CN107290726A - Active pressing jamming suppressing method based on signal-data aggregate processing - Google Patents

Active pressing jamming suppressing method based on signal-data aggregate processing Download PDF

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Publication number
CN107290726A
CN107290726A CN201710534764.2A CN201710534764A CN107290726A CN 107290726 A CN107290726 A CN 107290726A CN 201710534764 A CN201710534764 A CN 201710534764A CN 107290726 A CN107290726 A CN 107290726A
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CN107290726B (en
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王国宏
白杰
孙殿星
张翔宇
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Naval Aeronautical University
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Naval Aeronautical Engineering Institute of PLA
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    • 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
    • G01S7/36Means for anti-jamming, e.g. ECCM, i.e. electronic counter-counter measures
    • 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
    • G01S13/00Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
    • G01S13/02Systems using reflection of radio waves, e.g. primary radar systems; Analogous systems
    • G01S13/50Systems of measurement based on relative movement of target
    • G01S13/58Velocity or trajectory determination systems; Sense-of-movement determination systems
    • 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
    • G01S7/41Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00 using analysis of echo signal for target characterisation; Target signature; Target cross-section

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  • 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 Radar cross-section redaction field, first, LFM signals of changing commanders are become by FRFT and are transformed to multiple sinusoidal signal, the detection of LFM signals and the estimation of carrier frequency are carried out using Orthogonal Subspaces method, then, energy accumulating point coordinates according to estimated parameter to LFM signals in FRFT domains is estimated, and combine energy accumulating characteristic of the LFM signals in FRFT domains, build narrow band filter and narrow-band filtering is carried out to LFM signals, the energy of most of interference and noise is filtered out on the premise of target information is completely retained;Finally, target detection is carried out to the point mark obtained by CFAR detection with M/N logical approach, and the estimation using signals layer to target state, adjudicated by radial velocity direction and the noise flight path for being unsatisfactory for judgment condition is rejected, be finally completed noise jamming and suppress and target detection.

