上行同步的定时调整 量， 并将其发送给移动终端， 移动终端根据该定时调整量对上行信号的发送 时刻进行调整， 以实现上行信道的时间同步。
LTE系统中的上行随机接入前导由一个或多个 ZC ( Zadoff-Chu )根序列 产生。 第 u个 ZC根序列定义为 x" (") = e ; N∑C , Q≤n≤NzC - 其中， ZC根 序列的长 在 format 0-3模式下是 839, format 4模式下是 139。 每个小区 ( Cell )有 64条用于产生上行随机接入前导的序列， 该 64条序列既可以是 来自同一个根序列的不同循环移位序列， 也可以是来自不同根序列的循环移 位序列。 ZC 根序列是恒幅零自相关序歹' J ( Constant Amplitude zero Auto-correlation Code ,简称 CAZAC ) , 其相关性有如下特点： 相同的根序列 的不同循环序列之间的相关性为 0; 不同的根序列 （包括其彼此的循环移位 序列） 的相关性是1 /、/^ , 即随机接入信号的上行随机接入前导与非产生该 接入前导的序列之间的相关性非常小， 可以视为近似等于零， 而随机接入信 号的上行随机接入前导与产生该前导的序列的相关性最大。 因此， 可以利用 随机接入信号的上行随机接入前导跟所有序列的相关性对随机接入信号在时 域进行检测的方法来判断终端所发送的随机接入前导， 进而获得上行的定时 调整量， 实现上行信道的时间同步。
相关的随机接入信号检测方法， 当有较大的邻区干扰时， 信号峰值会淹 没在干扰和噪声中， 导致漏检； 同时也会因为干扰的影响， 检测到错误的峰 值， 导致虚检。 另外， 当本区有大小功率信号共存时， 大信号相对于小信号 为本区干扰，会加大小信号的漏检可能性。现有的一些串行干扰消除的方法， 先从接收到的随机接入信号中减去重构的干扰信号， 再进行检测， 每检测出 一个有用信号， 就从接收到的随机接入信号中再减去重构的有用信号， 再继 续进行检测。 这种方法首先要已知干扰信号， 对系统的要求比较高； 其次需 要多次重构， 占用的资源较大， 运算量也非常大， 难以实现和应用。 总之， 相关技术至少存在以下缺点： 随机接入信号的检测方法， 没有考 虑干扰的影响，在有邻区干扰信号的环境中存在漏检或虚检指标较高的问题， 同时对系统要求比较高， 占用的资源较大， 难以实现和应用。
发明内容
有鉴于此， 本发明公开了一种干扰环境下随机接入信号的检测方法、 装 置和系统， 用以消除干扰造成的漏检性能和虚警性能的恶化。
一方面本发明公开了一种干扰环境下随机接入信号的检测方法， 该方法 包括： 接收时域随机接入信号， 获取频域随机接入信号； 根据所述频域随机接入信号和频域本地循环移位序列， 分别获取干扰消 除权值， 利用获得的干扰消除权值对所述频域随机接入信号进行干扰消除； 对所述干扰消除后的频域随机接入信号进行峰值检测。
另一方面本发明公开了一种干扰环境下随机接入信号的检测装置， 该装 置包括：
获取模块， 设置为： 接收时域随机接入信号， 获取频域随机接入信号； 干扰消除模块， 设置为： 根据所述频域随机接入信号和频域本地循环移 位序列， 获取干扰消除权值， 根据获得的干扰消除权值对所述频域随机接入 信号进行干扰消除；
检测模块， 设置为： 对所述干扰消除后的频域随机接入信号进行峰值检 测。
本发明实施例公开的干扰环境下随机接入信号的检测方法、装置和系统， 用于接收时域随机接入信号， 获取频域随机接入信号； 根据所述频域随机接 入信号和频域本地循环移位序列， 对所述频域随机接入信号进行干扰消除； 对所述干扰消除后的频域随机接入信号进行峰值检测。 本发明实施例公开的 方法、 装置和系统可以消除随机接入信号检测时干扰造成的漏检性能和虚警 性能的恶化， 提高检测的准确度， 节约资源。
附图概述
图 1为本发明实施例干扰环境下随机接入信号的检测方法流程示意图； 图 2为本发明实施例为对重复格式的峰值检测序列先进行功率合并的检 测方法流程示意图；
图 3为本发明实施例对所有的频域循环移位序列进行序列有效性判断的 检测方法流程示意图；
图 4为本发明实施例对所有的频域循环移位序列进行分组选择与合并的 检测方法流程示意图；
图 5为本发明实施例干扰环境下随机接入信号的检测装置示意图； 图 6为本发明实施例中进行降釆样时的检测装置结构示意图；
图 7为本发明实施例中对重复格式的峰值检测序列先进行功率合并的装 置示意图；
图 8为本发明实施例中对所有的频域循环移位序列进行序列有效性判断 的装置示意图；
图 9为本发明实施例中为对所有的频域循环移位序列进行分组选择与合 并的检测装置示意图；
图 10为本发明实施例干扰环境下随机接入信号的检测系统结构示意图。
本发明的较佳实施方式
下面结合各个附图对本发明公开的技术方案的主要实现原理、 具体实施 方式及其能够达到的有益效果进行详细地阐述。
