CN107561512A - A kind of polarization of pulse Doppler radar resistance to compression standard towing interference offsets method - Google Patents
A kind of polarization of pulse Doppler radar resistance to compression standard towing interference offsets method Download PDFInfo
- Publication number
- CN107561512A CN107561512A CN201710908018.5A CN201710908018A CN107561512A CN 107561512 A CN107561512 A CN 107561512A CN 201710908018 A CN201710908018 A CN 201710908018A CN 107561512 A CN107561512 A CN 107561512A
- Authority
- CN
- China
- Prior art keywords
- mrow
- msub
- channel
- polarization
- interference
- 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
Links
- 230000010287 polarization Effects 0.000 title claims abstract description 68
- 238000000034 method Methods 0.000 title claims abstract description 17
- 230000006835 compression Effects 0.000 title description 3
- 238000007906 compression Methods 0.000 title description 3
- 239000013598 vector Substances 0.000 claims abstract description 25
- 238000001514 detection method Methods 0.000 claims abstract description 8
- 239000011159 matrix material Substances 0.000 claims description 14
- 238000005259 measurement Methods 0.000 claims description 7
- 238000005070 sampling Methods 0.000 claims description 7
- 238000012545 processing Methods 0.000 claims description 6
- 238000009825 accumulation Methods 0.000 claims description 4
- 238000006243 chemical reaction Methods 0.000 claims description 3
- 238000001914 filtration Methods 0.000 claims description 3
- 238000007781 pre-processing Methods 0.000 claims description 2
- 238000000605 extraction Methods 0.000 claims 2
- 230000008707 rearrangement Effects 0.000 claims 1
- 238000012163 sequencing technique Methods 0.000 claims 1
- 230000009897 systematic effect Effects 0.000 claims 1
- 230000003044 adaptive effect Effects 0.000 abstract description 2
- 230000002452 interceptive effect Effects 0.000 abstract description 2
- 230000001629 suppression Effects 0.000 description 7
- 238000010586 diagram Methods 0.000 description 4
- 238000001228 spectrum Methods 0.000 description 3
- 238000000342 Monte Carlo simulation Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000013178 mathematical model Methods 0.000 description 1
Landscapes
- Radar Systems Or Details Thereof (AREA)
Abstract
The present invention provides a kind of polarization anti jamming method of pulse Doppler radar, to suppress pressing type towing interference, by setting the mutually orthogonal master of polarization mode, auxiliary antenna receives to signal simultaneously, using polarization characteristic difference therebetween determine primary antenna and, the polarization of gun parallax and trim triple channel signal offsets weight coefficient, when interfering energy is stronger, in the case where the actual reception gain of interference polarization vector sum primary antenna need not be known, can offsets weight coefficient to polarization and carries out adaptive estimation, and then pulse Doppler radar can obtain polarization and offset later state no interference signal, realize and the angular duration of real goal is tracked.The present invention is applied in pulse Doppler radar, can effectively suppress pressing type towing interference, strengthens detection, the tracking performance of radar.
Description
Technical Field
The invention relates to the technical field of anti-interference of pulse Doppler radars, in particular to a polarization cancellation method for anti-pressure system drag interference of a pulse Doppler radar.
Background
In recent years, with the development of the electronic interference technology, the electronic interference environment faced by the pulse doppler radar is becoming more and more complicated. The squelch interference can be divided into three different interference modes, i.e. squelch interference, squelch interference and squelch interference, according to the different platforms.
The suppression type self-defense interference means that interference signals are generated from an interference machine nacelle carried by a target, and the interference is the same as the target position. In this case, the pulse doppler radar can directly use a high-power noise interference signal to perform angle tracking on the target through a passive tracking interference source technology (HOJ).
The suppression type support interference means that the jammer emits a noise interference signal beyond the maximum detection range of the interfered radar so as to shield a real target from being discovered. In general, the suppressed support interference is entered by the side lobe of the interfered radar antenna, so that the interference can be suppressed by side lobe cancellation.
The suppressed towing interference is that an interference machine is connected with a target carrier through a towing line, and as a typical active interference outside the carrier, the interference is different from the target position, so that the target cannot be angle-tracked through a passive tracking interference source technology. In addition, the suppressed towing interference enters from the main lobe of the interfered radar as the target signal, so the sidelobe cancellation technology cannot suppress the interference.
Disclosure of Invention
Aiming at the defects of the background art, the invention provides a polarization cancellation method for the pressure-resistant system drag interference of a pulse Doppler radar. The method receives signals simultaneously through a main antenna and an auxiliary antenna which are orthogonal in polarization mode, and cancellation and suppression of suppression type towing interference are achieved by utilizing polarization difference between the main antenna and the auxiliary antenna.
