CN103760531A - Method for restraining noise of aerial target echoes of narrow-band radar - Google Patents

Method for restraining noise of aerial target echoes of narrow-band radar Download PDF

Info

Publication number
CN103760531A
CN103760531A CN201410032365.2A CN201410032365A CN103760531A CN 103760531 A CN103760531 A CN 103760531A CN 201410032365 A CN201410032365 A CN 201410032365A CN 103760531 A CN103760531 A CN 103760531A
Authority
CN
China
Prior art keywords
matrix
aerial target
signal
noise
narrow
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.)
Granted
Application number
CN201410032365.2A
Other languages
Chinese (zh)
Other versions
CN103760531B (en
Inventor
杜兰
王宝帅
王鹏辉
刘宏伟
纠博
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.)
Xidian University
Original Assignee
Xidian 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 Xidian University filed Critical Xidian University
Priority to CN201410032365.2A priority Critical patent/CN103760531B/en
Publication of CN103760531A publication Critical patent/CN103760531A/en
Application granted granted Critical
Publication of CN103760531B publication Critical patent/CN103760531B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S7/00Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
    • G01S7/02Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
    • G01S7/28Details of pulse systems
    • G01S7/285Receivers
    • G01S7/292Extracting wanted echo-signals
    • G01S7/2923Extracting wanted echo-signals based on data belonging to a number of consecutive radar periods
    • G01S7/2928Random or non-synchronous interference pulse cancellers

Landscapes

  • Engineering & Computer Science (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Radar Systems Or Details Thereof (AREA)

Abstract

The invention belongs to the technical field of restraining of noise of aerial target echoes of narrow-band radar and discloses a method for restraining the noise of the aerial target echoes of the narrow-band radar. The method comprises the steps that the narrow-band radar receives an aerial target echo signal and conducts sliding window processing on the aerial target echo signal, and then a post-sliding window processing matrix is obtained; the average power M of a noise signal in a time domain is estimated; an autocorrelation matrix R of the post-sliding window processing matrix E is obtained; the feature vectors of the R are calculated; a feature vector matrix U is formed by the feature vectors of the R; a noise threshold thresh _ Alpha is set and then is subtracted from Lambda r; if Lambda (r-1) - thresh _ Alpha > 0 and Lambda r - thresh _ Alpha < 0 when the value of r is P, a matrix Us is formed by the first P columns of the U; please see the specification for the expression of Es; the aerial target echo signal x which is processed with noise restraining is obtained according to elements of the first column of the matrix Es and elements of the last row of the matrix Es.