实施例 1如图 1所示， 为本发明提供的一种干扰环境下随机接入信号的 检测方法， 该方法包括以下步骤：
步骤 101、 基站接收时域随机接入信号， 获取频域随机接入信号 基站接收时域随机接入信号， 然后转换成频域随机接入信号。 频域随机 接入信号的具体形成过程可以为： 基站将接收到的时域随机接入信号经过快 速傅立叶变换（ Fast Fourier Transform , 简称 FFT )处理将随机接入信号由时 域变换到频域。 当然， 在 FFT之前也可以先对接收到的随机接入信号进行降 釆样。
步骤 102、 基站根据频域随机接入信号和频域本地循环移位序列， 获取 干扰消除权值， 利用获得的干扰消除权值对频域随机接入信号进行干扰消除 该步骤的具体过程可以为： 根据频域随机接入信号和所有的频域本地循 环移位序列， 分别获取干扰消除权值， 再根据所述干扰消除权值对频域随机 接入信号进行加权合并， 从而得到干扰消除后的频域随机接入信号。
设 M为接收天线个数； N是子载波数， 对于长 RACH, N=839, 5的维 数为 lxN , Y的维数为 MxN , 的维数为 lxN。
干扰消除权值的计算方法为：
W=RsrRrr (1) 其中， 是干扰消除权值， s是频域本地循环移位序列， γ是干扰 消除前的频域随机接入信号， ^ = {«^ } ^τ = ^^ } , ^ ^表示频域随机接 入信号和频域本地循环移位序列的互相关协方差矩阵， R 表示频域随机接 入信号的自相关协方差矩阵；
根据所述干扰消除权值对频域随机接入信号进行加权合并的方法为：
Y= WY (2)
其中， 是干扰消除后的频域随机接入信号， 是干扰消除权值， Y是 干扰消除前的频域随机接入信号。
步骤 103、 基站对干扰消除后的频域随机接入信号进行峰值检测 其中， 峰值检测的具体过程可以为： 将干扰消除后的频域随机接入信号 与频域本地根序列或频域本地循环移位序列共轭点乘， 所述的共轭点乘用公 式表示为1^ 其中 i表示向量中元素索引号，然后再经过反快速傅立叶变换 ( Inverse Fast Fourier Transform, 简称 IFFT )处理将随机接入信号由频 i或变 换到时域， 再求模平方， 所述的求模平方用公式表示为 ι2,其中 Z '为时域随 机信号， 最后得到峰值检测序列。 对峰值检测序列进行噪声均值估计， 并根 据该估计值得到信号检测门限， 所述的信号检测门限是对噪声均值估计的结 果放大一定的倍数得到的，具体的倍数值可以通过经验值或者仿真结果确定， 然后对当前频域循环移位序列 (即步骤 102中进行权值估计时所釆用的频域 本地循环移位序列 )对应的搜索窗内的信号进行检测， 并对超过检测门限的 信号进行筛选。 大于信号检测门限的信号即为有效信号， 即有用户发送该 RACH信号； 否则认为无效信号， 即没有用户发送该 RACH信号。
重复步骤 102〜步骤 103 , 直到所有根序列的所有循环移位序列都处理完 毕。
从以上的描述中， 可以看出通过本发明实施例提供的方法， 可以克服现 有串行干扰消除算法需要已知干扰信号， 并且需要多次重构， 运算量太大的 缺点， 实现消除随机接入信号检测时干扰造成的漏检和虚警性能的恶化， 提 高检测的准确度， 节约资源的功能。
实施例 2是当随机接入信号为重复格式的随机接入信号时， 釆用如下方 法， 该方法如图 2所示包括如下步骤：
步骤 201、 与步骤 101相同；
步骤 202、 与步骤 102相同；
步骤 203、对干扰消除后的频域随机接入信号进行功率合并和峰值检测。 其中， 功率合并和峰值检测的具体过程可以为： 将干扰消除后的频域随 机接入信号与频域本地根序列或频域循环移位序列共轭点乘， 然后再经过反 快速傅立叶变换处理将随机接入信号由频域变换到时域， 再求模平方， 得到 峰值检测序列。 将重复的两部分对应的峰值检测序列先进行功率合并， 再对 合并后的峰值检测序列进行噪声均值估计，并根据估计值得到信号检测门限， 然后对当前频域循环移位序列对应的搜索窗内的信号进行检测， 并对超过检 测门限的信号进行筛选。
其中， 功率合并的方法可以是等增益合并， 也可以是最大比合并等。 重复步骤 202〜步骤 203 , 直到所有根序列的所有循环移位序列都处理完 毕。
实施例 3是另一种干扰环境下随机接入信号的检测方法， 如图 3所示， 该方法包括以下步骤：
步骤 301、 与步骤 101相同； 步骤 302、 与步骤 102类似， 不同之处在于获取干扰消除权值之前先对 所有的频域本地循环移位序列进行序列有效性判断， 仅对判断为有效的频域 循环移位序列获取干扰消除权值， 再根据所述干扰消除权值对频域随机接入 信号进行加权合并， 从而得到干扰消除后的频域随机接入信号。
其中， 序列有效性判断的具体过程可以为： 根据所有频域循环移位序列 的特点进行有效性判断，或者将所有频域循环移位序列进行分组，各组分 别进行有效性判断。