The invention provides a polarization cancellation method for pressure-resistant system towing interference of a pulse Doppler radar, which comprises the following steps of:
step 1: preprocessing an echo signal;
the radar main antenna continuously emits single carrier pulse signals outwards, the main antenna and the auxiliary antenna simultaneously receive echo signals, and when the suppression type dragging interference exists in the space, the expression of the main antenna and the main antenna after digital down-conversion and low-pass filtering is shown as
Wherein R is the distance between the target and the radar; λ is the signal wavelength; l is the system loss; sigma is the scattering sectional area of the target; p is a radical oft(T) rect (T/T) is the complex envelope of the transmitted signal, T is the pulse width; f. ofdIs the target doppler frequency; tau is echo time delay under the current target distance;a polarization scattering matrix of the target under the current posture is taken;gain for the main antenna and the road pattern;a target current azimuth pitch angle;a current azimuth pitch angle for towing bait; h ism＝[hmH,hmV]TIs the main antenna polarization vector, and | | | hm||＝1；hJ＝[hJH,hJV]TIs a polarization vector of interference signal and has | | hJ||＝1；J(t)＝nJ(t) is a noise interference signal; n ism(t) is the dominant antenna receiver noise. Similarly, the azimuth difference channel, the elevation difference channel and the auxiliary antenna channel receive signals as
Wherein,gain for the main antenna azimuth pattern;gain for the main antenna pitch difference pattern;to assist antenna pattern gain; h isc＝[hcH,hcV]TIs an auxiliary antenna polarization vector, and | | | hc||＝1；nc(t) auxiliary antenna receiver noise.
Step 2: interference polarization cancellation;
the sum, the azimuth difference, the pitch difference and the auxiliary channel signal are processed, the auxiliary channel signal is multiplied by corresponding weight coefficients to be respectively offset with the sum, the azimuth difference and the pitch difference channel signal, and the mathematical model is that
yΣ(t)＝zΣ(t)-ωΣzc(t),yΔa(t)＝zΔa(t)-ωΔazc(t),yΔp(t)＝zΔp(t)-ωΔpzc(t)
Based on the polarization cancellation model, the theoretical optimal cancellation weight coefficient In practice, the polarization vector h of the interference signalJAnd actual reception gain of antenna patternAndoften unknown, and therefore an estimate of the optimal cancellation weight coefficients is needed.
And step 3: self-adaptive estimation of optimal weight-cancellation coefficient
Sampling signals of the sum, the azimuth difference, the pitching difference and n pulse repetition periods of the auxiliary channel to obtain a sampled four-channel signal vector zΣ,zΔa,zΔpAnd zcThe vector lengths are all N. Continue on four-channel signal vector zΣ,zΔa,zΔpAnd zcPerforming decimation reordering assuming decimation interval l ═ fsT]Wherein f issFor the sampling frequency, T is the pulse width]For rounding the symbols, the columns are rearranged to obtain a matrix A of p × nΣ,AΔa,AΔpAnd AcWherein p is the number of range gates, and the value is p ═ N/(nl). Further statistical matrix AΣ,AΔa,AΔpAnd matrix AcThe energy ratio of each line obtains the estimated sequence of the three channels of the sum, the azimuth difference and the pitch difference to the weighting coefficient
Sorting the estimated sequence of the weight-canceling coefficient according to the size to obtain a new estimated sequenceAndat this timeAndi.e. the self-adaptive optimal estimated value of the weighting coefficient, namely three channels of the sum, the azimuth difference and the pitch difference, namely
Will be provided withAndand (3) substituting the polarization cancellation model in the step (2) to obtain an interference-free signal after polarization cancellation.
And step 3: measuring the angle of a single pulse;
and continuously processing three signals of the sum, the azimuth difference and the pitch difference after polarization cancellation, obtaining distance and speed information of the target through accumulation and CFAR detection, and obtaining azimuth and pitch angle information of the target through single-pulse angle measurement.
In summary, the invention provides a polarization cancellation method for the compression-resistant system towing interference of the pulse doppler radar, which establishes a sum, azimuth difference, pitch difference and auxiliary channel signal model; utilizing the auxiliary channel signal to cancel the medium-voltage system dragging interference of the three signals of the sum path, the azimuth difference and the pitching difference; and when the polarization vector of the interference signal and the actual receiving gain of the antenna directional diagram are unknown, carrying out self-adaptive estimation on the optimal cancellation value.