Description

A kind of noise suppressing method of aerial target echo of Narrow-band Radar
Technical field
The invention belongs to the noise reduction techniques field of Narrow-band Radar aerial target echo, particularly a kind of noise suppressing method of aerial target echo of Narrow-band Radar.
Background technology
In modern war, due to the needs of combat duty and environment, helicopter, propeller aeroplane and jet plane are being born different tasks, and the threaten degree having is different, therefore realizes the detection of this three classes Aircraft Targets is had very important significance.
So far, in the noise suppressing method of existing aerial target echo, conventionally use training data and test data, and the signal to noise ratio (S/N ratio) condition of training data and test data is more or less the same.But in actual conditions, training data is all by some cooperative experiments or the high s/n ratio data obtained by emulation conventionally; Yet test data is in most cases all obtained under some noncooperative conditions, for example, in war process, the distance of the complex environment in battlefield, weather conditions and target range radar all can cause the difference of noise intensity in test data.Like this, bring certain difficulty will to the squelch of aerial target echo.
Summary of the invention
The object of the invention is to propose a kind of noise suppressing method of aerial target echo of Narrow-band Radar.The noise suppressing method of the aerial target echo of this Narrow-band Radar can carry out squelch effectively to aerial target echo, can be used for Narrow-band Radar aerial target echo to carry out pre-service.
For realizing above-mentioned technical purpose, the present invention adopts following technical scheme to be achieved.
A noise suppressing method for the aerial target echo of Narrow-band Radar, comprises the following steps:
S1: described Narrow-band Radar receives the echoed signal of aerial target, the pulse accumulation number of the echoed signal of described aerial target is N, and the echoed signal of described aerial target is carried out to slide window processing, window length is
Figure BDA0000461040900000021
draw matrix E after slide window processing,
Figure BDA0000461040900000022
represent that N/2 rounds downwards; The average power M of estimated noise signal in time domain;
S2: draw the autocorrelation matrix R of matrix E after slide window processing,
Figure BDA0000461040900000023
wherein, E hthe complex-conjugate transpose matrix that represents E; Then eigenwert and the proper vector of calculating R, the eigenwert of R is followed successively by λ from big to small 1extremely
Figure BDA0000461040900000024
with the proper vector composition characteristic vector matrix U of R, the r of U classifies the r proper vector u of R as r, r get 1 to
Figure BDA0000461040900000025
u rfor with λ rcharacteristic of correspondence vector;
S3: noise gate thresh_ α is set, uses λ rdeduct thresh_ α; When if r gets P, λ r-1-thresh_ α >0, λ r-thresh_ α <0, forms matrix U with the front P row of U s;
S4: structural matrix E s,
Figure BDA0000461040900000026
extract matrix E smiddle first row element is as column vector e 1, at matrix E sin the element of middle last column, extract secondary series to the element of last row as row vector
Figure BDA0000461040900000027
draw the echoed signal x of the aerial target after squelch is processed,
Figure BDA0000461040900000028
Feature of the present invention and further improvement are:
In step S1, the echoed signal of the aerial target that described Narrow-band Radar receives is expressed as matrix S, S=[S 1..., S n] t, wherein, S kthe echoed signal of aerial target is at k signal constantly, and k gets 1 to N; Matrix after slide window processing
Figure BDA0000461040900000029
wherein,
Figure BDA00004610409000000210
for matrix S is carried out the signal obtaining after the L time slide window processing,
Figure BDA00004610409000000211
l get 1 to
Figure BDA00004610409000000212
In step S1, the echoed signal of described aerial target is carried out to discrete Fourier transformation, the echoed signal that makes described aerial target is frequency-region signal, according to described frequency-region signal, the average power of estimated noise signal in frequency domain; Then by described noise signal, the average power in frequency domain is counted divided by discrete Fourier transformation, draws the average power M of noise signal in time domain.
In step S3,
Figure BDA0000461040900000031
represent that the card side that degree of freedom is 2 is distributed in the upside fractile on horizontal α.
Beneficial effect of the present invention is: the noise suppressing method of the aerial target echo of Narrow-band Radar of the present invention can carry out squelch effectively to aerial target echo, can be used for Narrow-band Radar aerial target echo to carry out pre-service.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet of noise suppressing method of aerial target echo of a kind of Narrow-band Radar of the embodiment of the present invention;