Description

Active pressing jamming suppressing method based on signal-data aggregate processing
Technical field
The invention belongs to Radar cross-section redaction field, it is adaptable to solve interference of the linear FM radar under active pressing jamming Suppress and target detection problems.
Background technology
The electromagnetic environment that modern radar is faced is increasingly severe, and the electromagnetic interference technology for radar is developed rapidly, wherein Active pressing jamming is one of major way of radar chaff.The a large amount of of active pressing jamming use, and greatly constrain radar work The performance for efficiency of fighting.And linear frequency modulation (Linear frequency modulation, LFM) signal has larger when broadband Width product, the requirement of operating distance and range resolution ratio can be met simultaneously, so as to be widely used in modern radar system, institute There is substantial promote to the actual combat of radar and development with the active pressing jamming suppression technology suitable for pulse compression radar Effect.
At present, mainly include for the active pressing jamming suppressing method of pulse compression radar in signals layer fractional order Fu Leaf domain is handled, wherein, document [FRFT is applied to radar anti-main lobe compacting interference technical research [J] modern defense technologies, and 2015, 43(6):83-89.] LFM signals are utilized in fractional number order Fourier (fractional Fourier transform, FRFT) Energy accumulating characteristic, the energy accumulating point coordinates of LFM signals is found by peak value searching, is then gone by FRFT domains narrow-band filtering Except most of compacting interference and the energy of noise, echo signal is recovered finally by FRFT inverse transformations.
There is following defect in the active pressing jamming suppressing method handled based on signals layer FRFT domains:Suppressing system interference ring Under border, energy accumulating point of the LFM signals in FRFT domains is not necessarily peak point, now determines energy by the method for peak value searching Assemble point coordinates, error rate is higher.
The content of the invention
The active pressing jamming suppressing method that signal-data aggregate is handled is based on the purpose of the present invention is to propose to a kind of, with Solution, which is suppressed, is based on the problem of signals layer FRFT domains peak search algorithm error rate is higher under interference environment processed.
The technical scheme bag of active pressing jamming suppressing method proposed by the present invention based on signal-data aggregate processing Include following steps:
Step (1):Detection and the parameter Estimation for completing LFM signals first are converted using FRFT:
(1) it is-arctan (μ) to choose translation-angle, and FRFT conversion is carried out to LFM signals, LFM signals is transformed to multiple Sinusoidal signal, wherein μ are the modulation slope of LFM signals;
(2) Orthogonal Subspaces algorithm is utilized, by being detected to multiple sinusoidal signal and angular frequency estimation, to complete pair The detection of LFM signals and the estimation of carrier frequency.
Step (2):Estimated according to carrier frequency, narrow-band filtering is carried out to LFM signals in FRFT domains:
(1) scale factor is introducedThe new sized coordinate of definition:
Wherein, T represents observation time, fsRepresent sample frequency;
(2) according to the estimation of LFM signal carrier frequency, the coordinate for completing LFM signals in FRFT domains energy accumulating point is estimated:
(3) existOrder build withCentered on, width is L narrow band filter, completes FRFT domains LFM signals Narrow-band filtering;
(4) wave filter is exported into derotation gyrationTime domain is transformed to, and passes through pulse compression and CFAR detection etc. Reason forms point mark.
Step (3):Because Targets Dots are influenceed by target maneuver performance, certain regularity of distribution is met, and noise spot The characteristics of mark then shows randomness, randomness, the different qualities based on both detect with M/N logical approach to target, And estimation of the binding signal layer to target state, the noise flight path for being unsatisfactory for requiring is rejected:
(1) with M/N logical approach to thering is a mark to handle obtained by CFAR detection;
(2) estimation of target Doppler frequency is rejected to the noise flight path for being unsatisfactory for requiring according to signals layer:
If k1、k2The point mark coordinate at moment is respectively (x1,y1) and (x2,y2), then data Layer is to k2Moment target it is how general Strangling Frequency Estimation is:
Wherein, sign () represents to take sign function, and λ is radar operation wavelength.
Signals layer is estimated as to target Doppler frequency:
Because signals layer is relatively low to the estimated accuracy of target radial speed, so at this according to Doppler-frequency estimation Direction makes decisions.Track points to each moment are adjudicated as follows:
For a certain bar flight path, when number is more than p at the time of velocity estimation contradiction, flight path is judged as noise flight path, And rejected.
Beneficial effects of the present invention explanation:
(1) compared to existing compacting disturbance restraining method, the present invention, which can be applied to LFM signal energy accumulation points, is not The situation of peak point, so as to solve the problem of existing method error rate is higher;
(2) signals layer processing and data Layer processing are combined by the present invention, so as to applied to signal interference ratio when lower Situation.