其中， 所述 ^的特点可以为： 和的模平方值、 模平方的和值、 和的 模值、 模的和值、 实部和的平方值、 实部和的模值、 实部平方的和值、 实部 模值的和值等。
以 和的模平方值为例， 所述序列有效性判断的方法可以为： 当某个频 域循环移位序列 和的模平方值与所有频域循环移位序列 和的模平方均 值的比值大于一定门限值时， 认为该循环移位序列有效， 否则认为该循环移 位序列无效。 这里所述的门限值由测试人员根据经验设定。
以 ^和的模平方值为例， 所述序列有效性判断的方法还可以为： 当某个 频域循环移位序列 RSY和的模平方值与所有频域循环移位序列 RSY和的模平方 均值的比值大于一定门限值 ,并且该频域循环移位序列 和的模平方值与所 有频域循环移位序列 ^和的模平方值中的最大值的比值小于一定门限值认 为该循环移位序列有效， 否则认为该循环移位序列无效。 步骤 303、与步骤 103类似，此时所述当前频域循环移位序列为步骤 302 中判断为有效的频域循环移位序列。
重复步骤 302中序列有效性判断之后的处理〜步骤 303 ,直到所有判断为 有效的频域循环移位序列都处理完毕。 本发明实施例 4提供的另一种干扰环境下随机接入信号的检测方法， 如 图 4所示， 该方法包括以下步骤：
步骤 401、 与步骤 101相同；
步骤 402、 与步骤 102类似， 不同之处在于获取干扰消除权值之前先对 所有的频域本地循环移位序列进行分组选择， 对分组选择后的频域循环移位 序列获取干扰消除权值， 再对属于同一分组的干扰消除权值进行分组合并， 然后根据所述分组合并后的干扰消除权值对频域随机接入信号进行加权合 并， 从而得到干扰消除后的频域随机接入信号。
其中， 分组选择的具体过程可以为： 对所有频域循环移位序列进行等间 隔分组， 如间隔为 2、 3等； 也可以进行非等间隔分组， 如一个根序列上的所 有循环移位序列分为 1组、 2组等。 每组选择全部或者部分循环移位序列获 取干扰消除权值。
每个分组选择一个循环移位序列获取干扰消除权值。
其中， 分组合并的具体过程可以为： 对同一分组的干扰消除权值进行求 和。
步骤 403、 与步骤 103类似， 不同之处在于每次峰值检测时仅对属于同 一分组的频域循环移位序列进行峰值检测。
重复步骤 402中分组选择之后的处理〜步骤 403 ,直到所有分组选择后的 频域循环移位序列都处理完毕。
从以上的描述中， 可以看出， 根据本发明实施例提出的方法， 根据随机 接入信号本身的特点， 利用频域随机接入信号和频域本地循环移位序列的关 系， 对频域随机接入信号进行干扰消除， 以达到提高随机接入信号的漏检性 能和虚警性能的目的。 同时， 还可以提高本区大小信号共存时小信号的漏检 性能， 从而进一步改善系统的性能。 另外， 由于本发明实施例提供的方法不 需要邻区干扰信号特征， 也不需要重构邻区干扰信号和本区干扰信号， 而是 直接实现干扰消除， 因此运算量小， 节省了资源， 有利于系统的实现。
相应的， 本发明实施例还提供了一种干扰环境下随机接入信号的检测装 置， 其结构如图 5所示， 具体包括：
获取模块 501 , 用于接收时域随机接入信号， 获取频域随机接入信号； 干扰消除模块 502, 用于根据所述频域随机接入信号和频域本地循环移 位序列， 获取干扰消除权值， 对所述频域随机接入信号进行干扰消除；
检测模块 503 , 用于对所述干扰消除后的频域随机接入信号进行峰值检 测。
较佳的， 该干扰消除模块 502还可以包括：
自相关获取子模块， 用于获取所述频域随机接入信号的自相关协方差矩 阵结果；
互相关获取子模块， 用于获取所述频域随机接入信号和频域本地循环移 位序列的互相关协方差矩阵结果；
权值获取子模块， 用于根据互相关获取子模块的输出结果和自相关获取 子模块的输出结果获取干扰消除权值；
加权合并子模块， 用于根据权值获取子模块的输出结果对所述频域随机 接入信号进行加权合并， 从而得到干扰消除后的频域随机接入信号。
较佳的， 该检测模块 503还可以包括：
峰值检测序列获取子模块， 用于将干扰消除后的频域随机接入信号与频 域本地根序列或频域循环移位序列共轭点乘，然后再经过 IFFT处理将 RACH 信号由频域变换到时域， 再求模平方， 得到峰值检测序列；
噪声估计和峰值检测子模块， 用于对峰值检测序列进行一个噪声均值估 计， 并根据估计的噪声得到信号检测门限， 然后对当前频域循环移位序列对 应的搜索窗内的信号进行检测， 并对超过检测门限的信号进行筛选。
较佳的， 如图 6所示， 该获取模块 501还可以包括降釆样子模块， 该降 釆样子模块用于将接收到的时域随机接入信号进行降釆样。
较佳的， 如图 7所示该检测模块 503还可以包括合并子模块， 所述合并 子模块用于当随机接入信号是重复格式的随机接入信号时 , 将重复的两部分 对应的峰值检测序列进行功率合并， 再将合并后的峰值检测序列送入噪声估 计和峰值检测子模块。