The invention brings the following beneficial effects:
the method receives signals through a main antenna and an auxiliary antenna which are orthogonal in polarization mode, simply and effectively carries out self-adaptive estimation on polarization cancellation weight coefficients under the condition that interference polarization vectors and actual receiving gains of the antennas are not needed to be known, and then the signals received by the auxiliary antennas are multiplied by the cancellation weight coefficients to be cancelled with the signals received by the main antenna, so that sum, azimuth difference and elevation difference signals of the interference signals which are greatly suppressed can be obtained. And finally, the real target information can be extracted through the re-accumulation and CFAR detection pulse Doppler radar, and the continuous angle tracking of the target is realized.
Drawings
FIG. 1 is a general flow diagram of the present invention;
FIGS. 2 a-2 d are sum, azimuth difference, pitch difference and auxiliary channel quad-channel directional pattern functions;
3 a-3 c are frequency spectrums of sum, azimuth difference and pitch difference three-channel pre-cancellation signals;
FIGS. 4 a-4 c are frequency spectrums of signals after three channels of sum, azimuth difference and elevation difference are cancelled;
fig. 5 is a graph of the measurement results of ten monte carlo experiments of the target azimuth and the pitch angle.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples.
Referring to fig. 1, the method of the present invention includes the following steps:
(1) a pretreatment step: the radar main antenna transmits a single carrier pulse signal, the main antenna and the auxiliary antenna simultaneously receive echo signals, and when the suppression type dragging interference exists in the space, the expression of the main antenna and the path signals after digital down-conversion and low-pass filtering is shown as
Wherein R is the distance between the target and the radar; λ is the signal wavelength; l is the system loss; σ is the target powderCross sectional area of the beam; p is a radical oft(T) rect (T/T) is the complex envelope of the transmitted signal; f. ofdIs the target doppler frequency; tau is echo time delay under the current target distance;a polarization scattering matrix of the target under the current posture is taken;gain for the main antenna and the road pattern;a target current azimuth pitch angle;a current azimuth pitch angle for towing bait; h ism＝[hmH,hmV]TIs the main antenna polarization vector, and | | | hm||＝1；hJ＝[hJH,hJV]TIs a polarization vector of interference signal and has | | hJ||＝1；J(t)＝nJ(t) is a noise interference signal; n ism(t) is the dominant antenna receiver noise. Similarly, the azimuth difference channel, the elevation difference channel and the auxiliary antenna channel receive signals as
Wherein,gain for the main antenna azimuth pattern;gain for the main antenna pitch difference pattern;to assist antenna pattern gain; h isc＝[hcH,hcV]TIs an auxiliary antenna polarization vector, and | | | hc||＝1；nc(t) auxiliary antenna receiver noise.
(2) Polarization cancellation: sampling signals of the sum, the azimuth difference, the pitching difference and n pulse repetition periods of the auxiliary channel to obtain a sampled four-channel signal vector zΣ,zΔa,zΔpAnd zcThe vector lengths are all N. Continue on four-channel signal vector zΣ,zΔa,zΔpAnd zcPerforming decimation reordering assuming decimation interval l ═ fsT]Wherein f issFor the sampling frequency, T is the pulse width]For rounding the symbols, the columns are rearranged to obtain a matrix A of p × nΣ,AΔa,AΔpAnd AcWherein p is the number of range gates, and the value is p ═ N/(nl). Further statistical matrix AΣ,AΔa,AΔpAnd matrix AcThe energy ratio of each line obtains the estimated sequence of the three channels of the sum, the azimuth difference and the pitch difference to the weighting coefficient
Sorting the estimated sequence of the weight-canceling coefficient according to the size to obtain a new estimated sequenceAndat this timeAndi.e. the self-adaptive optimal estimated value of the weighting coefficient, namely three channels of the sum, the azimuth difference and the pitch difference, namely
Multiplying the auxiliary channel signal by the corresponding weight coefficientAndrespectively carrying out cancellation with the channel signals of the sum, the azimuth difference and the pitch difference to obtain interference-free signals after polarization cancellation, wherein the mathematical expression is
(3) Single pulse angle measurement: and continuously processing three signals of the sum, the azimuth difference and the pitch difference after polarization cancellation, obtaining distance and speed information of the target through accumulation and CFAR detection, and obtaining azimuth and pitch angle information of the target through single-pulse angle measurement.
The effects of the present invention can be further illustrated by specific examples.