Brief description of the drawings
Accompanying drawing 1 is the method and step flow chart of the present invention;
Accompanying drawing 2 be signal interference ratio be -25dB under the conditions of, Spectral structure situation of the LFM signals in the orthogonal order in FRFT domains
Accompanying drawing 3 is the pseudo- spectrogram of multiple sinusoidal signal that Orthogonal Subspaces method is obtained under the conditions of signal interference ratio is -25dB;
Accompanying drawing 4 is narrow-band filtering prepulse compression result;
Accompanying drawing 5 is narrow-band filtering afterpulse compression result;
Accompanying drawing 6 is the point mark situation of CFAR detection formation before narrow-band filtering;
Accompanying drawing 7 is the point mark situation of CFAR detection formation after narrow-band filtering;
Accompanying drawing 8 is that target is carried out using M/N logical approach to detect obtained flight path result;
Accompanying drawing 9 is result after being rejected according to radial velocity judgement to noise flight path;
Accompanying drawing 10 is the targetpath result that data Layer finally gives.
Specific implementation method
Active pressing jamming suppressing method of the present invention based on signal-data aggregate processing is carried out below in conjunction with the accompanying drawings It is described in detail.Referring to the drawings 1, specific implementation step is as follows:
(1) FRFT conversion is carried out to LFM signals as the following formula to obtain multiple sinusoidal signal:
Wherein,α1=-arctan μ;
(2) above formula is subjected to discretization, and represented with following matrix form:
Wherein, It can be seen from the property of noise subspace:
Wherein, G is the noise subspace being made up of Q m minimal eigenvalue character pair vector, discrete by solving Under stateMinimum value can be obtained by ωnEstimate;
(3) energy accumulating point coordinates (p of the LFM signals in FRFT domains is obtained according to following formula0,u0) be estimated as:
(4) existOrder build withCentered on, width is L narrow band filter, and L values are:
Wherein, ρ is representedEstimation error criterion it is poor;
(5) wave filter is exported into derotation gyrationTime domain is transformed to, go forward side by side horizontal pulse compression and CFAR detection etc. Reason, finally gives the distance and bearing angle information of a mark, and corresponding error covariance matrix;
(6) in x, y coordinate system, with first point p of temporary transient flight path1[x(1),y(1)]For the center of circle, vmaxt、vminT is respectively Radius constitutes circular annular region, if next cycle radar observes new point mark, temporary transient Track forming in this region Second point p2[x(2),y(2)], otherwise will delete the temporary transient flight path;Obtaining p1[x(1),y(1)]、p2[x(2),y(2)]After point, carry out straight Line is extrapolated, to obtain point p3[x(1),y(1)];WithCentered on determine associated region;If obtained by the 3rd scanning measurement most Small D3minValue is less than threshold value γ, then to the D3minThe corresponding measuring point p of value3[x(3),y(3)]Give and interconnect;Repeat above-mentioned straight line The step of extrapolation is with associating, completes target detection.
(7) track points to each moment are adjudicated as follows:
For a certain bar flight path, when number is more than p at the time of velocity estimation contradiction, flight path is judged as noise flight path, And rejected.
If the LFM signals pulsewidth of radar emission is 50 μ s, with a width of 5MHz, carrier frequency is 5GHz, and intermediate frequency is 1MHz, and intermediate frequency is adopted Sample frequency is 15MHz;The radar scanning cycle is 1s, and ranging and angle error are respectively 100m and 0.2 °.RF noise jamming is believed Number a width of 20MHz of band, target echo signal, target component information such as table 1 can be covered on frequency band:
The target component of table 1
Emulation experiment is carried out under the conditions of radar echo signal signal interference ratio is -25dB.
By accompanying drawing 2 as can be seen that when signal interference ratio is -25dB, energy accumulating point of the LFM signals in FRFT domains is flooded completely Not in noise jamming, it is impossible to obtain energy accumulating point coordinates by the method for peak value searching;By accompanying drawing 3 as can be seen that multiple The angular frequency of sinusoidal signal accurate can be estimated;The inventive method can be seen that by Fig. 2 and Fig. 3 contrast It is better than peak value searching method in the case of low signal interference ratio;By accompanying drawing 4 and accompanying drawing 5 as can be seen that this patent method is preferable Remain the energy that most of noise jamming has been filtered out under the premise of target echo information;It can be seen that by accompanying drawing 6 and accompanying drawing 7 The point mark quantity generated after narrow-band filtering is significantly reduced, so as to be conducive to detection of the data Layer to target;Can by accompanying drawing 8 To find out, M/N logical approach can be detected to target, but simultaneously, the noise flight path formed by noise spot mark is also gone out by flase drop Come;By accompanying drawing 9 as can be seen that radial velocity judgement can be unsatisfactory for the noise flight path of judgment condition to a part of radial velocity Rejected, effect is more obvious;By accompanying drawing 10 as can be seen that by the detection of long period, noise flight path is finally complete It is complete to reject.

Claims (3)

1. the active pressing jamming suppressing method based on signal-data aggregate processing, it is characterised in that comprise the following steps:
Step (1):Detection and the parameter Estimation for completing LFM signals first are converted using FRFT;
Step (2):Estimated according to carrier frequency, narrow-band filtering is carried out to LFM signals in FRFT domains;
Step (3):Target is detected with M/N logical approach, and estimation of the combination step (2) to target radial speed, The noise flight path for being unsatisfactory for radial velocity requirement is rejected.
2. the active pressing jamming suppressing method according to claim 1 based on signal-data aggregate processing, its feature It is, step (2) specifically includes following sub-step:
(1) scale factor is introducedThe new sized coordinate of definition:
<mfenced open = "{" close = ""> <mtable> <mtr> <mtd> <mi>x</mi> <mo>=</mo> <mi>T</mi> <mo>/</mo> <mi>S</mi> </mtd> </mtr> <mtr> <mtd> <mi>y</mi> <mo>=</mo> <msub> <mi>f</mi> <mi>s</mi> </msub> <mi>S</mi> </mtd> </mtr> </mtable> </mfenced>
Wherein, T represents observation time, fsRepresent sample frequency;
(2) according to the estimation of LFM signal carrier frequency, the coordinate for completing LFM signals in FRFT domains energy accumulating point is estimated:
<mfenced open = "{" close = ""> <mtable> <mtr> <mtd> <msub> <mover> <mi>p</mi> <mo>^</mo> </mover> <mn>0</mn> </msub> <mo>=</mo> <mo>-</mo> <mi>a</mi> <mi>r</mi> <mi>c</mi> <mi> </mi> <mi>cot</mi> <mo>(</mo> <mi>&amp;mu;</mi> <msup> <mi>S</mi> <mn>2</mn> </msup> <mo>)</mo> <mo>&amp;times;</mo> <mn>2</mn> <mo>/</mo> <mi>&amp;pi;</mi> </mtd> </mtr> <mtr> <mtd> <msub> <mover> <mi>u</mi> <mo>^</mo> </mover> <mn>0</mn> </msub> <mo>=</mo> <mover> <mi>&amp;omega;</mi> <mo>^</mo> </mover> <mo>&amp;times;</mo> <mi>s</mi> <mi>i</mi> <mi>n</mi> <mo>(</mo> <msub> <mi>p</mi> <mn>0</mn> </msub> <mi>&amp;pi;</mi> <mo>/</mo> <mn>2</mn> <mo>)</mo> <mi>S</mi> <mo>/</mo> <mo>(</mo> <mn>2</mn> <mi>&amp;pi;</mi> <mo>)</mo> </mtd> </mtr> </mtable> </mfenced>
(3) existOrder build withCentered on, width is L narrow band filter, completes the arrowband of FRFT domains LFM signals Filtering;
(4) wave filter is exported into derotation gyrationTime domain is transformed to, and by the processing shape such as pulse compression and CFAR detection Into a mark.
3. the active pressing jamming suppressing method according to claim 1 based on signal-data aggregate processing, its feature It is, step (3) specifically includes following sub-step:
(1) with M/N logical approach to thering is a mark to handle obtained by CFAR detection:
(2) estimation of target Doppler frequency is rejected to the noise flight path for being unsatisfactory for requiring according to signals layer:
If k1、k2The point mark coordinate at moment is respectively (x1,y1) and (x2,y2), then data Layer is to k2The Doppler frequency of moment target It is estimated as:
<mfenced open = "" close = ""> <mtable> <mtr> <mtd> <mrow> <msub> <mi>w</mi> <mi>k</mi> </msub> <mo>=</mo> <mi>s</mi> <mi>i</mi> <mi>g</mi> <mi>n</mi> <mrow> <mo>(</mo> <msubsup> <mi>x</mi> <mn>2</mn> <mn>2</mn> </msubsup> <mo>-</mo> <msubsup> <mi>x</mi> <mn>1</mn> <mn>2</mn> </msubsup> <mo>+</mo> <msubsup> <mi>y</mi> <mn>2</mn> <mn>2</mn> </msubsup> <mo>-</mo> <msubsup> <mi>y</mi> <mn>1</mn> <mn>2</mn> </msubsup> <mo>)</mo> </mrow> <mo>&amp;times;</mo> <mfrac> <msqrt> <mrow> <msup> <mrow> <mo>(</mo> <msub> <mi>x</mi> <mn>1</mn> </msub> <mo>-</mo> <msub> <mi>x</mi> <mn>2</mn> </msub> <mo>)</mo> </mrow> <mn>2</mn> </msup> <mo>+</mo> <msup> <mrow> <mo>(</mo> <msub> <mi>y</mi> <mn>1</mn> </msub> <mo>-</mo> <msub> <mi>y</mi> <mn>2</mn> </msub> <mo>)</mo> </mrow> <mn>2</mn> </msup> </mrow> </msqrt> <mi>T</mi> </mfrac> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mo>&amp;times;</mo> <mfrac> <mrow> <msub> <mi>x</mi> <mn>1</mn> </msub> <mo>&amp;times;</mo> <msub> <mi>x</mi> <mn>2</mn> </msub> <mo>+</mo> <msub> <mi>y</mi> <mn>1</mn> </msub> <mo>&amp;times;</mo> <msub> <mi>y</mi> <mn>2</mn> </msub> </mrow> <mrow> <msqrt> <mrow> <msubsup> <mi>x</mi> <mn>1</mn> <mn>2</mn> </msubsup> <mo>+</mo> <msubsup> <mi>y</mi> <mn>1</mn> <mn>2</mn> </msubsup> </mrow> </msqrt> <mo>&amp;times;</mo> <msqrt> <mrow> <msubsup> <mi>x</mi> <mn>2</mn> <mn>2</mn> </msubsup> <mo>+</mo> <msubsup> <mi>y</mi> <mn>2</mn> <mn>2</mn> </msubsup> </mrow> </msqrt> </mrow> </mfrac> <mo>&amp;times;</mo> <mfrac> <mn>2</mn> <mi>&amp;lambda;</mi> </mfrac> </mrow> </mtd> </mtr> </mtable> </mfenced>
Wherein, sign () represents to take sign function, and λ is radar operation wavelength;
Track points to each moment are adjudicated as follows:
For a certain bar flight path, when number is more than p at the time of velocity estimation contradiction, flight path is judged as noise flight path, and give To reject.
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Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103941239A (en) * 2014-05-08 2014-07-23 西安电子科技大学 Method for offsetting and inhibiting main lobe pressing interference through networked radar polarization
CN104614717A (en) * 2015-01-28 2015-05-13 南京信息工程大学 Small target fractal detection method under sea clutter background
KR101558438B1 (en) * 2014-04-25 2015-10-07 국방과학연구소 Method and Apparatus for Active Target Classification and Feature Vector Extraction Using Fractional Fourier Transform
CN105223570A (en) * 2015-10-22 2016-01-06 中国船舶重工集团公司第七二四研究所 A kind of to track method for optimizing before extra large Dim targets detection
CN105652249A (en) * 2016-01-06 2016-06-08 河海大学 Target detection method in interference environment
JP2016121918A (en) * 2014-12-24 2016-07-07 新日本無線株式会社 Microwave doppler mobile entity detection device
CN106127182A (en) * 2016-07-04 2016-11-16 中国人民解放军海军航空工程学院 Two passive sensor multi-jamming sources based on inclination angle are positioned to ghost point methods
CN106353737A (en) * 2016-08-22 2017-01-25 西安电子科技大学 Method for blanket jamming radar detection based on full-frequency band spectrum analysis

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR101558438B1 (en) * 2014-04-25 2015-10-07 국방과학연구소 Method and Apparatus for Active Target Classification and Feature Vector Extraction Using Fractional Fourier Transform
CN103941239A (en) * 2014-05-08 2014-07-23 西安电子科技大学 Method for offsetting and inhibiting main lobe pressing interference through networked radar polarization
JP2016121918A (en) * 2014-12-24 2016-07-07 新日本無線株式会社 Microwave doppler mobile entity detection device
CN104614717A (en) * 2015-01-28 2015-05-13 南京信息工程大学 Small target fractal detection method under sea clutter background
CN105223570A (en) * 2015-10-22 2016-01-06 中国船舶重工集团公司第七二四研究所 A kind of to track method for optimizing before extra large Dim targets detection
CN105652249A (en) * 2016-01-06 2016-06-08 河海大学 Target detection method in interference environment
CN106127182A (en) * 2016-07-04 2016-11-16 中国人民解放军海军航空工程学院 Two passive sensor multi-jamming sources based on inclination angle are positioned to ghost point methods
CN106353737A (en) * 2016-08-22 2017-01-25 西安电子科技大学 Method for blanket jamming radar detection based on full-frequency band spectrum analysis

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
SONG J 等: ""Parameter estimation of LFM signal by direct and spline interpolation based on FrFT"", 《LECTURE NOTES IN ELECTRICAL ENGINEERING》 *
王瑜 等: ""基于FRFT窄带滤波的LFM信号研究"", 《火力与指挥控制》 *

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