CN106130571A  A kind of signal sampling method of reseptance based on frequency domain and spatial domain compressed sensing and device  Google Patents
A kind of signal sampling method of reseptance based on frequency domain and spatial domain compressed sensing and device Download PDFInfo
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 CN106130571A CN106130571A CN201610435298.8A CN201610435298A CN106130571A CN 106130571 A CN106130571 A CN 106130571A CN 201610435298 A CN201610435298 A CN 201610435298A CN 106130571 A CN106130571 A CN 106130571A
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 signal
 spatial domain
 compressed sensing
 attenuator
 frequency
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 238000005070 sampling Methods 0 abstract title 5
 238000004891 communication Methods 0 abstract 3
 229920002574 CR39 Polymers 0 abstract 2
 238000004458 analytical methods Methods 0 abstract 1
 239000011159 matrix materials Substances 0 abstract 1
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 238000003860 storage Methods 0 abstract 1
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Classifications

 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
 H04B1/0003—Softwaredefined radio [SDR] systems, i.e. systems wherein components typically implemented in hardware, e.g. filters or modulators/demodulators, are implented using software, e.g. by involving an AD or DA conversion stage such that at least part of the signal processing is performed in the digital domain
 H04B1/0007—Softwaredefined radio [SDR] systems, i.e. systems wherein components typically implemented in hardware, e.g. filters or modulators/demodulators, are implented using software, e.g. by involving an AD or DA conversion stage such that at least part of the signal processing is performed in the digital domain wherein the AD/DA conversion occurs at radiofrequency or intermediate frequency stage

 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

 H—ELECTRICITY
 H04—ELECTRIC COMMUNICATION TECHNIQUE
 H04B—TRANSMISSION
 H04B7/00—Radio transmission systems, i.e. using radiation field
 H04B7/02—Diversity systems; Multiantenna system, i.e. transmission or reception using multiple antennas
 H04B7/04—Diversity systems; Multiantenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
 H04B7/08—Diversity systems; Multiantenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the receiving station
 H04B7/0837—Diversity systems; Multiantenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the receiving station using predetection combining
 H04B7/0842—Weighted combining
 H04B7/086—Weighted combining using weights depending on external parameters, e.g. direction of arrival [DOA], predetermined weights or beamforming
Abstract
Description
Technical field
The present invention relates to radar, electronic reconnaissance and wideband communication signal process field, particularly relate to a kind of based on frequency domain and The signal sampling method of reseptance of spatial domain compressed sensing and device.
Background technology
Conventional electrical reconnaissance system through frequently with phaseinterferometer or spatial spectrum anglemeasuring method to aerial/Ground emitter signals Carry out direction of arrival (DOA) estimate and/or position.Common workflow: Radar emitter radiofrequency signal is defeated through aerial array Enter, through receiver front end amplitude limit, LNA, filter and be mixed, (on) become intermediatefreuqncy signal output after down coversion, ADC adopts Do channelizing after sample, become baseband signal and be further processed.
Along with the fast development of Radar Technology, multifunctional novel radar continues to bring out, radar transmitter radiofrequency signal frequency Rate is more and more higher, and bandwidth is more and more wider, and to electronic reconnaissance system structure serious challenge, such as ADC sample rate is the highest, And the resolving power of ADC can not too low (general number of significant digit is not less than 8bit) because frequencymeasurement accuracy and CFAR threshold value Noise Estimation of Mean precision both depends in arranging the number of significant digit of analogdigital converter, and resolving power is too low, and frequencymeasurement accuracy is deteriorated, It is unfavorable for that DOA based on frequency measurement system estimates.Falsealarm probability increases, and is unfavorable for that radar emitter signal detects.ADC technology Development can not infinitely cater to this demand, and usually can not make progress between sample rate and resolving power simultaneously because This can bring the great expense incurred on cost, and it is real that this just requires to use new method, new principle to solve electronic reconnaissance system physics Existing feasibility and a complexity difficult problem.
Although bandpass sample theory shows, as long as ADC sample rate meets more than or equal to twice signal bandwidth, it is not necessary to respect to Signal carrier frequency, so that it may recover primary signal without distortions, but for a wideband electronic reconnaissance system, putting of this condition Pine does not tackle the problem at its root.
If directly to radio frequency signal sampling, it is possible to solution high band, big bandwidth, low noise wideband radar signal are detectd Receive, sample, the rigors such as storage, compressive sensing theory is that direct RF sampling provides theoretical foundation, and its principle is profit With openness in frequency domain of radar emitter signal, realized with relatively low sampling rate with regard to restructural by structure frequency domain measurement matrix Frequencyregion signal purpose, the realization for wideband electronic reconnaissance system provides feasible scheme.But, this time receiver channel Complexity is the most at a relatively high, and conditional electronic reconnaissance system antenna receives unit and receiver channel one_to_one corresponding, along with antenna number Mesh rolls up, and receiver channel number increases therewith, and system cost and complexity are day by day serious, and such as spatial spectrum angle measurement uses big Scale linear array, angle measurement accuracy is at a relatively high, but brings receiver and designs excessively challenge.
Summary of the invention
In view of this, the invention provides a kind of signal sampling method of reseptance based on frequency domain and spatial domain compressed sensing and dress Put, reduce digital receiver port number while ADC sample rate can be reduced, greatly reduce system design cost.
There is advantages that
(1) present invention uses the form that frequency domain compressed sensing matrix is connected with spatial domain compressed sensing calculation matrix, right Radiofrequency signal carries out the compression of frequency domain and spatial domain, and wherein, after the compression of frequency domain, ADC sample rate becomes originally adopting M/N times of sample rate, has saved system design cost and system power dissipation, provides feasibility side for signal storage and further analysis Case；After spatial domain is compressed, digital receiver port number becomes original m/n times, significantly reduces system complexity.
Accompanying drawing explanation
Fig. 1 is the flow chart of the sampling method of reseptance of the present invention.
Fig. 2 be the frequency domain compressed sensing calculation matrix of the present invention realize schematic diagram of device.
Fig. 3 be the spatial domain compressed sensing calculation matrix of the present invention realize schematic diagram of device.
Detailed description of the invention
Develop simultaneously embodiment below in conjunction with the accompanying drawings, describes the present invention.
Radar emitter signal brings hope the openness of spatial domain for compressed sensing structure low complex degree receiver, Establish theoretical basis for building low cost wide having electronic reconnaissance system, used less receiver channel to realize high accuracy DOA and estimate Meter.
Signal is the foundation constructing compressed sensing calculation matrix dimension size at the degree of rarefication of not same area, the determination of degree of rarefication Needing combined with concrete application background, it determines that method can be achieved by the prior art.We assume that radar emitter signal Degree of rarefication in frequency domain and spatial domain is it is known that the present invention proposes a kind of signal sampling recipient based on frequency domain and spatial domain compressed sensing Method, as it is shown in figure 1, comprise the steps:
Step 1, each road radiofrequency signal received for n antenna element in reception system, carry out frequency domain pressure respectively Contracting perception processes, and obtains the n road radiofrequency signal after frequency compression；Wherein, it is M that employing has row vector, and column vector is the frequency of N Territory compressed sensing calculation matrix carries out frequency compression, and M ≈ 3K, K are the target degree of rarefication in frequency domain；N is number of samples；
N road radiofrequency signal after step 2, the frequency compression obtained for step 1, sends into spatial domain compressed sensing and measures square Carry out spatial domain compression in Zhen, obtain the m road radiofrequency signal after spatial domain is compressed；Wherein, described spatial domain compressed sensing The row vector of calculation matrix is m, and column vector is n, m ≈ 3H, and H is the target degree of rarefication in spatial domain；
M road radiofrequency signal after spatial domain is compressed is sampled by step 3, m Sampling Machine of employing respectively；
M road radiofrequency signal after sampling is received by step 4, m receiver of employing respectively, is achieved in adopting of signal Sample receives process.
In FIG, electronic reconnaissance system covering frequence scope is f_{L}f_{H}, the system that receives uses n antenna element, receives N road radiofrequency signal x (t).The frequencydomain sparse degree assuming radar emitter signal is K, then frequency domain compressed sensing calculation matrix A ∈ R^{M} ^{×N}Row vector meet M ≈ 3K, due to K ＜ ＜ N, therefore, M ＜ ＜ N, N are to exist the radiofrequency signal not carrying out frequency domain compression The number of samples of ADC in unit interval, M is that the radiofrequency signal to frequency domain compression is within the same unit interval after compression sampling ADC number of samples.It is x (t) that n road antenna receives the radiofrequency signal of unit input, then through frequency domain compressed sensing calculation matrix A After, becoming n road radiofrequency signal y (t)=Ax (t), ADC sample rate is M/N times of original sample rate, and sample rate greatly reduces.
Again after spatial domain compressed sensing calculation matrix, n road radiofrequency signal y (t) surveys through spatial domain compressed sensing again Moment matrix B ∈ R^{m×n}After, become m road radiofrequency signal output z (t)=By (t)=BAx (t), wherein, m ≈ 3H, H represent that target exists The degree of rarefication of spatial domain.Due to H ＜ ＜ n, then m ＜ ＜ n, now digital receiver port number becomes original m/n times, significantly subtracts Having lacked receiver channel number, Receiver Complexity is greatly lowered.Signal reconstruction in diagram 1 realizes frequency domain sparse signal weight Structure, channelization scheme is realized by signal reconstruction, saves channelization scheme conventional in conventional electrical reconnaissance system, through numeral LNA, filtering, (on) eventually become baseband signal subsequent treatment after down coversion.
Signal reconstruction instead of channelization scheme in conventional electrical reconnaissance system；Channelizing side in conventional electrical reconnaissance system Case is substantially transformed into frequency domain timedomain sampling signal, and frequencyregion signal is carried out frequency sweep, to determine which emitter Signals is positioned at In individual subband.The receiver channel problem of inconsistency run in conventional electrical reconnaissance system has obtained basic solution.Because Traditional electronic reconnaissance system uses multipassage design scheme to realize a certain function mostly, and usual flow process is antenna radiofrequency signal warp After crossing broadband receiver, exporting after radiofrequency signal is transformed into intermediatefreuqncy signal, at this time radiofrequency signal bandwidth drops to highspeed ADC During the scope that sample rate can accept, starting to perform ADC sampling, this is conventional method, actually in conventional scheme, and Duo Gejie Receiving passage and have employed a large amount of analog device, being not exclusively digital receiver, so bringing the amplitude phase unbalance problem of signal.And The direct sampling plan of new radio frequency, then use alldigital receiver, there is not multichannel amplitude phase unbalance sex chromosome mosaicism, other link The error introduced can be ignored, such as sample quantization error etc..
Present invention also offers the realization dress of frequency domain compressed sensing calculation matrix and spatial domain compressed sensing calculation matrix Put, as shown in Figure 2, it is achieved the device of frequency domain compressed sensing calculation matrix, including M × N number of attenuator and M+1 addition Device；Representing attenuator, ∑ () represents adder；The input of each attenuator all receives the radiofrequency signal on place road；M× N number of attenuator is divided into M group, output one adder of termination of the N number of attenuator often organized, M group attenuator correspondence M addition Device, another one adder is connected on the outfan of this M adder.Ith tunnel radiofrequency signal x_{i}(t) be input to parallel M × N number of by In the structured LDPC binary measure matrix that attenuator array is constituted, " focusing " of output signal is by first adder of diagram Realizing, second adder achieves frequency domain compressed sensing calculation matrix totally " focusing ", y_{i}(t)=Ax_{i}T () is the ith road radio frequency Signal exports.
As shown in Figure 3, it is achieved the device of spatial domain compressed sensing calculation matrix, add including m × n attenuator and m Musical instruments used in a Buddhist or Taoist mass；Representing attenuator, ∑ () represents adder；M × n attenuator is divided into m group, and often group has n attenuator；Its In, the equal one_to_one corresponding of n attenuator in any one group receives the n road radiofrequency signal after frequency compression, often organizes attenuator Outfan connects an adder jointly.M it is input to parallel by n road radiofrequency signal y (t) of frequency domain compressed sensing calculation matrix output In × n attenuator, the row vector of LDPC binary measure matrix B is made up of n attenuator, after " multiplyadd " computing, exports m Road analog radiofrequency signal z (t).Analog radio frequency after frequency domain compressed sensing calculation matrix and spatial domain compressed sensing calculation matrix Signal z (t), then after m road ADC samples, not only ADC sample rate reduces, and receiver channel number decreases, but DOA estimated accuracy is unaffected.
In sum, these are only presently preferred embodiments of the present invention, be not intended to limit protection scope of the present invention. All within the spirit and principles in the present invention, any modification, equivalent substitution and improvement etc. made, should be included in the present invention's Within protection domain.
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Citations (3)
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CN103117818A (en) *  20130116  20130522  南京邮电大学  Broadband spectrum sensing method based on spacefrequency joint compressed sensing 
US9015007B2 (en) *  20101213  20150421  Southwest Research Institute  Sensor array processor with multichannel reconstruction from random array sampling 
CN105158735A (en) *  20150603  20151216  西安电子科技大学  Space frequency twodimensional spectrum estimation method based on compressed sampling array 

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US9015007B2 (en) *  20101213  20150421  Southwest Research Institute  Sensor array processor with multichannel reconstruction from random array sampling 
CN103117818A (en) *  20130116  20130522  南京邮电大学  Broadband spectrum sensing method based on spacefrequency joint compressed sensing 
CN105158735A (en) *  20150603  20151216  西安电子科技大学  Space frequency twodimensional spectrum estimation method based on compressed sampling array 
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