Examples conditions: considering the polarization mode of the radar main antenna as horizontal polarization hm＝[1,0]TThe polarization mode of the auxiliary antenna is vertical polarization hc＝[0,1]T(ii) a The suppressed towing jammer signal is set to zero mean Gaussian white noise, and the polarization mode is set to be a circle to avoid the jammer energy loss caused by polarization mismatchPolarization ofThe target polarization scattering matrix is set as a rotation matrixAngle of rotation thetar30 °; target current azimuth pitch angleCurrent azimuthal pitch angle of towing lureThe signal-to-noise ratio (SNR) is defined as the ratio of the received signal to the receiver thermal noise power, SNR being 20 dB; the interference-to-signal ratio (JSR) is defined as the ratio of the interfering signal to the received signal power, and JSR is 30 dB. The sum path, azimuth difference, elevation difference and auxiliary channel directional diagram functions are shown in fig. 2a, fig. 2b, fig. 2c and fig. 2d, respectively, and the normalized reference is the maximum value of the sum path directional diagram.
Spectrograms of the polarization cancellation front-and-way, azimuth difference and pitch difference three-way signals are shown in fig. 3a, 3b and 3c, respectively. It can be seen that when there is the drag-type suppressed interference, since the interference power is much stronger than the target power, the target signals in the three channels are submerged in the noise interference, and the pulse doppler radar cannot extract the target information.
The sum, azimuth difference, elevation difference and auxiliary channel four-way signals are processed by the polarization cancellation method of the invention to obtain the sum, azimuth difference and elevation difference three-way signals after polarization cancellation, and the frequency spectrums thereof are respectively shown in fig. 4a, fig. 4b and fig. 4 c. Comparing with fig. 3a to fig. 3c, it can be seen that after polarization cancellation processing, the interference in the sum, azimuth and pitch difference three-way signals is well suppressed, the target peak value can be displayed, and at this time, the target angle can be measured by extracting the target peak value.
FIG. 5 shows the measured results of the ten Monte Carlo experimental azimuth and pitch angles, which are calculated to obtain the targetMean value of azimuthal error ofVariance ofMean value of pitch angle error ofVariance ofThe angle measurement precision is higher. Therefore, the invention is applied to the polarization cancellation processing of the suppressed towing interference, can effectively inhibit interference signals and ensure the detection and tracking performance of the pulse Doppler radar.
In summary, the present invention provides a polarization anti-interference method for a pulse doppler radar, which suppresses the suppressed towing interference, receives signals simultaneously through a main antenna and an auxiliary antenna which are set in a polarization manner and are orthogonal to each other, determines the polarization cancellation weight coefficient of a three-channel signal of the main antenna and the azimuth difference and the elevation difference by using the polarization characteristic difference between the main antenna and the auxiliary antenna, and can perform adaptive estimation on the polarization cancellation weight coefficient without knowing the interference polarization vector and the actual receiving gain of the main antenna when the interference energy is strong, so that the pulse doppler radar can obtain an interference-free signal after polarization cancellation, thereby realizing the continuous angle tracking of a real target. The invention is applied to the pulse Doppler radar, can effectively inhibit the suppression type dragging interference and enhance the detection and tracking performance of the radar.
Claims (5)
1. A polarization cancellation method for pressure-resistant mode drag interference of a pulse Doppler radar is characterized by comprising the following steps:
s1, preprocessing;
a radar main antenna transmits a single carrier pulse signal, a main antenna and an auxiliary antenna simultaneously receive an echo signal, and a signal processor performs down-conversion and low-pass filtering on the received signal to obtain received signals of a main antenna sum channel, an azimuth difference channel, a pitch difference channel and an auxiliary antenna channel;
s2, interference polarization cancellation;
processing the received signals of the sum channel, the azimuth difference channel, the pitch difference channel and the auxiliary channel to obtain a model for multiplying the received signals of the auxiliary channel by corresponding cancellation weight coefficients to respectively cancel the received signals of the sum channel, the azimuth difference channel and the pitch difference channel signals; wherein, the weight cancellation coefficient is an estimated value;
s3, self-adaptive estimation of the weight coefficient;
sampling signals of a plurality of pulse repetition periods of the sum channel, the azimuth difference channel, the pitch difference channel and the auxiliary channel, extracting and rearranging four sampled channel signal vectors to obtain corresponding matrixes, counting the energy ratio of each row of the matrixes corresponding to the sum channel, the azimuth difference channel and the pitch difference channel to each row of the matrixes corresponding to the auxiliary channel to obtain an estimation sequence of the three channels of the sum channel, the azimuth difference channel and the pitch difference channel for the weight cancellation coefficient, sequencing the estimation sequence to be used as a self-adaptive optimal estimation value of the three channels of the sum channel, the azimuth difference channel and the pitch difference channel for the weight cancellation coefficient, and substituting the self-adaptive optimal estimation value into the model in the step S2 to obtain an interference.
2. The method for canceling polarization of interference due to systematic drag of pulse doppler radar according to claim 1, further comprising, after step S3:
s4, single pulse angle measurement:
and processing three signals of the sum, the azimuth difference and the pitch difference after polarization cancellation, obtaining distance and speed information of the target through accumulation and CFAR detection, and obtaining azimuth and pitch angle information of the target through single-pulse angle measurement.
3. The method for canceling polarization of direct-mode interference in pulse Doppler radar according to claim 1, wherein in step S1, when there is a suppressed interference in space,
the received signals of the main antenna and channel, the azimuth difference channel, the elevation difference channel and the auxiliary antenna are expressed as:
r is the distance between the target and the radar; λ is the signal wavelength; l is the system loss;
sigma is the scattering sectional area of the target; p is a radical oft(T) rect (T/T) is the complex envelope of the transmitted signal;
fdis the target doppler frequency; tau is echo time delay under the current target distance;
s is a polarization scattering matrix of the target under the current posture;
hmis the main antenna polarization vector, and | | | hm||＝1；
hJIs a polarization vector of interference signal and has | | hJ||＝1；
hcIs an auxiliary antenna polarization vector, and | | | hc||＝1；
Gain for the main antenna and the road pattern;gain for the main antenna azimuth pattern;
gain for the main antenna pitch difference pattern;to assist antenna pattern gain;
a target current azimuth pitch angle;a current azimuth pitch angle for towing bait;
j (t) is a noise interference signal; n ism(t) primary antenna receiver noise; n isc(t) auxiliary antenna receiver noise.
4. The method for polarization cancellation of jamming in the pull-in mode of pulse Doppler radar according to claim 3,
the model for multiplying the received signal of the auxiliary channel by the corresponding cancellation weight coefficient to respectively cancel the sum channel signal, the azimuth difference channel signal and the pitch difference channel signal is
yΣ(t)＝zΣ(t)-ωΣzc(t),yΔa(t)＝zΔa(t)-ωΔazc(t),yΔp(t)＝zΔp(t)-ωΔpzc(t)
The theoretical optimal value of the weighting factor is expressed as:
wherein the interference signal polarization vector hJAnd actual reception gain of antenna pattern Andis to be estimated.
5. The method as claimed in claim 4, wherein the Doppler radar comprises a polarization cancellation unit for canceling the interference of the system-drag interference,
sampling signals of n pulse repetition periods of the sum, the azimuth difference, the pitch difference and the auxiliary channel to obtain a sampled four-channel signal vector zΣ,zΔa,zΔpAnd zcThe vector lengths are all N;
for four-channel signal vector zΣ,zΔa,zΔpAnd zcPerforming extraction rearrangement with an extraction interval of l ═ fsT]Wherein f issFor the sampling frequency, T is the pulse width]For rounding the symbols, the columns are rearranged to obtain a matrix A of p × nΣ,AΔa,AΔpAnd AcWherein p is the number of range gates, and the value is p ═ N/(nl);
statistical matrix AΣ,AΔa,AΔpAnd matrix AcThe energy ratio of each line obtains the estimated sequence of the three channels of the sum, the azimuth difference and the pitch difference to the weighting coefficient
<mrow> <msub> <mi>&omega;</mi> <mo>&Sigma;</mo> </msub> <mrow> <mo>(</mo> <mi>i</mi> <mo>)</mo> </mrow> <mo>=</mo> <mfrac> <mrow> <munderover> <mo>&Sigma;</mo> <mrow> <mi>j</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>n</mi> </munderover> <msub> <mi>A</mi> <mo>&Sigma;</mo> </msub> <mrow> <mo>(</mo> <mi>i</mi> <mo>,</mo> <mi>j</mi> <mo>)</mo> </mrow> </mrow> <mrow> <munderover> <mo>&Sigma;</mo> <mrow> <mi>j</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>n</mi> </munderover> <msub> <mi>A</mi> <mi>c</mi> </msub> <mrow> <mo>(</mo> <mi>i</mi> <mo>,</mo> <mi>j</mi> <mo>)</mo> </mrow> </mrow> </mfrac> <mo>,</mo> <msub> <mi>&omega;</mi> <mrow> <mi>&Delta;</mi> <mi>a</mi> </mrow> </msub> <mrow> <mo>(</mo> <mi>i</mi> <mo>)</mo> </mrow> <mo>=</mo> <mfrac> <mrow> <munderover> <mo>&Sigma;</mo> <mrow> <mi>j</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>n</mi> </munderover> <msub> <mi>A</mi> <mrow> <mi>&Delta;</mi> <mi>a</mi> </mrow> </msub> <mrow> <mo>(</mo> <mi>i</mi> <mo>,</mo> <mi>j</mi> <mo>)</mo> </mrow> </mrow> <mrow> <munderover> <mo>&Sigma;</mo> <mrow> <mi>j</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>n</mi> </munderover> <msub> <mi>A</mi> <mi>c</mi> </msub> <mrow> <mo>(</mo> <mi>i</mi> <mo>,</mo> <mi>j</mi> <mo>)</mo> </mrow> </mrow> </mfrac> <mo>,</mo> <msub> <mi>&omega;</mi> <mrow> <mi>&Delta;</mi> <mi>p</mi> </mrow> </msub> <mrow> <mo>(</mo> <mi>i</mi> <mo>)</mo> </mrow> <mo>=</mo> <mfrac> <mrow> <munderover> <mo>&Sigma;</mo> <mrow> <mi>j</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>n</mi> </munderover> <msub> <mi>A</mi> <mrow> <mi>&Delta;</mi> <mi>p</mi> </mrow> </msub> <mrow> <mo>(</mo> <mi>i</mi> <mo>,</mo> <mi>j</mi> <mo>)</mo> </mrow> </mrow> <mrow> <munderover> <mo>&Sigma;</mo> <mrow> <mi>j</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>n</mi> </munderover> <msub> <mi>A</mi> <mi>c</mi> </msub> <mrow> <mo>(</mo> <mi>i</mi> <mo>,</mo> <mi>j</mi> <mo>)</mo> </mrow> </mrow> </mfrac> <mo>,</mo> <mi>i</mi> <mo>=</mo> <mn>1</mn> <mo>,</mo> <mn>...</mn> <mi>p</mi> </mrow>
After the estimated sequences are sorted according to the size, a new estimated sequence is obtainedAndobtaining the self-adaptive optimal estimation value of the weighting coefficient of three channels of the sum, the azimuth difference and the pitch difference:
<mrow> <msub> <mover> <mi>&omega;</mi> <mo>^</mo> </mover> <mo>&Sigma;</mo> </msub> <mo>=</mo> <msub> <mover> <mi>&omega;</mi> <mo>^</mo> </mover> <mo>&Sigma;</mo> </msub> <mrow> <mo>(</mo> <mo>&lsqb;</mo> <mfrac> <mi>p</mi> <mn>2</mn> </mfrac> <mo>&rsqb;</mo> <mo>)</mo> </mrow> <mo>,</mo> <msub> <mover> <mi>&omega;</mi> <mo>^</mo> </mover> <mrow> <mi>&Delta;</mi> <mi>a</mi> </mrow> </msub> <mo>=</mo> <msub> <mover> <mi>&omega;</mi> <mo>^</mo> </mover> <mrow> <mi>&Delta;</mi> <mi>a</mi> </mrow> </msub> <mrow> <mo>(</mo> <mo>&lsqb;</mo> <mfrac> <mi>p</mi> <mn>2</mn> </mfrac> <mo>&rsqb;</mo> <mo>)</mo> </mrow> <mo>,</mo> <msub> <mover> <mi>&omega;</mi> <mo>^</mo> </mover> <mrow> <mi>&Delta;</mi> <mi>p</mi> </mrow> </msub> <mo>=</mo> <msub> <mover> <mi>&omega;</mi> <mo>^</mo> </mover> <mrow> <mi>&Delta;</mi> <mi>p</mi> </mrow> </msub> <mrow> <mo>(</mo> <mo>&lsqb;</mo> <mfrac> <mi>p</mi> <mn>2</mn> </mfrac> <mo>&rsqb;</mo> <mo>)</mo> </mrow> </mrow>
will be provided withAndand substituting the model in the step S2 to obtain an interference-free signal after polarization cancellation.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710908018.5A CN107561512B (en) | 2017-09-29 | 2017-09-29 | Polarization cancellation method for pulse Doppler radar compression-resistant system towing interference |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710908018.5A CN107561512B (en) | 2017-09-29 | 2017-09-29 | Polarization cancellation method for pulse Doppler radar compression-resistant system towing interference |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN107561512A true CN107561512A (en) | 2018-01-09 |
| CN107561512B CN107561512B (en) | 2020-11-03 |
Family
ID=60984638
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710908018.5A Active CN107561512B (en) | 2017-09-29 | 2017-09-29 | Polarization cancellation method for pulse Doppler radar compression-resistant system towing interference |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107561512B (en) |
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108896969A (en) * | 2018-07-20 | 2018-11-27 | 北京遥感设备研究所 | A kind of anti-active decoy interference system and its method offseted based on polarization |
| CN111337886A (en) * | 2020-03-23 | 2020-06-26 | 中国人民解放军空军工程大学 | Radar interference suppression method and device based on channel ratio function and electronic equipment |
| RU2739394C2 (en) * | 2018-12-03 | 2020-12-23 | Федеральное государственное казенное военное образовательное учреждение высшего образования "Военный учебно-научный центр Военно-Морского Флота "Военно-морская академия им. Адмирала Флота Советского Союза Н.Г. Кузнецова" | Device for adaptive protection of a radar station from active noise interferences with an arbitrary spatial spectrum and a different polarization structure |
| CN112230215A (en) * | 2020-09-22 | 2021-01-15 | 电子科技大学 | Self-adaptive monopulse direction finding method for unknown polarization parameters |
| CN113093125A (en) * | 2021-02-26 | 2021-07-09 | 四川九洲防控科技有限责任公司 | Radar interference source positioning method and system, signal processing equipment and storage medium |
| CN113253206A (en) * | 2021-04-25 | 2021-08-13 | 北京理工大学 | Variable polarization monopulse radar target angle estimation method, system, device and medium |
| CN113608178A (en) * | 2021-07-30 | 2021-11-05 | 上海无线电设备研究所 | Anti-drag deception jamming method based on dual-band information fusion |
| CN113740820A (en) * | 2021-09-06 | 2021-12-03 | 西安电子工程研究所 | Mathematical modeling method for pulse Doppler processing of radar signal processor |
| CN114114170A (en) * | 2021-09-06 | 2022-03-01 | 西安电子工程研究所 | Mathematical modeling method for target measurement of radar signal processor |
| CN115061098A (en) * | 2022-07-28 | 2022-09-16 | 南京华成微波技术有限公司 | Method for suppressing radar long-distance support interference and on-line interference |
| CN115453466A (en) * | 2022-07-25 | 2022-12-09 | 西安电子科技大学 | Target identification method for resisting polarization suppression type interference |
| CN116990773A (en) * | 2023-09-27 | 2023-11-03 | 广州辰创科技发展有限公司 | Low-speed small target detection method and device based on self-adaptive threshold and storage medium |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103885041A (en) * | 2014-02-25 | 2014-06-25 | 西安电子科技大学 | Self-adaption side lobe cancellation method based on recognition processing |
| CN106125053A (en) * | 2016-06-17 | 2016-11-16 | 中国电子科技集团公司第十研究所 | Pulse Doppler radar polarization anti jamming method |
| CN106980110A (en) * | 2017-02-16 | 2017-07-25 | 武汉滨湖电子有限责任公司 | A kind of sidelobe cancellation method of adaptive confrontation active pressing jamming containing multipath |
| US9941862B2 (en) * | 2014-03-21 | 2018-04-10 | Dynaspot Corp. | Filter that minimizes in-band noise and maximizes detection sensitivity of exponentially-modulated signals |
-
2017
- 2017-09-29 CN CN201710908018.5A patent/CN107561512B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103885041A (en) * | 2014-02-25 | 2014-06-25 | 西安电子科技大学 | Self-adaption side lobe cancellation method based on recognition processing |
| US9941862B2 (en) * | 2014-03-21 | 2018-04-10 | Dynaspot Corp. | Filter that minimizes in-band noise and maximizes detection sensitivity of exponentially-modulated signals |
| CN106125053A (en) * | 2016-06-17 | 2016-11-16 | 中国电子科技集团公司第十研究所 | Pulse Doppler radar polarization anti jamming method |
| CN106980110A (en) * | 2017-02-16 | 2017-07-25 | 武汉滨湖电子有限责任公司 | A kind of sidelobe cancellation method of adaptive confrontation active pressing jamming containing multipath |
Non-Patent Citations (2)
| Title |
|---|
| 张娟: "拖曳式诱饵对多普勒雷达导引头的干扰仿真", 《系统仿真学报》 * |
| 徐建平: "基于极化的雷达抗干扰研究", 《万方数据》 * |
Cited By (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108896969A (en) * | 2018-07-20 | 2018-11-27 | 北京遥感设备研究所 | A kind of anti-active decoy interference system and its method offseted based on polarization |
| RU2739394C2 (en) * | 2018-12-03 | 2020-12-23 | Федеральное государственное казенное военное образовательное учреждение высшего образования "Военный учебно-научный центр Военно-Морского Флота "Военно-морская академия им. Адмирала Флота Советского Союза Н.Г. Кузнецова" | Device for adaptive protection of a radar station from active noise interferences with an arbitrary spatial spectrum and a different polarization structure |
| CN111337886A (en) * | 2020-03-23 | 2020-06-26 | 中国人民解放军空军工程大学 | Radar interference suppression method and device based on channel ratio function and electronic equipment |
| CN112230215B (en) * | 2020-09-22 | 2023-03-10 | 电子科技大学 | Self-adaptive monopulse direction finding method for unknown polarization parameters |
| CN112230215A (en) * | 2020-09-22 | 2021-01-15 | 电子科技大学 | Self-adaptive monopulse direction finding method for unknown polarization parameters |
| CN113093125B (en) * | 2021-02-26 | 2023-06-20 | 四川九洲防控科技有限责任公司 | Radar interference source positioning method, radar interference source positioning system, signal processing equipment and storage medium |
| CN113093125A (en) * | 2021-02-26 | 2021-07-09 | 四川九洲防控科技有限责任公司 | Radar interference source positioning method and system, signal processing equipment and storage medium |
| CN113253206A (en) * | 2021-04-25 | 2021-08-13 | 北京理工大学 | Variable polarization monopulse radar target angle estimation method, system, device and medium |
| CN113608178A (en) * | 2021-07-30 | 2021-11-05 | 上海无线电设备研究所 | Anti-drag deception jamming method based on dual-band information fusion |
| CN113608178B (en) * | 2021-07-30 | 2024-01-02 | 上海无线电设备研究所 | Anti-drag deception jamming method based on dual-band information fusion |
| CN113740820A (en) * | 2021-09-06 | 2021-12-03 | 西安电子工程研究所 | Mathematical modeling method for pulse Doppler processing of radar signal processor |
| CN114114170A (en) * | 2021-09-06 | 2022-03-01 | 西安电子工程研究所 | Mathematical modeling method for target measurement of radar signal processor |
| CN113740820B (en) * | 2021-09-06 | 2023-07-21 | 西安电子工程研究所 | Mathematical modeling method for pulse Doppler processing of radar signal processor |
| CN114114170B (en) * | 2021-09-06 | 2024-05-10 | 西安电子工程研究所 | Mathematical modeling method for radar signal processor target measurement |
| CN115453466A (en) * | 2022-07-25 | 2022-12-09 | 西安电子科技大学 | Target identification method for resisting polarization suppression type interference |
| CN115061098A (en) * | 2022-07-28 | 2022-09-16 | 南京华成微波技术有限公司 | Method for suppressing radar long-distance support interference and on-line interference |
| CN116990773A (en) * | 2023-09-27 | 2023-11-03 | 广州辰创科技发展有限公司 | Low-speed small target detection method and device based on self-adaptive threshold and storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN107561512B (en) | 2020-11-03 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107561512B (en) | Polarization cancellation method for pulse Doppler radar compression-resistant system towing interference | |
| CA2901610C (en) | Surface wave radar | |
| CN105527610B (en) | The multiple antennas combined optimization clutter suppression method estimated based on fractional order time delay | |
| CN110412559A (en) | The non-coherent of distributed unmanned plane MIMO radar merges object detection method | |
| CN109444820B (en) | Method for detecting target after interference suppression of multi-channel radar when clutter and interference coexist | |
| CN105445701B (en) | The pulse angle estimating method of DDMA MIMO radar targets | |
| CN101881822B (en) | Method for inhibiting same frequency interference of shared-spectrum radars | |
| JP2011158471A (en) | Method for detecting target in time-space adaptive processing system | |
| CN102033227A (en) | Weak target detection method for passive radar taking global positioning system (GPS) navigation satellite as external radiation source | |
| CN102156279A (en) | Method for detecting moving target on ground by utilizing bistatic radar based on MIMO (Multiple Input Multiple Output) | |
| CN109765529B (en) | Millimeter wave radar anti-interference method and system based on digital beam forming | |
| CN111239677B (en) | Multi-beam passive monopulse angle measurement method based on digital array | |
| CN102288949A (en) | Optimal processor based maneuvering target detection method | |
| CN107490788A (en) | A kind of space-time adaptive processing method suitable for MIMO airborne radar non homogeneous clutter suppressions | |
| CN113419219B (en) | Outer radiation source radar same frequency interference cascade cancellation method based on spatial domain feature cognition | |
| JP5047002B2 (en) | Wave number estimation device | |
| CN106054142B (en) | A kind of airborne MIMO radar main lobe smart munition suppressing method and system | |
| Navrátil et al. | Demonstration of space-time adaptive processing for DSI suppression in a passive radar | |
| CN113406578B (en) | Distributed unmanned aerial vehicle radar target detection method, device and storage medium | |
| Narasimhan et al. | Mitigation of sidelobe clutter discrete using sidelobe blanking technique in airborne radars | |
| CN112612007B (en) | Super-sparse array airborne radar moving target distance de-blurring method based on near field effect | |
| Pui et al. | GPS bistatic radar using phased-array technique for aircraft detection | |
| CN114280552A (en) | Sidelobe cancellation method for radar strong clutter region | |
| Yang et al. | Adaptive monopulse estimation in mainlobe jamming for multistatic radar | |
| Feng et al. | Constained adaptive monopulse algorithm based on sub-array |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |