CN102087354A - Passive radar grouping LS-CLEAN weak target detection method - Google Patents

Passive radar grouping LS-CLEAN weak target detection method Download PDF

Info

Publication number
CN102087354A
CN102087354A CN 201010588132 CN201010588132A CN102087354A CN 102087354 A CN102087354 A CN 102087354A CN 201010588132 CN201010588132 CN 201010588132 CN 201010588132 A CN201010588132 A CN 201010588132A CN 102087354 A CN102087354 A CN 102087354A
Authority
CN
China
Prior art keywords
target
signal
grouping
interference
target echo
Prior art date
Legal status (The legal status 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 status listed.)
Pending
Application number
CN 201010588132
Other languages
Chinese (zh)
Inventor
徐定杰
吕东泽
沈锋
周宇
党超
王兆龙
盖猛
李志强
贺瑞
陈阳
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Harbin Engineering University
Original Assignee
Harbin Engineering University
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 Harbin Engineering University filed Critical Harbin Engineering University
Priority to CN 201010588132 priority Critical patent/CN102087354A/en
Publication of CN102087354A publication Critical patent/CN102087354A/en
Pending legal-status Critical Current

Links

Images

Abstract

The invention provides a passive radar grouping LS-CLEAN weal target detection method. The method comprises the following steps of: averagely and continuously grouping all sampling points of radar reference signals and target echo signals; respectively projecting each group of target echo signals in a subspace being orthogonal with an interference subspace of each group; effectively suppressing direct wave interference and multipath interference; carrying out Doppler compensation on the echo signals; iteratively suppressing the shielding effect of a strong target sidelobe on weak target echo waves; calculating processed residual signal energy; when the residual signal energy is equivalent to a noise level, stopping iterating; and carrying out CFAR (Constant False Alarm Rate) processing on the signals at the moment to detect out weak targets. The method can be used for effectively suppressing direct wave interference, multipath interference and clutter interference and effectively eliminating the shielding effect of the strong target sidelobe on the weak target echo waves; by utilizing the method, the interference suppression residue can be reduced, and the calculated amount is small; and the method is suitable for real-time processing.