The Doppler frequency spectrum schematic diagram that Fig. 2 a is jet plane when Noise not;
Fig. 2 b is the Doppler frequency spectrum schematic diagram of jet plane when Noise;
Fig. 2 c is the Doppler frequency spectrum schematic diagram of jet plane after using the present invention to suppress noise signal;
The Doppler frequency spectrum schematic diagram that Fig. 3 a is propeller aeroplane when Noise not;
Fig. 3 b is the Doppler frequency spectrum schematic diagram of propeller aeroplane when Noise;
Fig. 3 c is for being used the present invention noise signal to be suppressed to the Doppler frequency spectrum schematic diagram of rear screw shaft aircraft;
The Doppler frequency spectrum schematic diagram that Fig. 4 a is helicopter when Noise not;
Fig. 4 b is the Doppler frequency spectrum schematic diagram of helicopter when Noise;
Fig. 4 c is the Doppler frequency spectrum schematic diagram of helicopter after using the present invention to suppress noise signal;
Fig. 5 be under different threshold condition average reconstructed error with the robustness curve synoptic diagram of signal to noise ratio (S/N ratio).
Embodiment
Below in conjunction with accompanying drawing, the invention will be further described:
With reference to Fig. 1, it is the schematic flow sheet of the noise suppressing method of the aerial target echo of a kind of Narrow-band Radar of the embodiment of the present invention.The noise suppressing method of the aerial target echo of this Narrow-band Radar comprises the following steps:
S1: by sliding window method, process the echoed signal of the aerial target of Narrow-band Radar reception, and the average power of estimated noise signal in time domain.Detailed process is as follows:
Narrow-band Radar receives the echoed signal of aerial target, and the echoed signal of the aerial target that for example Narrow-band Radar receives is Low SNR signal.The echoed signal of the aerial target that Narrow-band Radar is received is expressed as matrix S, S=[S 1..., S n] t, wherein, S kthe echoed signal of aerial target is at k signal constantly, and k gets 1 to N, the pulse accumulation number of the echoed signal that N is aerial target.
The echoed signal of above-mentioned aerial target is carried out to slide window processing, draw matrix E after slide window processing; Window length is
Figure BDA0000461040900000041
draw matrix E after slide window processing, represent that N/2 rounds downwards; Matrix after slide window processing
Figure BDA0000461040900000043
wherein,
Figure BDA0000461040900000044
for matrix S is carried out the signal obtaining after the L time slide window processing,
Figure BDA0000461040900000045
l get 1 to
Figure BDA0000461040900000046
[.] tthe transposition of representing matrix.
The echoed signal of above-mentioned aerial target is carried out to discrete Fourier transformation, the echoed signal that makes above-mentioned aerial target is frequency-region signal, according to above-mentioned frequency-region signal, estimate the average power of corresponding noise signal in frequency domain, above-mentioned noise signal is arranged in the echoed signal of above-mentioned aerial target.Average power by above-mentioned noise signal in frequency domain is counted divided by discrete Fourier transformation, draws the average power M of noise signal in time domain, M=σ 2.
S2: draw the autocorrelation matrix of matrix after slide window processing, and draw eigenwert and the proper vector of this autocorrelation matrix.Its detailed process is as follows:
First according to matrix E after slide window processing, draw the autocorrelation matrix R of matrix E after slide window processing,
Figure BDA0000461040900000047
wherein, E hcomplex-conjugate transpose matrix for E.Then autocorrelation matrix R is made to Eigenvalues Decomposition, draw eigenwert and the proper vector of this autocorrelation matrix R.The eigenwert of autocorrelation matrix R is followed successively by λ from big to small 1extremely
Figure BDA0000461040900000048
now,
Figure BDA0000461040900000049
also can be expressed as
Figure BDA0000461040900000051
c and d all get 1 to
Figure BDA0000461040900000052
and c>d.
The proper vector composition characteristic vector matrix U of autocorrelation matrix R,
Figure BDA0000461040900000053
the columns of U is
Figure BDA0000461040900000054
the r of U classifies the r proper vector u of R as r, r get 1 to
Figure BDA0000461040900000055
u rfor with λ rcharacteristic of correspondence vector.Now can also draw characteristic of correspondence value matrix Λ,
Figure BDA0000461040900000056
S3: noise gate is set, and determines the number of principal component according to this noise gate.Its detailed process is as follows:
First noise gate thresh_ α is set, and noise gate thresh_ α can take various ways, for example
Figure BDA0000461040900000057
the upside fractile that the card side that expression degree of freedom is 2 is distributed on horizontal α (is χ 2(2) the upside fractile on horizontal α).The following describes thresh_ α is set to