较佳的， 如图 8所示该干扰消除模块 502还可以包括：
序列有效性判断子模块， 用于获取干扰消除权值之前先对所有的频域循 环移位序列进行序列有效性判断； 此时， 检测模块 503进行检测时的当前频 域循环移位序列为模块 502中判断为有效的频域循环移位序列。
较佳的， 如图 9所示该干扰消除模块 502还可以包括：
分组选择合并子模块， 用于对所有的频域循环移位序列进行分组选择和 对同一分组的干扰消除权值进行分组合并。 此时该检测模块 503进行检测时 的当前循环移位序列为模块 502中同一分组的频域循环移位序列。
从以上的描述中， 可以看出， 本发明实施例提出的装置， 根据所述频域 随机接入信号和频域本地循环移位序列， 获取干扰消除权值， 并对所述频域 随机接入信号进行加权合并， 实现干扰消除， 以达到提高随机接入信号的漏 检性能和虚警性能的目的。 同时， 还可以提高本区大小信号共存时小信号的 漏检性能， 从而进一步改善系统的性能。 另外， 由于本发明实施例提供的方 法不需要邻区干扰信号特征， 也不需要重构邻区干扰信号和本区干扰信号， 而是直接实现干扰消除， 因此运算量小， 节省了资源， 有利于系统的实现。
相应的， 本发明实施例还提供了一种干扰环境下随机接入信号的检测系 统， 如图 10所示， 包括终端 1001和基站 1002, 该终端 1001用于向所述基 站 1002发送随机接入信号； 该基站 1002, 包括： 干扰环境下随机接入信号 的检测装置 10021 ; 该装置用于接收时域随机接入信号， 获取频域随机接入 信号； 根据所述频域随机接入信号和频域本地循环移位序列， 对所述频域随 机接入信号进行干扰消除； 并对所述干扰消除后的频域随机接入信号进行峰 值检测；
较佳的， 该干扰环境下随机接入信号的检测装置 10021包括：
获取模块， 用于接收时域随机接入信号， 获取频域随机接入信号； 干扰消除模块， 用于根据所述频域随机接入信号和频域本地循环移位序 歹 |J , 对所述频域随机接入信号进行干扰消除；
检测模块， 用于对所述干扰消除后的频域随机接入信号进行峰值检测。 从以上的描述中， 可以看出， 根据本发明实施例提供的方法和装置， 根 据频域随机接入信号和频域本地循环移位序列的关系获取干扰消除权值， 再 根据所述干扰消除权值对频域随机接入信号进行加权合并， 从而得到干扰消 除后的频域随机接入信号， 实现干扰消除， 以达到提高随机接入信号的漏检 性能和虚警性能的目的。 同时， 还可以提高本区大小信号共存时小信号的漏 检性能， 从而进一步改善系统的性能。 另外， 由于本发明实施例提供的方法 不需要邻区干扰信号特征， 也不需要重构邻区干扰信号和本区干扰信号， 而 是直接实现干扰消除， 因此运算量小， 节省了资源， 有利于系统的实现。
通过具体实施方式的说明， 应当可对本发明为达成预定目的所釆取的技 术手段及功效得以更加深入且具体的了解， 然而所附图示仅是提供参考与说 明之用， 并非用来对本发明加以限制。 同时在不冲突的情况下， 实施例和实 施例中的特征可以相互组合。
本领域内的技术人员应明白， 本发明的实施例可提供为方法、 或计算机 程序产品。 因此， 本发明可釆用硬件实施例、 软件实施例、 或结合软件和硬 件方面的实施例的形式。 而且， 本发明可釆用在一个或多个其中包含有计算 机可用程序代码的计算机可用存储介质 (包括但不限于磁盘存储器和光学存 储器等）上实施的计算机程序产品的形式。
本发明是参照根据本发明实施例的方法和计算机程序产品的流程图和 / 或方框图来描述的。应理解可由计算机程序指令实现流程图和 /或方框图中的 每一流程和 /或方框、 以及流程图和 /或方框图中的流程和 /或方框的结合。 可 提供这些计算机程序指令到通用计算机、 专用计算机、 嵌入式处理机或其他 可编程数据处理设备的处理器以产生一个机器， 使得通过计算机或其他可编 程数据处理设备的处理器执行的指令产生用于实现在流程图一个流程或多个 流程和 /或方框图一个方框或多个方框中指定的功能的装置。
这些计算机程序指令也可存储在能引导计算机或其他可编程数据处理设 备以特定方式工作的计算机可读存储器中， 使得存储在该计算机可读存储器 中的指令产生包括指令装置的制造品， 该指令装置实现在流程图一个流程或 多个流程和 /或方框图一个方框或多个方框中指定的功能。
这些计算机程序指令也可装载到计算机或其他可编程数据处理设备上， 使得在计算机或其他可编程设备上执行一系列操作步骤以产生计算机实现的 处理， 从而在计算机或其他可编程设备上执行的指令提供用于实现在流程图 一个流程或多个流程和 /或方框图一个方框或多个方框中指定的功能的步骤。
以上所述， 仅为本发明的较佳实施例而已， 并非用于限定本发明的保护 范围。
工业实用性
本发明实施例公开的方法、 装置和系统可以消除随机接入信号检测时干 扰造成的漏检性能和虚警性能的恶化， 提高检测的准确度， 节约资源。

Claims

权 利 要 求 书
1、 一种干扰环境下随机接入信号的检测方法， 所述方法包括： 接收时域随机接入信号获取频域随机接入信号；
根据所述频域随机接入信号和频域本地循环移位序列， 分别获取干扰消 除权值， 利用获得的干扰消除权值对所述频域随机接入信号进行干扰消除； 对干扰消除后的频域随机接入信号进行峰值检测。
2、如权利要求 1所述的方法， 其中， 所述接收时域随机接入信号获取频 域随机接入信号是先将接收到的时域随机接入信号经过降釆样再经过快速傅 立叶变换得到 频域的随机接入信号。
3、如权利要求 1所述的方法， 其中， 所述的根据所述频域随机接入信号 和频域本地循环移位序列， 分别获取干扰消除权值是按照 W=RsrRrr'计算的， 其中， 是干扰消除权值， Rsr = E{SYH \ 7 , S是频域本地循环移位序 列， Y是干扰消除前的频域随机接入信号， S的维数为 1XN， Y的维数为 M XN , M为接收天线个数， N是子载波数。
4、如权利要求 1所述的方法， 其中， 所述的对所述频域随机接入信号进 行干扰消除是按照 f=if7计算的， 其中， 是干扰消除权值， 是干扰消除后 的频域随机接入信号， 的维数为 lxN。
5、如权利要求 1所述的方法， 其中， 所述的对干扰消除后的频域随机接 入信号进行峰值检测的步骤包括：
将干扰消除后的频域随机接入信号与频域本地根序列或频域循环移位序 列共轭点乘；
将共轭点乘得到的信号由频域变换到时域；
将时域信号求模平方， 得到峰值检测序列；
对峰值检测序列进行检测。
6、如权利要求 5所述的方法， 其中， 所述的对峰值检测序列进行检测是 对峰值检测序列进行噪声均值估计， 并根据该估计值得到信号检测门限， 然 后对当前频域循环移位序列对应的搜索窗内的信号进行检测， 并对符合超过 检测门限的信号进行筛选。
7、如权利要求 5所述的方法， 其中， 所述的对峰值检测序列进行检测是 将随机接入信号为重复格式的峰值检测序列先进行功率合并， 再对合并后的 峰值检测序列进行噪声均值估计， 并根据该估计值得到信号检测门限， 然后 对当前频域循环移位序列对应的搜索窗内的信号进行检测， 并对符合超过检 测门限的信号进行筛选。
8、如权利要求 7所述的方法， 其中， 所述的功率合并是等增益合并或最 大比合并。
9、如权利要求 1所述的方法， 其中， 在所述的根据所述频域随机接入信 号和频域本地循环移位序列， 获取干扰消除权值之前还包括对所有的频域循 环移位序列进行序列有效性判断。
10、 如权利要求 9所述的方法， 其中， 当获取干扰消除权值之前对所有 的频域循环移位序列进行序列有效性判断时对干扰消除后的频域随机接入信 号进行峰值检测时仅对判断为有效的频域循环移位序列对应的搜索窗进行检 测。
11、 如权利要求 1所述的方法， 其中， 在所述的根据所述频域随机接入 信号和频域本地循环移位序列， 分别获取干扰消除权值， 对所述频域随机接 入信号进行干扰消除还包括在获取干扰消除权值前对所有的频域循环移位序 列进行分组选择， 在获取干扰消除权值后对属于同一分组的干扰消除权值进 行分组合并。
12、如权利要求 11所述的方法， 其中， 所述的分组选择为等间隔分组或 非等间隔分组。
13、如权利要求 12所述的方法， 其中， 当在获取干扰消除权值之前还对 所有的频域循环移位序列进行分组选择时则所述的对所述频域随机接入信号 进行干扰消除是每组选择全部或者部分循环移位序列获取干扰消除权值， 同 时对所述干扰消除后的频域随机接入信号进行峰值检测是对同一分组的频域 循环移位序列对应的搜索窗内的信号进行峰值检测。
14、 一种干扰环境下随机接入信号的检测装置， 该装置包括：
获取模块， 设置为： 接收时域随机接入信号， 获取频域随机接入信号； 干扰消除模块， 设置为： 根据所述频域随机接入信号和频域本地循环移 位序列， 获取干扰消除权值， 对所述频域随机接入信号进行干扰消除；
检测模块， 设置为： 对所述干扰消除后的频域随机接入信号进行峰值检 测。
15、 如权利要求 14所述的检测装置， 其中， 所述的获取模块包括降釆样 子模块， 所述的降釆样子模块设置为： 将接收到的时域随机接入信号进行降 釆样。
16、 如权利要求 14所述的检测装置， 其中， 所述的干扰消除模块包括： 自相关获取子模块， 设置为： 获取所述频域随机接入信号的自相关协方 差矩阵结果；
互相关获取子模块， 设置为： 获取所述频域随机接入信号和频域本地循 环移位序列的互相关协方差矩阵结果；
权值获取子模块， 设置为： 根据互相关获取子模块的输出结果和自相关 获取子模块的输出结果获取干扰消除权值；
加权合并子模块， 设置为： 根据权值获取子模块的输出结果对所述频域 随机接入信号进行加权合并， 从而得到干扰消除后的频域随机接入信号。
17、 如权利要求 14所述的检测装置， 其中， 所述的检测模块包括： 峰值检测序列获取子模块， 设置为： 将干扰消除后的频域随机接入信号 与频域本地根序列或频域循环移位序列共轭点乘， 然后再经过反快速傅立叶 变换将随机接入信号由频域变换到时域， 再求模平方， 得到峰值检测序列； 噪声估计和峰值检测子模块， 设置为： 对峰值检测序列进行噪声均值估 计， 并根据估计的噪声得到信号检测门限， 然后对当前频域循环移位序列对 应的搜索窗内的信号进行检测， 并对符合超过检测门限的信号进行筛选。
18、如权利要求 17所述的检测装置， 其中， 所述的检测模块还包括合并 子模块， 所述的合并模块设置为： 当随机接入信号是重复格式的随机接入信 号时， 将重复的两部分对应的峰值检测序列进行功率合并， 再将合并后的峰 值检测序列送入噪声估计和峰值检测子模块。
19、 如权利要求 16 所述的检测装置， 其中， 所述的干扰消除模块还包 括有效性判断模块， 所述的有效性判断模块设置为： 在获取干扰消除权值之 前先对所有的频域循环移位序列进行序列有效性判断。
20、 如权利要求 19 所述的检测装置， 其中， 所述的噪声估计和峰值检 测子模块设置为： 当干扰消除模块在获取干扰消除权值之前对所有的频域循 应的搜索窗内的信号进行检测。
21、如权利要求 16所述的检测装置， 其中， 所述的干扰消除模块还包括 分组选择合并子模块， 所述的分组选择合并子模块设置为： 对所有的频域循 环移位序列进行分组选择和对属于同一分组的干扰消除权值进行分组合并。
22、如权利要求 21所述的检测装置， 其中， 所述的噪声估计和峰值检测 子模块设置为： 当干扰消除模块在获取干扰消除权值之前对所有的频域循环 移位序列进行分组时则仅对同一分组的频域循环移位序列对应的搜索窗内的 信号进行峰值检测。
23、 一种干扰环境下随机接入信号的检测系统， 该系统包括终端和检测 装置，
所述的终端设置为： 向所述基站发送随机接入信号； 所述的检测装置设置为： 接收时域随机接入信号， 获取频域随机接入信 号， 再根据所述频域随机接入信号和频域本地循环移位序列， 对所述频域随 机接入信号进行干扰消除， 并对所述干扰消除后的频域随机接入信号进行峰 值检测。
PCT/CN2014/085073 2014-03-12 2014-08-22 一种干扰环境下随机接入信号的检测方法、装置和系统 WO2015135295A1 (zh)

Priority Applications (2)

Application Number Priority Date Filing Date Title
EP14885780.8A EP3104657B1 (en) 2014-03-12 2014-08-22 Method, device and system for detecting random access signal in interference environment
US15/123,682 US20170019929A1 (en) 2014-03-12 2014-08-22 Method, Device and System for Detecting Random Access Signal in Interference Environment

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201410091391.2 2014-03-12
CN201410091391.2A CN104918336A (zh) 2014-03-12 2014-03-12 一种干扰环境下随机接入信号的检测方法、装置和系统

Publications (1)

Publication Number Publication Date
WO2015135295A1 true WO2015135295A1 (zh) 2015-09-17

Family

ID=54070868

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2014/085073 WO2015135295A1 (zh) 2014-03-12 2014-08-22 一种干扰环境下随机接入信号的检测方法、装置和系统

Country Status (4)

Country Link
US (1) US20170019929A1 (zh)
EP (1) EP3104657B1 (zh)
CN (1) CN104918336A (zh)
WO (1) WO2015135295A1 (zh)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113670953A (zh) * 2021-08-20 2021-11-19 北京航空航天大学 一种基于加权窗求直射与反射信号snr干涉峰值的方法

Families Citing this family (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105306097B (zh) * 2014-06-18 2019-07-26 中兴通讯股份有限公司 一种随机接入信号的检测方法、装置和系统
CN108307408B (zh) * 2017-01-11 2023-03-14 中兴通讯股份有限公司 识别干扰引起虚检的检测方法、装置及基站
BR112019019932A2 (pt) 2017-03-24 2020-04-22 Mediatek Inc aparelhos e métodos para identificação de feixe através do canal de acesso aleatório físico (prach) e utilização eficiente de recursos de prach
TWI669016B (zh) 2017-03-24 2019-08-11 聯發科技股份有限公司 一種透過隨機存取程式以要求應需系統資訊的裝置及方法
CN108259113A (zh) * 2018-01-18 2018-07-06 中兴通讯股份有限公司 一种信息处理方法、装置、基站和计算机可读存储介质
CN108880661B (zh) * 2018-07-02 2020-09-04 成都国恒空间技术工程有限公司 一种非相干门限判决帧同步方法、装置及其可读存储介质
CN109041256B (zh) * 2018-10-23 2020-11-06 京信通信系统（中国）有限公司 随机接入方法、装置及系统
CN114731701B (zh) * 2019-12-04 2023-11-28 华为技术有限公司 一种序列检测方法及设备
TWI748333B (zh) * 2020-01-21 2021-12-01 瑞昱半導體股份有限公司 干擾消除電路及相關的干擾消除方法
CN113014279B (zh) * 2021-01-12 2022-02-11 西安交通大学 一种视距通信中具备抗干扰能力的帧检测方法
CN113468772B (zh) * 2021-09-03 2021-11-30 蜂巢能源科技有限公司 电芯随机振动的处理方法与装置

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1256812A (zh) * 1998-02-12 2000-06-14 诺基亚网络有限公司 数据传输方法和无线系统
CN1855767A (zh) * 2005-04-18 2006-11-01 大唐移动通信设备有限公司 在时分同步码分多址通信系统中建立大半径小区的方法
CN102209052A (zh) * 2010-03-31 2011-10-05 中兴通讯股份有限公司 一种随机接入信号的频偏补偿方法和装置
CN102612051A (zh) * 2011-01-24 2012-07-25 中兴通讯股份有限公司 基于td-lte的随机接入检测方法及装置

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7415061B2 (en) * 1999-08-31 2008-08-19 Broadcom Corporation Cancellation of burst noise in a communication system with application to S-CDMA
US20050180364A1 (en) * 2002-09-20 2005-08-18 Vijay Nagarajan Construction of projection operators for interference cancellation
CN101295999B (zh) * 2008-06-27 2014-02-19 中兴通讯股份有限公司 一种随机接入前导的检测方法
US8265642B2 (en) * 2009-06-16 2012-09-11 Qualcomm Incorporated Systems, apparatus and methods for physical random access channel processing
CN101944929B (zh) * 2009-07-06 2013-08-07 中兴通讯股份有限公司 基于随机接入过程的检测方法和检测装置
US9042428B2 (en) * 2012-05-04 2015-05-26 Telefonaktiebolaget L M Ericsson (Publ) Efficient frequency domain (FD) MMSE equalization weight updates in a multi-stage parallel interference cancellation receiver

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1256812A (zh) * 1998-02-12 2000-06-14 诺基亚网络有限公司 数据传输方法和无线系统
CN1855767A (zh) * 2005-04-18 2006-11-01 大唐移动通信设备有限公司 在时分同步码分多址通信系统中建立大半径小区的方法
CN102209052A (zh) * 2010-03-31 2011-10-05 中兴通讯股份有限公司 一种随机接入信号的频偏补偿方法和装置
CN102612051A (zh) * 2011-01-24 2012-07-25 中兴通讯股份有限公司 基于td-lte的随机接入检测方法及装置

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113670953A (zh) * 2021-08-20 2021-11-19 北京航空航天大学 一种基于加权窗求直射与反射信号snr干涉峰值的方法
CN113670953B (zh) * 2021-08-20 2022-07-22 北京航空航天大学 一种基于加权窗求直射与反射信号snr干涉峰值的方法

Also Published As

Publication number Publication date
US20170019929A1 (en) 2017-01-19
EP3104657A4 (en) 2017-03-08
EP3104657B1 (en) 2018-12-05
CN104918336A (zh) 2015-09-16
EP3104657A1 (en) 2016-12-14

Similar Documents

Publication Publication Date Title
WO2015135295A1 (zh) 一种干扰环境下随机接入信号的检测方法、装置和系统
KR102248486B1 (ko) 수신 신호의 주파수 오프셋을 추정하는 방법 및 장치
JP2018506216A (ja) ランダムアクセスプリアンブルを生成し及び検出するための方法及びデバイス
US20070291696A1 (en) Method and apparatus for performing random access in a wireless communication system
US9756657B2 (en) Wireless network signal to interference plus noise ratio estimation for a random access channel
RU2006140986A (ru) Устройство и способ канальной оценки в системе сотовой связи с мультиплексированием с ортогональным частотным разделением, использующей множеством передающих антенн
US10355802B2 (en) Method of cell search
CN102209052B (zh) 一种随机接入信号的频偏补偿方法和装置
WO2009155882A1 (zh) 一种随机接入前导的检测方法
CN109428847B (zh) NB-IoT系统中下行次同步信号的检测与同步方法及装置
JP2020519162A (ja) アップリンク同期タイミング偏差を決定するための方法および装置
Han et al. Experimental demonstration of underwater acoustic communication using bionic signals
CN112585874B (zh) 用于信号检测的本底噪声估计
JP6437577B2 (ja) ランダムアクセス信号の検出方法、装置及びシステム
TW200841660A (en) System and methods for rapid uplink air interface synchronization
RU2700005C1 (ru) Способ оценки параметров канала в широкополосной гидроакустической связи и устройство для его реализации
KR20150145035A (ko) Fbmc 시스템에서 심볼을 송수신하는 기법
Socheleau Cyclostationarity of communication signals in underwater acoustic channels
CN108259395B (zh) 一种信道估计方法及装置
CN108574956B (zh) 一种特征序列的优选方法和装置
JP4809445B2 (ja) 無線品質を測定する装置及び方法
KR20190115162A (ko) 랜덤 액세스용 프리앰블 송신 방법, 랜덤 액세스용 프리앰블 수신 방법 및 랜덤 액세스용 프리앰블 수신 장치
JP2004158933A (ja) 同期追従装置及び方法
Le et al. High Dynamic Spread Spectrum Signal Acquisition Algorithm based on Delay Autocorrelation
CN108306721B (zh) 一种通信频段检测方法和装置

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 14885780

Country of ref document: EP

Kind code of ref document: A1

WWE Wipo information: entry into national phase

Ref document number: 15123682

Country of ref document: US

REEP Request for entry into the european phase

Ref document number: 2014885780

Country of ref document: EP

WWE Wipo information: entry into national phase

Ref document number: 2014885780

Country of ref document: EP

NENP Non-entry into the national phase

Ref country code: DE