Description

Passive radar grouping LS-CLEAN Weak target detecting method
Technical field
What the present invention relates to is that a kind of GPS navigation satellite that utilizes is as the Weak target detecting method in the passive radar field in external radiation source.
Background technology
Passive radar is meant radar itself not electromagnetic signals and the radar of only using target emanation electromagnetic wave signal (external radiation source) to carry out target detection and tracking, and it has good " four resistance energy " and has low, disguised strong, the maneuverability advantages of higher of cost.The electromagnetic signal of target emanation may be the signal of target self emission, or the electromagnetic signal of third party's electromagnetic wave signal behind target reflection.Therefore, according to the target emanation type of signal source, passive radar can be divided into two classes: the one, utilize the passive radar of target self radiation source, and comprise the radiation source that target to be observed is self-contained, as electronic equipments such as radar, communication, answering machine, Active Jamming and navigation; The 2nd, utilize the third party to transmit through the passive radar of the signal of target reflection, this class emissive source comprises terrestrial broadcasting radio station, TV station, communication station, live telecast satellite and satellite navigation and location system etc.From radar system, its receiver is the strange land configuration with the transmitter that sends the external radiation source, so it also belongs to two (many) Ji Leida.
Have the advantage that a lot of traditional monostatic radars do not have based on gps signal as external radiation signal passive radar: (1) passive radar receiver is not owing to there is powerful device, and the influence that not leaked by transmitter power, thereby has higher sensitivity; (2) a plurality of operation of receiver can carry out passive location to interference source; (3) because sending and receiving split, and receiver is mourned in silence, also can be motor-driven, so system has the ability of anti-electronics investigation, the destruction of anti-interference and anti-antiradiation missile; (4) when receiver is preposition, can utilize irradiation source aerial, the space, can detect the following and deck-level target in far field of sight line of transmitter, anti-ultra-low altitude penetration ability is strong; (5) has anti-stealthy effect, because stealthy target only has minimum radar cross section (RCS) in ° scope of nose cone ± 30, and side direction and top scattering and diffraction do not reduce, and is also very strong, makes passive radar have good effect to the detection of stealthy target; (6) because self launching electromagnetic wave not, the passive radar system has disguise and emergentness, and the system survival ability is strong.
Core technology based on the passive radar of gps signal is passive relevant location technology, its basic thought be beyond radiation source emission the direct wave signal as a reference, the signal energy of check and analysis target reflection radiation source emission, estimate the parameters such as arrival direction, time of arrival and Doppler shift of target echo, thereby realize location and tracking target.Because gps satellite signal belongs to omnidirectional's continuous-wave radiation, the direct wave signal is very strong, exist multipath effect to make clutter stronger, and the echo of strong target also can disturb the detection of weak target echo greatly, need carry out therefore that clutter suppresses and signal Processing just can detect target to the non-co-operation signal that receives.
It is the guardian technique problem that the passive radar system is faced in signal Processing that undesired signal suppresses, the inhibition algorithm of taking at present mainly contains: (a) based on the interference nulling of the capable one-tenth of adaptive beam: ultimate principle is the amplitude and the phase place of regulating the bay weighting coefficient according to acceptance criteria automatically, make the cost function value minimum, make system reach optimum reception under this criterion, wherein to form be that two kinds of optimal beam that adaptive beam forms form devices for least mean-square error (MMSE) and linear restriction minimum variance (LCMV) criterion wave beam; (b) adopt adaptive filter algorithm to disturb inhibition; (c) direct wave based on subspace projection suppresses algorithm: this algorithm need not the required interference radiating way information of traditional adaptive disturbance null placing technique, also need not the reference channel in the sidelobe cancellation technology, but utilize the receiving end equivalent signal to construct the orthogonal intersection cast shadow matrix of direct wave subspace, carry out projection to received signal, disturb thereby suppress direct wave.
Summary of the invention
The object of the present invention is to provide and a kind ofly can suppress covering of direct wave interference, multipath interference, noise jamming, the strong target echo secondary lobe of elimination effectively, can detect the passive radar grouping LS-CLEAN Weak target detecting method of weak target echo.
The object of the present invention is achieved like this: with the average continuous grouping of all sampled points of radar reference signal, target echo signal, every group of echo signal be projected in respectively with this group disturb in the subspace of subspace quadrature, direct wave interference, multipath interference are effectively suppressed, echoed signal is carried out Doppler effect correction, further suppress the bridging effect of strong target secondary lobe iteratively, thereby accurately detect weak target, the LS-CLEAN method after the grouping can more efficiently inhibition be disturbed residue and strong target secondary lobe residue.
Receiving cable is divided into reference channel and target echo passage two parts in the system of the present invention, the direct signal of reference channel reception GPS navigation satellite as a reference, the target echo passage receives the signal of gps signal behind target reflection, also has direct wave interference, multipath interference and the strong target interference effect to weak target this moment.It is in the radar target passage that the present invention adopts the thought of the LS-CLEAN algorithm of grouping, and the signal errors quadratic sum minimum after make to disturb suppressing promptly makes the following formula minimum:
ξ = Σ i = i 1 i 2 | s exp ( i ) - s surv _ c ( i ) | 2 - - - ( 1 )
In the formula, ξ is for disturbing the signal errors quadratic sum after suppressing; || formula is represented the signal delivery; s ExpIt is the radar target channel signal of expectation; s Surv_cIt is the output signal of utilizing after the LS-CLEAN algorithm that divides into groups carries out preliminary direct wave and multipath interference inhibition; To t observing time 1t 2Sample, the corresponding sampling points scope is i 1i 2, i is traversal sample range i 1i 2Sampled point.
In reference channel, (R is interested range points number for the simple crosscorrelation of target echo signal and reference signal on R range points before obtaining is exported, value in the light of actual conditions), reference signal is observed (R-1) individual sampled point more, reference signal is expanded to (N+R-1) individual sampled point (wherein N is the sampled point number of target echo signal after sampling), the reference battle array that the signal that received by reference channel this moment constitutes is:
s ref=[s ref(-R+1),·,s ref(0),·,s ref(N-1)] T (2)
In the formula, s RefExpression is with reference to battle array; s Ref(i) be illustrated in the reference signal of i sampled point ,-R+1≤i≤N-1; [] TExpression is to transpose of a matrix.
Preceding K pending in reference channel time delay point handled (K is interested time delay point number, in the light of actual conditions value), and the time delay that structure has (K-1) individual time delay point with reference to battle array is:
S ref_d=[s ref,Ds ref,D 2s ref,·,D k-1s ref] (3)
In the formula, S Ref_dExpression has the time delay of (K-1) individual time delay point with reference to battle array; D is the time delay battle array, and its form is as follows:
Figure BDA0000038282670000031
In the formula, d IjBe positioned at the element of the capable j row of i among the expression time delay battle array D.
The time delay reference signal is constructed each different Doppler shifts, and time delay-Doppler of this moment with reference to battle array is:
S ref_df=[F -pS ref_d,·,F -1S ref_d,F 0S ref_d,F 1S ref_d,·,F pS ref_d] (5)
In the formula, S Ref_dfFor having (K-1) individual time delay point, (2p+1) time delay-Doppler of individual Doppler shift point is with reference to battle array; F pBe the Doppler shift battle array (p is interested Doppler shift point number, in the light of actual conditions value) of p Doppler shift point, as follows:
F p = 1 0 · 0 0 e j 2 πp · 0 · · · · 0 0 · e j 2 πp ( N + R - 1 ) - - - ( 6 )
For will prolong-Doppler is with reference to the signal association of battle array and target echo passage output, utilize incidence matrix B to will prolong-Doppler handles with reference to battle array and obtains data battle array A, be shown below:
A=BS ref_df (7)
In the formula, B is an incidence matrix, is shown below:
Figure BDA0000038282670000033
In the formula, b IjFor being positioned at the element of the capable j row of i among the incidence matrix B.
The column vector of data battle array A is constituted the interference subspace of (2p+1) K dimension, utilize projection operator P with the radar target signal projection to the subspace of disturbing the subspace quadrature in, projection operator P is expressed as:
P=I-A(A HA) -1A H (9)
In the formula, A is a data matrix; A HHermitian matrix for A; () -1Be the inverse of a matrix matrix; I is and the unit matrix of A with dimension;
Received signal S with the radar target passage SurvProjection in the subspace of disturbing the subspace quadrature in, played purpose to direct wave disturbs and the multipath interference suppresses.With radar target signal in the subspace of disturbing the subspace quadrature is exactly to make the signal of itself and wanted signal error sum of squares minimum, and the radar target signal after tentatively suppressing is:
s surv_c=Ps surv=I-A(A HA) -1A Hs surv (10)
s Surv_cBe to target echo signal s SurvDirect wave disturb and multipath disturbs signal after suppressing, at this moment, the weak target echo is still because the bridging effect of strong target echo secondary lobe and not detectable, so will further remove the capture-effect of the strong target echo secondary lobe that has detected.
Pending reference signal and target echo signal are divided into continuous nb group, and every group sampling number is:
N b=N/n b (11)
In the formula, N bEvery group sampling number; N total sampling number when not dividing into groups; n bFor the number of grouping, it is carried out value according to actual conditions.
After signal carried out packet transaction, through disturbing the target echo signal s after suppressing Surv_cCan be expressed as:
S surv _ c = [ S ‾ surv _ c 0 T , S ‾ surv _ c 1 T , · , S ‾ surv _ c ( n b - 1 ) T ] T - - - ( 12 )
In the formula, [] TExpression is carried out transposition to matrix;
Figure BDA0000038282670000042
Expression is disturbed and is suppressed back i group (0≤i≤n b-1) radar target signal, its expression formula is as follows:
S ‾ surv _ ci = s ‾ survi - A ‾ i ( I - P ) s ‾ survi - - - ( 13 )
In the formula, After the signal that expression receives the radar target passage divided into groups, i organized (0≤i≤n b-1) target echo signal; After expression was divided into groups to data battle array A, i organized (0≤i≤n b-1) data battle array.
After signal carried out packet transaction, reference signal
Figure BDA0000038282670000046
Can be expressed as:
s ‾ refi = [ s ref ( iN b - R + 1 ) , s ref ( iN b - R ) , · , s ref ( ( i + 1 ) N b - 1 ) ] T - - - ( 14 )
In the formula, Reference signal after the expression grouping; I represents grouping serial number, i=0, and 1,, n b-1.
After signal carried out packet transaction, the radar target signal
Figure BDA0000038282670000049
Can be expressed as:
s ‾ survi = [ s surv ( iN b ) , s surv ( iN b + 1 ) , · , s surv ( ( i + 1 ) N b - 1 ) ] T - - - ( 15 )
In the formula,
Figure BDA00000382826700000411
Radar target signal after the expression grouping; I represents grouping serial number, i=0, and 1,, n b-1.
At first, to the s after the grouping Surv_cCarry out Doppler shift compensation (compensation method inferior do not do concrete research), the strong target peak secondary lobe of the matched filtering output terminal after the compensation is carried out iteration suppress.
Signal after the signal in the radar target passage being carried out direct wave, multipath, noise jamming suppresses and carrying out Doppler effect correction is output as C through matched filter InterThe capture-effect of strong target echo secondary lobe finally detects the weak target echoed signal according to by suppressing successively to weak order by force.When suppressing strong target echo capture-effect, the initialization process matrix S makes processing array be at initial time first:
S 0=C inter (16)
In the formula, S is a processing array, and following footnote is represented iterations, S 0Initial value for processing array; C InterBe matched filter output.
Carrying out the j time iteration when suppressing (iterations j should more than the target number), processing array S upgraded according to following principle:
S j+1(i=delay j-N,·,delay j+N)=S j(i=delay j-N,·,delay j+N)-m jC A (17)
In the formula, C ABe reference signal s RefAutocorrelation matrix; m j=max (| S j|) be S jMaximal value; Delay j=arg{max (| S j|) be the time delay of maximal value correspondence.
Through iterative processing, detected target echo signal is:
s wtj(i)=s wtj-1(i)+m jδ(i-delay i) (18)
In the formula, s Wtj-1Detected target echo when (i) being preceding (j-1) inferior iteration; I is the time delay of this moment; δ is an impulse response function.
The end condition of iteration is as follows: the energy to residual signal calculates, if it is near the noise level of expectation, then iteration finishes, the s of this moment WtBe the weak target that has detected; Otherwise, if far above noise level, illustrating, the residual signal energy still have target echo to exist, the weak target that then carries out next time detects processing.
Of the present invention in based on the passive radar detection system of GPS navigation satellite as the external radiation source, the method of utilizing the LS-CLEAN algorithm that divides into groups to carry out the weak target detection has following good effect and advantage: employing the method can suppress the direct wave interference effectively, multipath disturbs and noise jamming, can also eliminate the capture-effect of strong target echo secondary lobe effectively to the weak target echo, utilize the method to make and disturb and suppress the residue reduction, calculated amount is easy simultaneously, is fit to handle in real time.
Description of drawings
Fig. 1 is based on the passive radar system schematic of GPS navigation satellite as the external radiation source;
Fig. 2 is based on the passive radar packet signal processing procedure of GPS navigation satellite as the external radiation source;
Fig. 3 utilizes grouping LS-CLEAN method to carry out the enforcement block diagram of weak target testing process.
Embodiment
In conjunction with the accompanying drawings the present invention is further elaborated.As shown in Figure 1, belong to many bases passive radar detection system based on the GPS navigation satellite as the passive radar detection system in external radiation source, receive the radiofrequency signal of 4 GPS navigation satellites transmits at the passive radar receiver end, receiving system is divided into reference channel and radar target passage, is used for receiving the direct wave signal respectively and through the echoed signal of target reflection.
As shown in Figure 2, adopt the GPS receiver of standard in reference channel, the signal that receives carries out purification processes as the reference signal to it; In the radar target passage, that the signal that receives comprises is strong, echoed signal, direct wave interference, multipath interference, noise jamming and the noise etc. of weak target.At first it is amplified and filtering, being down-converted to intermediate frequency then handles, remove the navigation information that carries in the gps signal, utilize the LS-CLEAN method of grouping to carry out direct wave and clutter inhibition, signal and reference signal after suppressing are carried out matched filtering, at first carry out Doppler effect correction at the output terminal of matched filter, the bridging effect to weak target suppresses to strong target secondary lobe again, last coherent accumulation, CFAR are handled, and reach the purpose that detects weak target.
In conjunction with Fig. 3, it is as follows that the present invention utilizes grouping LS-CLEAN to carry out the process that weak target detects:
(1) at first utilize grouping LS-CLEAN method to carry out direct wave and clutter inhibition;
(2) target echo signal after reference signal after the grouping and the inhibition is carried out matched filtering;
(3) calculate peak value-secondary lobe than (PSLR), peak value-noise ratio (PNFR), range resolution, DOPPLER RESOLUTION;
(4) compare PSLR and PNFR, if PSLR<PNFR carry out step 5; Otherwise carry out step 9;
(5) permanent threshold processing;
(6) iteration is carried out strong target echo secondary lobe capture-effect inhibition;
(7) carry out matched filter processing;
(8) recomputate PNFR, carry out step 4 once more, itself and PSLR size are compared;
(9) CFAR is handled;
(10) draw testing result.
In the weak target processing procedure, at the matched filter output terminal, eliminate of the bridging effect of the secondary lobe of strong target to the weak target echo, effectively reduce the dump energy of disturbing after suppressing.

Claims (2)

1. passive radar grouping LS-CLEAN Weak target detecting method, it is characterized in that: with the radar reference signal, the average continuous grouping of all sampled points of target echo signal, every group of target echo signal be projected in respectively with this group disturb in the subspace of subspace quadrature, direct wave is disturbed, multipath disturbs and effectively suppresses, echoed signal is carried out Doppler effect correction, suppress of the bridging effect of strong target secondary lobe iteratively to the weak target echo, residual signal energy after the computing, when the residual signal energy is suitable with noise level, stop iteration, signal to this moment carries out the CFAR processing, detects weak target.
2. passive radar grouping LS-CLEAN Weak target detecting method according to claim 1 is characterized in that specifically comprising the steps:
(1) at first utilize grouping LS-CLEAN method to carry out direct wave and clutter inhibition;
(2) target echo signal after reference signal after the grouping and the inhibition is carried out matched filtering;
(3) calculating peak value-secondary lobe ratio is that PSLR, peak value-noise ratio are PNFR, range resolution, DOPPLER RESOLUTION;
(4) compare PSLR and PNFR, if PSLR<PNFR carry out step 5; Otherwise carry out step 9;
(5) permanent threshold processing;
(6) iteration is carried out strong target echo secondary lobe capture-effect inhibition;
(7) carry out matched filter processing;
(8) recomputate PNFR, carry out step 4 once more, itself and PSLR size are compared;
(9) CFAR is handled;
(10) draw testing result.
CN 201010588132 2010-12-15 2010-12-15 Passive radar grouping LS-CLEAN weak target detection method Pending CN102087354A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN 201010588132 CN102087354A (en) 2010-12-15 2010-12-15 Passive radar grouping LS-CLEAN weak target detection method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN 201010588132 CN102087354A (en) 2010-12-15 2010-12-15 Passive radar grouping LS-CLEAN weak target detection method

Publications (1)

Publication Number Publication Date
CN102087354A true CN102087354A (en) 2011-06-08

Family

ID=44099247

Family Applications (1)

Application Number Title Priority Date Filing Date
CN 201010588132 Pending CN102087354A (en) 2010-12-15 2010-12-15 Passive radar grouping LS-CLEAN weak target detection method

Country Status (1)

Country Link
CN (1) CN102087354A (en)

Cited By (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102353947A (en) * 2011-07-08 2012-02-15 哈尔滨工程大学 Method for estimating target echo signal subspaces of passive radars based on CSA-MWF (correlation subtraction algorithm-multistage wiener filter)
CN102830440A (en) * 2012-09-04 2012-12-19 宁波大学 Indoor human body detection method
CN104267414A (en) * 2014-10-10 2015-01-07 北京航空航天大学 Subspace cross-correlation interference eliminating method based on Doppler frequency difference attenuation factor
CN104793197A (en) * 2015-04-29 2015-07-22 北京航空航天大学 Direct-wave suppression method based on IFFT frequency spectrum division method and gradient adaptive lattice filter
CN104914410A (en) * 2015-04-16 2015-09-16 河海大学 Clutter channel blind identification method suitable for passive bistatic system
CN105866750A (en) * 2016-05-23 2016-08-17 西安电子科技大学 Method for detecting multiple GPS (global positioning system) satellite weak echo signals
CN106199546A (en) * 2016-06-30 2016-12-07 西安电子科技大学 Direct-path signal method of purification based on external illuminators-based radar
CN108120984A (en) * 2016-11-30 2018-06-05 通用汽车环球科技运作有限责任公司 For jointly differentiating the method for jamming target in multiple dimensions
CN108646238A (en) * 2018-03-06 2018-10-12 中国船舶重工集团公司第七二四研究所 A kind of interference source tracking based on sidelobe cancellation coefficient mapping
CN109997054A (en) * 2016-12-05 2019-07-09 追踪者有限责任公司 For using radar data and Imager data to track the devices, systems, and methods of object
CN110246155A (en) * 2019-05-17 2019-09-17 华中科技大学 One kind being based on the alternate anti-shelter target tracking of model and system
CN110632592A (en) * 2019-09-27 2019-12-31 湖南华诺星空电子技术有限公司 False alarm eliminating method for handheld through-wall radar
CN111025256A (en) * 2019-12-26 2020-04-17 湖南华诺星空电子技术有限公司 Method and system for detecting weak vital sign signals of airborne radar
CN111095015A (en) * 2017-09-12 2020-05-01 森兹达信技术有限公司 Method and system for detecting a target by a passive radar system utilizing a per-carrier multichannel illuminator source
CN111123252A (en) * 2019-12-27 2020-05-08 中国人民解放军空军预警学院 Parameter adjustable direction detection method during signal mismatching in clutter environment

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2010051859A1 (en) * 2008-11-10 2010-05-14 Telefonaktiebolaget L M Ericsson (Publ) Passive radar signal enhancement
CN101819277A (en) * 2010-01-22 2010-09-01 中国民航大学 GPS (Global Position System) interference suppression method based on single channel single delay mutual-correlation processing

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2010051859A1 (en) * 2008-11-10 2010-05-14 Telefonaktiebolaget L M Ericsson (Publ) Passive radar signal enhancement
CN101819277A (en) * 2010-01-22 2010-09-01 中国民航大学 GPS (Global Position System) interference suppression method based on single channel single delay mutual-correlation processing

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
《IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS》 20090430 F. COLONE等 A Multistage Processing Algorithm for Disturbance Removal and Target Detection in Passive Bistatic Radar 第699-709页,图1、图14 1-2 第45卷, 第2期 *
《IEEE TRANSACTIONS ON SIGNAL PROCESSING》 20071231 Yu T. Morton等 GPS Civil Signal Self-Interference Mitigation During Weak Signal Acquisition 第5860页至5861页,图3 1-2 第55卷, 第12期 *
《军事通信技术》 20090930 王桁 外辐射源雷达的杂波抑制技术研究 第80-85页 1-2 第30卷, 第3期 *

Cited By (23)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102353947B (en) * 2011-07-08 2013-07-31 哈尔滨工程大学 Method for estimating target echo signal subspaces of passive radars based on CSA-MWF (correlation subtraction algorithm-multistage wiener filter)
CN102353947A (en) * 2011-07-08 2012-02-15 哈尔滨工程大学 Method for estimating target echo signal subspaces of passive radars based on CSA-MWF (correlation subtraction algorithm-multistage wiener filter)
CN102830440A (en) * 2012-09-04 2012-12-19 宁波大学 Indoor human body detection method
CN104267414A (en) * 2014-10-10 2015-01-07 北京航空航天大学 Subspace cross-correlation interference eliminating method based on Doppler frequency difference attenuation factor
CN104914410A (en) * 2015-04-16 2015-09-16 河海大学 Clutter channel blind identification method suitable for passive bistatic system
CN104914410B (en) * 2015-04-16 2017-12-01 河海大学 A kind of clutter channel blind discrimination method suitable for passive bistatic system
CN104793197A (en) * 2015-04-29 2015-07-22 北京航空航天大学 Direct-wave suppression method based on IFFT frequency spectrum division method and gradient adaptive lattice filter
CN104793197B (en) * 2015-04-29 2017-04-26 北京航空航天大学 Direct-wave suppression method based on IFFT frequency spectrum division method and gradient adaptive lattice filter
CN105866750A (en) * 2016-05-23 2016-08-17 西安电子科技大学 Method for detecting multiple GPS (global positioning system) satellite weak echo signals
CN106199546B (en) * 2016-06-30 2019-01-11 西安电子科技大学 Direct-path signal method of purification based on external illuminators-based radar
CN106199546A (en) * 2016-06-30 2016-12-07 西安电子科技大学 Direct-path signal method of purification based on external illuminators-based radar
CN108120984A (en) * 2016-11-30 2018-06-05 通用汽车环球科技运作有限责任公司 For jointly differentiating the method for jamming target in multiple dimensions
CN109997054A (en) * 2016-12-05 2019-07-09 追踪者有限责任公司 For using radar data and Imager data to track the devices, systems, and methods of object
CN109997054B (en) * 2016-12-05 2024-01-23 轨迹人有限责任公司 Apparatus, system, and method for tracking an object using radar data and imager data
CN111095015A (en) * 2017-09-12 2020-05-01 森兹达信技术有限公司 Method and system for detecting a target by a passive radar system utilizing a per-carrier multichannel illuminator source
CN111095015B (en) * 2017-09-12 2023-08-11 森兹达信技术有限公司 Method and system for detecting an object by a passive radar system utilizing a per-carrier multi-channel illuminator source
CN108646238A (en) * 2018-03-06 2018-10-12 中国船舶重工集团公司第七二四研究所 A kind of interference source tracking based on sidelobe cancellation coefficient mapping
CN110246155A (en) * 2019-05-17 2019-09-17 华中科技大学 One kind being based on the alternate anti-shelter target tracking of model and system
CN110246155B (en) * 2019-05-17 2021-05-18 华中科技大学 Anti-occlusion target tracking method and system based on model alternation
CN110632592A (en) * 2019-09-27 2019-12-31 湖南华诺星空电子技术有限公司 False alarm eliminating method for handheld through-wall radar
CN111025256A (en) * 2019-12-26 2020-04-17 湖南华诺星空电子技术有限公司 Method and system for detecting weak vital sign signals of airborne radar
CN111123252A (en) * 2019-12-27 2020-05-08 中国人民解放军空军预警学院 Parameter adjustable direction detection method during signal mismatching in clutter environment
CN111123252B (en) * 2019-12-27 2022-04-05 中国人民解放军空军预警学院 Extended target detection method during signal mismatching in clutter environment

Similar Documents

Publication Publication Date Title
CN102033227B (en) Weak target detection method for passive radar taking global positioning system (GPS) navigation satellite as external radiation source
CN102087354A (en) Passive radar grouping LS-CLEAN weak target detection method
Magiera et al. Detection and mitigation of GPS spoofing based on antenna array processing
Daneshmand et al. A low-complexity GPS anti-spoofing method using a multi-antenna array
US7250903B1 (en) GPS spoofer and repeater mitigation system using digital spatial nulling
US9207313B2 (en) MIMO angle estimation with simultaneous mainlobe jammer cancellation
CN102156279B (en) Method for detecting moving target on ground by utilizing bistatic radar based on MIMO (Multiple Input Multiple Output)
Glennon et al. Feasibility of air target detection using GPS as a bistatic radar
CN101533091B (en) Space-time two-dimensional narrow band barrage jamming method
US20060181451A1 (en) System and method for combining displaced phase center antenna and space-time adaptive processing techniques to enhance clutter suppression in radar on moving platforms
CN103941267A (en) Satellite navigation deception interference suppression method combined with denoising and DOA estimation
KR102345820B1 (en) Beam forming anti-jamming processing apparatus capable of eliminating spoofing signal using array antenna
CN106054144A (en) Main lobe oppressive interference suppression method based on frequency diversity MIMO radar
Konovaltsev et al. Autonomous spoofing detection and mitigation with a miniaturized adaptive antenna array
CN105510887A (en) Method for inhibiting active suppressing jamming to airborne radar under clutter background
CN102353947A (en) Method for estimating target echo signal subspaces of passive radars based on CSA-MWF (correlation subtraction algorithm-multistage wiener filter)
Park et al. Maximum‐likelihood angle estimator for multi‐channel FM‐radio‐based passive coherent location
Cabrera et al. Detecting drones and human beings with DVB-S based COTS passive radar for short-range surveillance
CN104391305A (en) Satellite navigation deception interference suppression method based on deception interference DOA estimation
CN103728596A (en) Method for inhibiting distributed interference of bi-static MIMO radar
CN110208757A (en) A kind of robust adaptive beamforming method and device inhibiting major lobe suppression
Qiao et al. A survey of GNSS interference monitoring technologies
CN104101868A (en) Jamming subspace reconstruction-based radar multi-false target jamming suppression method
CN103605115A (en) Active main lobe interference resisting method based on networked radar array synthesis
Hu et al. Weak target detection method of passive bistatic radar based on probability histogram

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C02 Deemed withdrawal of patent application after publication (patent law 2001)
WD01 Invention patent application deemed withdrawn after publication

Application publication date: 20110608