Figure BDA0000461040900000058
reason: suppose the real part of above-mentioned noise signal and the Gaussian distribution that imaginary part is all obeyed zero-mean, w=w 1+ jw 2, wherein, w 1for the real part of above-mentioned noise signal, w 2imaginary part for above-mentioned noise signal.? w 1 ~ N ( 0 , &sigma; 2 2 ) , w 2 ~ N ( 0 , &sigma; 2 2 ) , After deriving, can draw:
w 1 2 + w 2 2 &sigma; 2 / 2 ~ &chi; 2 ( 2 )
P ( w 1 2 + w 2 2 &sigma; 2 / 2 > w ) = &alpha;
w 1 2 + w 2 2 = &sigma; 2 2 &chi; &alpha; 2 ( 2 )
Hence one can see that, and above-mentioned noise signal is obeyed the χ that degree of freedom is 2 2(2) distribute, according to χ 2(2) distribute that noise gate thresh_ α is set is comparatively reasonable.
Then, use successively λ 1extremely deduct thresh_ α, until draw an eigenvalue λ that is less than thresh_ α p, i.e. λ p-1-thresh_ α >0, λ p-thresh_ α <0, like this, the number that P is principal component (or signal subspace dimension).
Then, with the front P row of U, form matrix U s, U s=[u 1..., u p].
S4: draw the echoed signal (namely signal being projected to signal subspace) of the aerial target after squelch is processed, its detailed process is as follows:
Structural matrix E s,
Figure BDA0000461040900000061
for U sassociate matrix.
Figure BDA0000461040900000062
Wherein, e ijfor matrix E sthe element of the capable j of i row, i get 1 to
Figure BDA0000461040900000063
j get 1 to
Figure BDA0000461040900000064
Extract matrix E smiddle first row element is as column vector e 1, at matrix E sin the element of middle last column, extract secondary series to the element of last row as row vector
Figure BDA0000461040900000066
Figure BDA0000461040900000067
according to column vector e 1and row vector
Figure BDA0000461040900000068
draw the echoed signal x of the aerial target after squelch is processed,
Figure BDA0000461040900000069
Below by emulation experiment, the invention will be further described:
The noisy measured signal of helicopter, propeller aeroplane and jet plane that in emulation experiment, packet used receives containing conventional Narrow-band Radar.In emulation experiment, use the present invention to carry out squelch to the echoed signal of above-mentioned three class aircrafts, wherein, and when noise gate is set, α=0.10 or α=0.01.After use the present invention carries out squelch to the echoed signal of above-mentioned three class aircrafts, calculate the average reconstructed error of all samples.With reference to Fig. 2 a, for the Doppler frequency spectrum schematic diagram of jet plane when the Noise not, with reference to Fig. 2 b, be the Doppler frequency spectrum schematic diagram of jet plane when the Noise, with reference to Fig. 2 c, it is the Doppler frequency spectrum schematic diagram of jet plane after using the present invention to suppress noise signal; With reference to Fig. 3 a, for the Doppler frequency spectrum schematic diagram of propeller aeroplane when the Noise not, with reference to Fig. 3 b, be the Doppler frequency spectrum schematic diagram of propeller aeroplane when the Noise, with reference to Fig. 3 c, for using the present invention noise signal to be suppressed to the Doppler frequency spectrum schematic diagram of rear screw shaft aircraft; With reference to Fig. 4 a, for the Doppler frequency spectrum schematic diagram of helicopter when the Noise not, with reference to Fig. 4 b, be the Doppler frequency spectrum schematic diagram of helicopter when the Noise, with reference to Fig. 4 c, it is the Doppler frequency spectrum schematic diagram of helicopter after using the present invention to suppress noise signal.From above-mentioned figure, can find out: the noise suppressing method of the aerial target echo by Narrow-band Radar of the present invention, can suppress preferably to the noise containing in the echoed signal of above-mentioned three class aircrafts.
With reference to Fig. 5, for average reconstructed error under different threshold condition is with the robustness curve synoptic diagram of signal to noise ratio (S/N ratio).In Fig. 5, the α of thresholding 1 correspondence is 0.10, and the α of thresholding 2 correspondences is 0.01.As can be seen from Figure 5, utilize the signal after squelch is processed that the present invention obtains more close to Noise signal not, average reconstructed error is less., from Fig. 5, it can also be seen that, the selection of thresholding is larger on result impact meanwhile, therefore, when the method for using the present invention to introduce, select suitable thresholding just can obtain more desirable result.
Obviously, those skilled in the art can carry out various changes and modification and not depart from the spirit and scope of the present invention the present invention.Like this, if within of the present invention these are revised and modification belongs to the scope of the claims in the present invention and equivalent technologies thereof, the present invention is also intended to comprise these changes and modification interior.

Claims (4)

1. a noise suppressing method for the aerial target echo of Narrow-band Radar, is characterized in that, comprises the following steps:
S1: described Narrow-band Radar receives the echoed signal of aerial target, the pulse accumulation number of the echoed signal of described aerial target is N, and the echoed signal of described aerial target is carried out to slide window processing, window length is draw matrix E after slide window processing,
Figure FDA0000461040890000012
represent that N/2 rounds downwards; The average power M of estimated noise signal in time domain;
S2: draw the autocorrelation matrix R of matrix E after slide window processing,
Figure FDA0000461040890000013
wherein, E hthe complex-conjugate transpose matrix that represents E; Then eigenwert and the proper vector of calculating R, the eigenwert of R is followed successively by λ from big to small 1extremely
Figure FDA0000461040890000014
with the proper vector composition characteristic vector matrix U of R, the r of U classifies the r proper vector u of R as r, r get 1 to u rfor with λ rcharacteristic of correspondence vector;
S3: noise gate thresh_ α is set, uses λ rdeduct thresh_ α; When if r gets P, λ r-1-thresh_ α >0, λ r-thresh_ α <0, forms matrix U with the front P row of U s;
S4: structural matrix E s,
Figure FDA0000461040890000016
extract matrix E smiddle first row element is as column vector e 1, at matrix E sin the element of middle last column, extract secondary series to the element of last row as row vector
Figure FDA0000461040890000017
draw the echoed signal x of the aerial target after squelch is processed,
Figure FDA0000461040890000018
2. the noise suppressing method of the aerial target echo of a kind of Narrow-band Radar as claimed in claim 1, is characterized in that, in step S1, the echoed signal of the aerial target that described Narrow-band Radar receives is expressed as matrix S, S=[S 1..., S n] t, wherein, S kthe echoed signal of aerial target is at k signal constantly, and k gets 1 to N; Matrix after slide window processing
Figure FDA0000461040890000019
wherein,
Figure FDA00004610408900000110
for matrix S is carried out the signal obtaining after the L time slide window processing,
Figure FDA0000461040890000021
l get 1 to
3. the noise suppressing method of the aerial target echo of a kind of Narrow-band Radar as claimed in claim 1, it is characterized in that, in step S1, the echoed signal of described aerial target is carried out to discrete Fourier transformation, the echoed signal that makes described aerial target is frequency-region signal, according to described frequency-region signal, the average power of estimated noise signal in frequency domain; Then by described noise signal, the average power in frequency domain is counted divided by discrete Fourier transformation, draws the average power M of noise signal in time domain.
4. the noise suppressing method of the aerial target echo of a kind of Narrow-band Radar as claimed in claim 1, is characterized in that, in step S3,
Figure FDA0000461040890000023
represent that the card side that degree of freedom is 2 is distributed in the upside fractile on horizontal α.
CN201410032365.2A 2014-01-23 2014-01-23 A kind of noise suppressing method of aerial target echo of Narrow-band Radar Active CN103760531B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201410032365.2A CN103760531B (en) 2014-01-23 2014-01-23 A kind of noise suppressing method of aerial target echo of Narrow-band Radar

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201410032365.2A CN103760531B (en) 2014-01-23 2014-01-23 A kind of noise suppressing method of aerial target echo of Narrow-band Radar

Publications (2)

Publication Number Publication Date
CN103760531A true CN103760531A (en) 2014-04-30
CN103760531B CN103760531B (en) 2016-01-20

Family

ID=50527798

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201410032365.2A Active CN103760531B (en) 2014-01-23 2014-01-23 A kind of noise suppressing method of aerial target echo of Narrow-band Radar

Country Status (1)

Country Link
CN (1) CN103760531B (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109655794A (en) * 2018-11-14 2019-04-19 上海无线电设备研究所 A kind of detection recognition method of narrowband self-defence noise jamming
CN115877342A (en) * 2023-01-09 2023-03-31 北京海兰信数据科技股份有限公司 Method, device and equipment for determining target object

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2003079045A2 (en) * 2002-03-13 2003-09-25 Raytheon Canada Limited System and method for spectral generation in radar
CN102608598A (en) * 2012-03-19 2012-07-25 西安电子科技大学 Method for imaging actual aperture foresight on basis of subspace projection
CN103412287A (en) * 2013-09-01 2013-11-27 西安电子科技大学 Linear frequency modulation signal parameter evaluation method based on LVD (Lv's distribution)

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2003079045A2 (en) * 2002-03-13 2003-09-25 Raytheon Canada Limited System and method for spectral generation in radar
CN102608598A (en) * 2012-03-19 2012-07-25 西安电子科技大学 Method for imaging actual aperture foresight on basis of subspace projection
CN103412287A (en) * 2013-09-01 2013-11-27 西安电子科技大学 Linear frequency modulation signal parameter evaluation method based on LVD (Lv's distribution)

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
F. COLONE等: "Cancellation of clutter and multipath in passive radar using a sequential approach", 《RADAR, 2006 IEEE CONFERENCE ON》 *
田光明等: "基于Wigner分布时频遮隔的信号分解算法", 《电子学报》 *

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109655794A (en) * 2018-11-14 2019-04-19 上海无线电设备研究所 A kind of detection recognition method of narrowband self-defence noise jamming
CN109655794B (en) * 2018-11-14 2020-09-08 上海无线电设备研究所 Detection and identification method for suppressing interference by narrow-band self-defense noise
CN115877342A (en) * 2023-01-09 2023-03-31 北京海兰信数据科技股份有限公司 Method, device and equipment for determining target object
CN115877342B (en) * 2023-01-09 2023-08-18 江苏途索海洋技术服务有限公司 Target object determination method, device and equipment

Also Published As

Publication number Publication date
CN103760531B (en) 2016-01-20

Similar Documents

Publication Publication Date Title
CN110412559B (en) Non-coherent fusion target detection method for MIMO radar of distributed unmanned aerial vehicle
Gierull et al. Two-step detector for RADARSAT-2's experimental GMTI mode
CN104237883B (en) Airborne radar space time self-adaptation processing method with sparse representation
US20210208270A1 (en) Robust Constant False Alarm Rate (CFAR) Detector for Interference-Plus-Noise Covariance Matrix Mismatch
EP2533069A1 (en) Signal processing unit and method
Fischer et al. Robust detection and mitigation of mutual interference in automotive radar
CN102288949B (en) Optimal processor based maneuvering target detection method
US9188666B2 (en) System and method for distribution free target detection in a dependent non-Gaussian background
CN105652246A (en) Main lobe interference resisting method of radar based on blind source separation
CN105223557B (en) Airborne early warning radar clutter suppression method based on accessory channel
CN102608587B (en) Air mobile target detection method based on nonlinear least square
CN103412290A (en) Knowledge-assisted APR non-uniform sample detection method
CN105116388A (en) Skywave over-the-horizon radar transient interference suppression method based on robust principal component analysis
CN107632291A (en) A kind of method based on the anti-corner reflector interference of polarimetric radar
CN105738887A (en) Airborne radar clutter power spectrum optimization method based on Doppler channel division
CN104793194A (en) Distance-Doppler estimation method based on improved adaptive multi-pulse compression
CN112014806A (en) Method for suppressing unintentional interference of airborne radar in complex interference scene
CN106772275A (en) A kind of low-rank matrix based on Alpha Stable distritations recovers detection method
CN111007487B (en) Multi-base radar target detection method based on time reversal
CN102621536A (en) RELAX-based air multi-maneuvering target detecting and parameter estimating method
Searle et al. Cancelling strong Doppler shifted returns in OFDM based passive radar
CN106249209A (en) A kind of adaptive iteration method of estimation of anti-velocity gate deception interference
CN103760531B (en) A kind of noise suppressing method of aerial target echo of Narrow-band Radar
CN105044688A (en) Radar robust space-time adaption processing method based on iterative subspace tracking algorithm
CN109061598A (en) A kind of STAP clutter covariance matrix estimation method

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant