CN113917410A - Double-station radar collaborative anti-deception jamming method and device and computer equipment - Google Patents

Double-station radar collaborative anti-deception jamming method and device and computer equipment Download PDF

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CN113917410A
CN113917410A CN202111513905.5A CN202111513905A CN113917410A CN 113917410 A CN113917410 A CN 113917410A CN 202111513905 A CN202111513905 A CN 202111513905A CN 113917410 A CN113917410 A CN 113917410A
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echo
contrast
radar
output vector
normalized output
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CN113917410B (en
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胡杰民
徐先武
柴进
李柏文
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Hunan Xinpu Electronic Technology Co ltd
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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
    • 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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Abstract

The application relates to a method and a device for resisting cheating interference by cooperation of a double-station radar, computer equipment and a storage medium. The method comprises the following steps: transmitting a detection signal through a first radar, and receiving an echo through the first radar and a second radar to obtain a first echo and a second echo; obtaining a first baseband echo and a second baseband echo after down-conversion processing; after conjugate turning is carried out on the second baseband echo, convolution calculation is carried out on the second baseband echo and the first baseband echo, and a filtering output sequence of the first baseband echo is obtained; normalizing the filtering output sequence, calculating the mean value and the variance of the normalized output vector, and obtaining the contrast of the normalized output vector according to the mean value and the variance of the normalized output vector; and when the contrast is smaller than a preset threshold value, judging that the echo of the detection signal is a target echo, otherwise, judging that the echo of the detection signal is an interference machine radiation echo. The invention effectively improves the real-time performance of the algorithm on the basis of ensuring the anti-interference performance.

Description

Double-station radar collaborative anti-deception jamming method and device and computer equipment
Technical Field
The application relates to the technical field of radar signal processing, in particular to a method and a device for resisting cheating interference by double-station radar cooperation and computer equipment.
Background
In modern war, the detection process of radar inevitably encounters a lot of interference, so the anti-interference capability of radar becomes important. The deception jamming can receive signals transmitted by the radar, can simulate real target echoes according to the signals transmitted by the radar, and then sends the real target echoes to the radar, so that the radar receives false signals transmitted by the jammers, and deception on a radar system is completed under the condition that the radar is not perceived to be disturbed. Deceptive jamming is therefore an important threat facing radar systems. When a traditional single radar faces deceptive interference, the anti-interference capability of the traditional single radar can be greatly reduced, so that a method for carrying out cooperative anti-interference by adopting a plurality of radars is widely researched. By arranging the plurality of radars, the optimal observation point can be occupied first, different echo signals are detected in different directions and different distances of the target, and the echo information received by each radar is shared, so that the real target can be effectively identified, and the anti-interference capability of the radar system is greatly improved.
From the prior art, the cooperative anti-interference methods are divided into two categories: the main difference between the data-level cooperative anti-spoofing interference and the signal-level cooperative anti-spoofing interference is that the fusion mode is different. The potential anti-interference capability of a multi-station radar cannot be fully exerted by a data-level cooperative anti-interference method in the prior art. The signal level collaborative anti-interference is to carry out joint processing on echo signals in a multi-station radar receiving station, the prior art provides a suppression type interference suppression method based on a signal cancellation idea, interference signal cancellation is realized by utilizing the correlation of suppression type interference in different receiving stations through weighted summation, and target signals are mutually independent, so that effective reservation can be obtained. This idea is also true for deceptive jamming. According to the difference of the target echo correlation, the prior art distinguishes the target and the interference through the correlation of a plurality of pulse echo sequences based on a narrow-band radar signal, and a good effect is obtained. However, this method has a contradiction between the detection time and the interference resistance, and the smaller the number of accumulated pulses, the worse the interference resistance.
Disclosure of Invention
Therefore, in order to solve the technical problem, it is necessary to provide a method, an apparatus and a computer device for cooperative anti-spoofing interference of a dual-station radar, which can solve the problem of low anti-interference time efficiency of a narrowband radar.
A dual-station radar cooperative anti-spoofing interference method, the method comprising:
transmitting a detection signal through a first radar, and receiving echoes of the detection signal through the first radar and a second radar, wherein the echoes are a first echo and a second echo respectively;
performing down-conversion processing on the first echo and the second echo to obtain a first baseband echo and a second baseband echo respectively;
after conjugate inversion is carried out on the second baseband echo, convolution calculation is carried out on the second baseband echo and the first baseband echo, and a filtering output sequence of the first baseband echo is obtained;
normalizing the filtering output sequence to obtain a normalized output vector, calculating the mean value and the variance of the normalized output vector, and obtaining the contrast of the normalized output vector according to the mean value and the variance of the normalized output vector; the contrast is used for measuring the concentration degree of the energy of the filtering output sequence;
and judging the echo of the detection signal according to the contrast, judging the echo of the detection signal to be a target echo when the contrast is smaller than a preset threshold, and otherwise, judging the echo of the detection signal to be an interference machine radiation echo.
In one embodiment, the method further comprises the following steps: obtaining the contrast of the normalized output vector according to the mean and the variance of the normalized output vector as follows:
Figure 713877DEST_PATH_IMAGE001
wherein the content of the first and second substances,
Figure 612563DEST_PATH_IMAGE002
for the contrast of the normalized output vector,
Figure 323030DEST_PATH_IMAGE003
which represents a normalized output vector of the output vector,
Figure 863732DEST_PATH_IMAGE004
and
Figure 976045DEST_PATH_IMAGE005
respectively representing the mean and variance of the normalized output vector.
In one embodiment, the method further comprises the following steps: the preset threshold is the average of the contrast mean value of the target echo and the contrast mean value of the jammer radiation echo.
In one embodiment, the method further comprises the following steps: the preset threshold is obtained through an anti-interference experiment, wherein the preset threshold is the contrast mean value of the target echo and the contrast mean value of the jammer radiation echo.
In one embodiment, the method further comprises the following steps: fixing the azimuth difference of the sight angle of the double-station radar;
rotating the target
Figure 780053DEST_PATH_IMAGE006
Step length of
Figure 977816DEST_PATH_IMAGE007
Obtaining 360 groups of bistatic radar data;
calculating the contrast of the filtering output sequence of 360 sets of bistatic radar data;
and averaging the contrast of the filtering output sequence of the 360 groups of bistatic radar data to obtain the contrast mean value of the target echo.
In one embodiment, the method further comprises the following steps: the first radar and the second radar are at the same elevation.
In one embodiment, after determining the echo of the probe signal according to the contrast, and when the contrast is smaller than a preset threshold, determining that the echo of the probe signal is a target echo, and otherwise, determining that the echo of the probe signal is an interferer radiation echo, the method further includes: and carrying out anti-interference processing on the detected echo.
A dual-station radar cooperative anti-spoofing interference apparatus, the apparatus comprising:
the echo acquisition module is used for transmitting a detection signal through a first radar, and receiving echoes of the detection signal through the first radar and a second radar, wherein the echoes are a first echo and a second echo respectively;
the down-conversion processing module is used for performing down-conversion processing on the first echo and the second echo to respectively obtain a first baseband echo and a second baseband echo;
the filtering module is used for performing convolution calculation on the second baseband echo and the first baseband echo after conjugate inversion to obtain a filtering output sequence of the first baseband echo;
the contrast determining module is used for carrying out normalization processing on the filtering output sequence to obtain a normalized output vector, calculating the mean value and the variance of the normalized output vector and obtaining the contrast of the normalized output vector according to the mean value and the variance of the normalized output vector; the contrast is used for measuring the concentration degree of the energy of the filtering output sequence;
and the interference judging module is used for judging the echo of the detection signal according to the contrast, judging the echo of the detection signal to be a target echo when the contrast is smaller than a preset threshold, and otherwise, judging the echo of the detection signal to be an interference machine radiation echo.
A computer device comprising a memory and a processor, the memory storing a computer program, the processor implementing the following steps when executing the computer program:
transmitting a detection signal through a first radar, and receiving echoes of the detection signal through the first radar and a second radar, wherein the echoes are a first echo and a second echo respectively;
performing down-conversion processing on the first echo and the second echo to obtain a first baseband echo and a second baseband echo respectively;
after conjugate inversion is carried out on the second baseband echo, convolution calculation is carried out on the second baseband echo and the first baseband echo, and a filtering output sequence of the first baseband echo is obtained;
normalizing the filtering output sequence to obtain a normalized output vector, calculating the mean value and the variance of the normalized output vector, and obtaining the contrast of the normalized output vector according to the mean value and the variance of the normalized output vector; the contrast is used for measuring the concentration degree of the energy of the filtering output sequence;
and judging the echo of the detection signal according to the contrast, judging the echo of the detection signal to be a target echo when the contrast is smaller than a preset threshold, and otherwise, judging the echo of the detection signal to be an interference machine radiation echo.
A computer-readable storage medium, on which a computer program is stored which, when executed by a processor, carries out the steps of:
transmitting a detection signal through a first radar, and receiving echoes of the detection signal through the first radar and a second radar, wherein the echoes are a first echo and a second echo respectively;
performing down-conversion processing on the first echo and the second echo to obtain a first baseband echo and a second baseband echo respectively;
after conjugate inversion is carried out on the second baseband echo, convolution calculation is carried out on the second baseband echo and the first baseband echo, and a filtering output sequence of the first baseband echo is obtained;
normalizing the filtering output sequence to obtain a normalized output vector, calculating the mean value and the variance of the normalized output vector, and obtaining the contrast of the normalized output vector according to the mean value and the variance of the normalized output vector; the contrast is used for measuring the concentration degree of the energy of the filtering output sequence;
and judging the echo of the detection signal according to the contrast, judging the echo of the detection signal to be a target echo when the contrast is smaller than a preset threshold, and otherwise, judging the echo of the detection signal to be an interference machine radiation echo.
According to the method, the device and the computer equipment for the double-station radar collaborative anti-deception jamming, the first radar transmits the detection signal, and the first radar and the second radar receive the echo to obtain the first echo and the second echo; performing down-conversion processing on the first echo and the second echo to respectively obtain a first baseband echo and a second baseband echo; after conjugate turning is carried out on the second baseband echo, convolution calculation is carried out on the second baseband echo and the first baseband echo, and a filtering output sequence of the first baseband echo is obtained; normalizing the filtering output sequence to obtain a normalized output vector, calculating the mean value and the variance of the normalized output vector, and obtaining the contrast of the normalized output vector according to the mean value and the variance of the normalized output vector; and judging the echo of the detection signal according to the contrast, judging the echo of the detection signal as a target echo when the contrast is smaller than a preset threshold, and otherwise, judging the echo of the detection signal as an interference machine radiation echo. The invention effectively improves the real-time performance of the algorithm on the basis of ensuring the anti-interference performance.
Drawings
FIG. 1 is a schematic flow chart of a cooperative anti-spoofing interference method for a two-station radar in an embodiment;
FIG. 2 is a schematic diagram illustrating a cooperative anti-interference processing flow of a dual-station radar in an embodiment;
FIG. 3 is a diagram illustrating the results of an omnidirectional angle echo pulse pressure in one embodiment;
FIG. 4 is a diagram illustrating a distribution of contrast after target and interference class matching filtering in an embodiment, where a is a diagram illustrating a result after target filtering and b is a diagram illustrating a result after interference filtering;
FIG. 5 is a graph illustrating a comparison of performance of a method in an embodiment, wherein a is a target and interference contrast statistical result, and b is a statistical result of interference rejection using a pulse correlation metric method;
FIG. 6 is a block diagram of a cooperative anti-spoofing interference device for a two-station radar in an embodiment;
FIG. 7 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The cooperative anti-deception jamming method of the two-station radar can be applied to the following application environments. The terminal executes a double-station radar collaborative anti-deception jamming method, and the method performs class matching filtering processing by using a reversed echo of one radar as a reference signal of the other radar, and realizes the identification of a target and jamming by analyzing the contrast of a normalized filtering result. The terminal may be, but is not limited to, various personal computers, notebook computers, and tablet computers.
In one embodiment, as shown in fig. 1, there is provided a two-station radar cooperative anti-spoofing interference method, including the following steps:
step 102, a detection signal is transmitted through a first radar, and echoes of the detection signal are received through the first radar and a second radar, wherein the echoes are a first echo and a second echo respectively.
The invention is based on the principle as follows:
the double-station radar cooperative detection adopts a 'one-transmitting two-receiving' signal system, namely a first radar transmits radar signals, and reflected echoes are received by the first radar and a second radar for simplicity, so that the generality is not lost, the two radars are assumed to be at the same height, and the corresponding pitch angle is
Figure 24007DEST_PATH_IMAGE008
Here, only the influence of the azimuth angle of the radar line of sight is considered, which is respectively recorded as
Figure 990826DEST_PATH_IMAGE009
And
Figure 231315DEST_PATH_IMAGE010
. Assume that the radar emission signal is:
Figure 385215DEST_PATH_IMAGE011
wherein
Figure 736562DEST_PATH_IMAGE012
Is the carrier frequency of the signal and,
Figure 557888DEST_PATH_IMAGE013
as a matter of time, the time is,
Figure 766015DEST_PATH_IMAGE014
for complex envelopes of the signal, their corresponding Fourier transforms
Figure 672791DEST_PATH_IMAGE015
. The target electromagnetic response can be approximated as the sum of the echoes of discrete points on the target, and according to the GTD model, the target baseband echoes of the two radars can be represented as:
Figure 296671DEST_PATH_IMAGE016
Figure 736617DEST_PATH_IMAGE017
Figure 115646DEST_PATH_IMAGE018
Figure 509718DEST_PATH_IMAGE019
wherein
Figure 937288DEST_PATH_IMAGE020
In order to be the speed of light,
Figure 467627DEST_PATH_IMAGE021
is shown as
Figure 220819DEST_PATH_IMAGE022
A scattering center at azimuth angle of
Figure 898925DEST_PATH_IMAGE023
The scattering coefficient of time. It is clear that,
Figure 395766DEST_PATH_IMAGE024
as the azimuth angle changes, i.e.
Figure 780611DEST_PATH_IMAGE025
Is that
Figure 439125DEST_PATH_IMAGE026
As a function of (c).
Figure 604527DEST_PATH_IMAGE027
Which represents the number of scattering centers and,
Figure 138014DEST_PATH_IMAGE028
Figure 642945DEST_PATH_IMAGE029
expressed in azimuth of
Figure 472361DEST_PATH_IMAGE030
When it comes to
Figure 125059DEST_PATH_IMAGE031
The projection of each scattering center in the direction of the line of sight can be expressed as:
Figure 963702DEST_PATH_IMAGE032
Figure 323139DEST_PATH_IMAGE033
wherein
Figure 323456DEST_PATH_IMAGE034
Is shown as
Figure 401134DEST_PATH_IMAGE035
The position of each scattering center can be seen as the relative projection position of the target scattering center in the radar sight line under different visual angles
Figure 840205DEST_PATH_IMAGE036
And strength
Figure 54149DEST_PATH_IMAGE037
Will change and the interferometrically synthesized echo will have azimuthal sensitivity.
The target echo has azimuth sensitivity, and the interference machine radiation echo has the characteristic of isotropy, so the invention proposes a matching filtering-like anti-interference method for the two-station radar based on the echo space correlation difference.
The matched filter matches the impulse response of the filter with the input signal to maximize the output signal-to-noise ratio. Assume that an input signal containing white gaussian noise is as follows:
Figure 989482DEST_PATH_IMAGE038
Figure 351193DEST_PATH_IMAGE039
wherein
Figure 531638DEST_PATH_IMAGE040
In order to be a signal, the signal,
Figure 600089DEST_PATH_IMAGE041
is zero mean additive white gaussian noise. The impulse response of the matched filter should be the conjugate inversion of the desired output signal, i.e.
Figure 207787DEST_PATH_IMAGE042
Wherein
Figure 260057DEST_PATH_IMAGE043
Is a constant number of times, and is,
Figure 775352DEST_PATH_IMAGE044
for input signals
Figure 963888DEST_PATH_IMAGE045
The conjugate of (c) is flipped. Matched filtering may be implemented by
Figure 742488DEST_PATH_IMAGE046
Figure 78791DEST_PATH_IMAGE047
Wherein
Figure 601040DEST_PATH_IMAGE048
Which represents the convolution operator, is the sum of the convolution operators,
Figure 142617DEST_PATH_IMAGE049
is the output signal. Due to the convolution, the conventional matched filter only outputs a peak point at the moment when the inversion of the impulse response is completely matched with the input signal.
One target echo in the double-station radar echo is turned and then used as a matched filter of the other echo, and the matched filter is not conjugate turning of an input signal in a complete sense in consideration of the influence of noise, so that the concept of the invention is extended and defined as class matched filtering, and the implementation process of the class matched filtering is as follows:
Figure 92119DEST_PATH_IMAGE050
Figure 650139DEST_PATH_IMAGE051
wherein the content of the first and second substances,
Figure 976078DEST_PATH_IMAGE052
is the inversion of the system shock response. The last three terms in the above formula are noise andthe result of the signal convolution and the result of the convolution of noise with noise, the superposition of band-limited noise and white noise. As used herein
Figure 873627DEST_PATH_IMAGE053
And (5) uniformly expressing. The above formula can be abbreviated as:
Figure 994030DEST_PATH_IMAGE054
the interference is isotropic due to the azimuthal sensitivity of the target. The target and interference double-station radar echo matching filtering results are respectively deduced.
FFT conversion is performed on the formula (1) to obtain
Figure 304925DEST_PATH_IMAGE055
Wherein
Figure 903397DEST_PATH_IMAGE056
Is a complex envelope
Figure 921031DEST_PATH_IMAGE057
Of the FFT form of (1), usually the frequency domain
Figure 274652DEST_PATH_IMAGE058
Corresponding time domain
Figure 10527DEST_PATH_IMAGE059
And (4) functional form. In the same way, the method for preparing the composite material,
Figure 911225DEST_PATH_IMAGE060
corresponding FFT transformation
Figure 783366DEST_PATH_IMAGE061
The frequency domain representation of the filtering result is:
Figure 307888DEST_PATH_IMAGE062
Figure 531059DEST_PATH_IMAGE063
for simple expression, make
Figure 471333DEST_PATH_IMAGE064
Figure 463560DEST_PATH_IMAGE065
Then FFT transform the above equation to obtain:
Figure 158984DEST_PATH_IMAGE066
Figure 603871DEST_PATH_IMAGE067
wherein
Figure 347836DEST_PATH_IMAGE068
Is composed of
Figure 460149DEST_PATH_IMAGE069
Corresponding to the time domain form, usually expressed as
Figure 60895DEST_PATH_IMAGE070
And (4) functional form. According to the formula, after the double-station radar echo is subjected to class matching filtering, the output result has
Figure 757193DEST_PATH_IMAGE071
A peak value.
The spoofed jammer generates spoofed interference by receiving radar signals and convolving target characteristics. However, the active emission of the jammer has an isotropic characteristic, which brings a new feasible idea for interference identification. After the jammer receives the signal of the first radar, the generated radar echo is consistent with the target echo, and the time of the two radar echoes is assumedWith a difference of
Figure 508111DEST_PATH_IMAGE072
. The interference echo received by the two-station radar can be expressed as:
Figure 474930DEST_PATH_IMAGE073
Figure 449839DEST_PATH_IMAGE074
the corresponding frequency domain representation forms are respectively as follows:
Figure 134899DEST_PATH_IMAGE075
Figure 486246DEST_PATH_IMAGE076
the frequency domain representation of the filtering result of the interfering echo is:
Figure 307571DEST_PATH_IMAGE077
Figure 515699DEST_PATH_IMAGE078
performing FFT on the formula to obtain a time domain echo after matched filtering:
Figure 921010DEST_PATH_IMAGE079
wherein
Figure 544889DEST_PATH_IMAGE080
Since the frequency domain sequences are perfectly in phase, there must be one and only one distinct peak in the time domain. Based on the above, the invention provides anti-interference based on class matching filteringA method.
And 104, performing down-conversion processing on the first echo and the second echo to respectively obtain a first baseband echo and a second baseband echo.
And 106, performing conjugate inversion on the second baseband echo, and performing convolution calculation on the second baseband echo and the first baseband echo to obtain a filtering output sequence of the first baseband echo.
And 108, performing normalization processing on the filtering output sequence to obtain a normalized output vector, calculating the mean value and the variance of the normalized output vector, and obtaining the contrast of the normalized output vector according to the mean value and the variance of the normalized output vector.
Due to the energy distribution in the target filtered sequence
Figure 486300DEST_PATH_IMAGE081
The peak value, and the echo energy after interference filtering exists on only a single peak value, and the contrast is introduced to measure the concentration degree of the energy in the sequence. The contrast ratio is defined as:
Figure 599750DEST_PATH_IMAGE082
Figure 993822DEST_PATH_IMAGE083
wherein
Figure 421392DEST_PATH_IMAGE084
Which represents a normalized output vector of the output vector,
Figure 217310DEST_PATH_IMAGE085
and
Figure 767240DEST_PATH_IMAGE086
respectively representing the mean and variance of the input vector.
And step 110, judging the echo of the detection signal according to the contrast, judging the echo of the detection signal to be a target echo when the contrast is smaller than a preset threshold, and otherwise, judging the echo of the detection signal to be an interference machine radiation echo.
The decision of the echo by using the contrast is made by adopting the following formula:
Figure 648609DEST_PATH_IMAGE087
Figure 879870DEST_PATH_IMAGE088
wherein the content of the first and second substances,
Figure 28829DEST_PATH_IMAGE089
is a threshold related to the target and interference contrast distribution functions.
In the double-station radar collaborative anti-deception jamming method, a first radar transmits a detection signal, and a first radar and a second radar receive an echo to obtain a first echo and a second echo; performing down-conversion processing on the first echo and the second echo to respectively obtain a first baseband echo and a second baseband echo; after conjugate turning is carried out on the second baseband echo, convolution calculation is carried out on the second baseband echo and the first baseband echo, and a filtering output sequence of the first baseband echo is obtained; normalizing the filtering output sequence to obtain a normalized output vector, calculating the mean value and the variance of the normalized output vector, and obtaining the contrast of the normalized output vector according to the mean value and the variance of the normalized output vector; and judging the echo of the detection signal according to the contrast, judging the echo of the detection signal as a target echo when the contrast is smaller than a preset threshold, and otherwise, judging the echo of the detection signal as an interference machine radiation echo. The invention effectively improves the real-time performance of the algorithm on the basis of ensuring the anti-interference performance.
In a specific embodiment, as shown in fig. 2, a cooperative anti-interference processing flow of the two-station radar is that first, down-conversion processing is performed on echoes received by two radars, respectively, so as to obtain baseband radar echoes, respectively. And secondly, conjugate turning is carried out on the baseband echo of the second radar to serve as the impact response of the matched filter, and similar matched filtering processing is carried out on the baseband echo signal of the first radar. On the basis, the output result is normalized, the contrast of the vector is calculated, and whether the current observation object is a target or interference is determined according to the contrast.
In one embodiment, the method further comprises the following steps: obtaining the contrast of the normalized output vector according to the mean value and the variance of the normalized output vector as follows:
Figure 952923DEST_PATH_IMAGE090
wherein the content of the first and second substances,
Figure 321587DEST_PATH_IMAGE091
in order to normalize the contrast of the output vector,
Figure 90960DEST_PATH_IMAGE092
which represents a normalized output vector of the output vector,
Figure 595891DEST_PATH_IMAGE093
and
Figure 690886DEST_PATH_IMAGE094
respectively, mean and variance of the normalized output vector.
In one embodiment, the method further comprises the following steps: the preset threshold is the average of the contrast mean of the target echo and the contrast mean of the jammer radiated echo.
In one embodiment, the method further comprises the following steps: the preset threshold is obtained through an anti-interference experiment, wherein the preset threshold is the contrast mean value of the target echo and the contrast mean value of the radiation echo of the interference machine.
In one embodiment, the method further comprises the following steps: fixing the azimuth difference of the sight angle of the double-station radar; rotating the target
Figure 546846DEST_PATH_IMAGE095
Step length of
Figure 119910DEST_PATH_IMAGE096
Obtaining 360 groups of bistatic radar data; filtering for calculating 360 sets of bistatic radar dataContrast of the wave output sequence; and averaging the contrast of the filtering output sequences of 360 groups of bistatic radar data to obtain the contrast mean value of the target echo.
In one embodiment, the method further comprises the following steps: the first radar and the second radar are at the same elevation.
In one embodiment, after determining the echo of the probe signal according to the contrast, and when the contrast is smaller than a preset threshold, determining the echo of the probe signal as a target echo, and otherwise, determining the echo of the probe signal as an interferer radiation echo, the method further includes: and carrying out anti-interference processing on the detected echo.
It should be understood that, although the steps in the flowchart of fig. 1 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not limited to be performed in the exact order provided for in the present invention, and may be performed in other orders unless explicitly stated. Moreover, at least a portion of the steps in fig. 1 may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
To verify the effectiveness of the method of the present invention, in one embodiment, anti-interference experiments are performed using high frequency electromagnetic calculation data. The target is a cargo ship, the radar carrier frequency is 17GHz, the bandwidth is 50MHz, the frequency sweeping mode is adopted, and the frequency sweeping interval is 333KHz, so that 151 frequency domain sampling data are obtained. The results of pulse compression directly on the frequency domain data are shown in fig. 3, and it can be seen that the relative position of the scattering center of the target changes with the change of the line-of-sight angle. Suppose that the incident azimuth angles of the two-station radar are respectively
Figure 243462DEST_PATH_IMAGE097
And
Figure 306095DEST_PATH_IMAGE098
angle of pitch is
Figure 383773DEST_PATH_IMAGE099
. Target echoes obtained by the two-station radar respectively correspond to high-frequency electromagnetic calculation data under the corresponding angle, and an output sequence after class matching filtering processing is shown in fig. 4 (a); for interference, the first radar transmits signals, and the second radar is only responsible for receiving, so that the electromagnetic scattering structure facing the first radar direction is convolved with the radar signals and then forwarded by the jammer, and interference echoes received by the two radars are consistent and are interference echoes in the first radar sight line direction. The output sequence after class matching filtering is shown in fig. 4 (b). As can be seen from fig. 4, the energy of the interference-filtered sequence is mainly concentrated on 1 peak, while the energy of the target echo-filtered sequence is dispersed on multiple peaks, which is consistent with the derivation of the paper. Respectively calculating the contrast of the target and the interference filtering result by using the formula (20), and obtaining that the contrast of the target sequence is 8.6497, the contrast of the target sequence is 4.236, and the contrast decision threshold is
Figure 760528DEST_PATH_IMAGE100
When the line of sight of the two-station radar is close, the echo correlation of the target is enhanced, so that the target and the filtering result of the interference have similar contrast. Therefore, the line-of-sight angle of the two-station radar layout needs to be analyzed and evaluated. The correlation analysis experiment was performed as follows: firstly, fixing the azimuth difference of the sight angle of the double-station radar, and rotating the target
Figure 240050DEST_PATH_IMAGE101
Step length of
Figure 676848DEST_PATH_IMAGE102
Therefore, 360 groups of bistatic radar data are obtained, then the contrast of the 360 groups of data filtering output vectors is respectively calculated, and the mean value and the variance of the contrast are calculated on the basis and are used as the correlation measurement under the current azimuth difference. FIG. 5(a) shows the azimuth difference from
Figure 38559DEST_PATH_IMAGE103
Degree conversion to
Figure 953426DEST_PATH_IMAGE104
The mean variance bar graph is shown, and the difference of the azimuth angles is not less than
Figure 553034DEST_PATH_IMAGE105
In time, the average contrast of the filtered output sequence drops below 7 and remains around 6.5. And interference is characterized by isotropy, the echoes of the double-station radar are highly correlated, and the contrast mean value after class matching filtering is stabilized at about 9.2. Since such matched filtered contrast has good separability to targets and interferences, the contrast decision threshold of equation (21) is used herein
Figure 160733DEST_PATH_IMAGE106
Designed as the average of the target contrast mean and the interference contrast mean, as indicated by the red dashed line in fig. 5 (a). For convenience of comparative analysis, 5(b) gives a statistical result of using pulse correlation measurement, and it can be seen that the pulse correlation measurement method needs to accumulate a certain number of pulses to achieve effective distinguishing between interference and a target, and the proposed method performs anti-interference based on the frequency domain correlation of a broadband pulse signal, and can achieve effective distinguishing between a target and interference under the condition of a single pulse, so that a large amount of running time is saved for a platform, and the application of the method on a missile-borne platform provides a sufficient time margin for execution of a guidance strategy.
In one embodiment, as shown in fig. 6, there is provided a two-station radar cooperative anti-spoofing interference apparatus, including: an echo acquisition module 602, a down-conversion processing module 604, a filtering module 606, a contrast determination module 608, and an interference determination module 610, wherein:
an echo obtaining module 602, configured to transmit a detection signal through a first radar, and receive echoes of the detection signal through the first radar and a second radar, where the echoes are a first echo and a second echo, respectively;
a down-conversion processing module 604, configured to perform down-conversion processing on the first echo and the second echo to obtain a first baseband echo and a second baseband echo, respectively;
the filtering module 606 is configured to perform conjugate flip on the second baseband echo and perform convolution calculation on the second baseband echo and the first baseband echo to obtain a filtering output sequence of the first baseband echo;
a contrast determining module 608, configured to perform normalization processing on the filtering output sequence to obtain a normalized output vector, calculate a mean and a variance of the normalized output vector, and obtain a contrast of the normalized output vector according to the mean and the variance of the normalized output vector; the contrast is used for measuring the concentration degree of the energy of the filtering output sequence;
and the interference judging module 610 is configured to judge the echo of the detection signal according to the contrast, and when the contrast is smaller than a preset threshold, judge the echo of the detection signal as a target echo, otherwise, judge the echo of the detection signal as an interferer radiation echo.
The contrast determination module 608 is further configured to obtain a contrast of the normalized output vector according to the mean and the variance of the normalized output vector as:
Figure 734975DEST_PATH_IMAGE107
wherein the content of the first and second substances,
Figure 187953DEST_PATH_IMAGE108
in order to normalize the contrast of the output vector,
Figure 642069DEST_PATH_IMAGE109
which represents a normalized output vector of the output vector,
Figure 420669DEST_PATH_IMAGE110
and
Figure 960234DEST_PATH_IMAGE111
respectively, mean and variance of the normalized output vector.
The contrast determination module 608 is also used to fix the azimuth difference of the two-station radar line-of-sight angle(ii) a Rotating the target
Figure 482483DEST_PATH_IMAGE112
Step length of
Figure 791104DEST_PATH_IMAGE113
Obtaining 360 groups of bistatic radar data; calculating the contrast of the filtering output sequence of 360 groups of bistatic radar data; and averaging the contrast of the filtering output sequences of 360 groups of bistatic radar data to obtain the contrast mean value of the target echo.
The interference determination module 610 is further configured to perform interference rejection processing on the detected echo.
For specific limitations of the two-station radar cooperative anti-spoofing interference device, reference may be made to the above limitations of the two-station radar cooperative anti-spoofing interference method, and details are not described here. The modules in the two-station radar cooperative anti-spoofing interference device can be wholly or partially realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as shown in fig. 7. The computer device includes a processor, a memory, a network interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a dual-station radar cooperative anti-spoofing interference method. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the computer equipment, an external keyboard, a touch pad or a mouse and the like.
Those skilled in the art will appreciate that the architecture shown in fig. 7 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In an embodiment, a computer device is provided, comprising a memory storing a computer program and a processor implementing the steps of the above method embodiments when executing the computer program.
In an embodiment, a computer-readable storage medium is provided, on which a computer program is stored, which computer program, when being executed by a processor, carries out the steps of the above-mentioned method embodiments.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims (10)

1. A cooperative anti-spoofing interference method for a two-station radar is characterized by comprising the following steps:
transmitting a detection signal through a first radar, and receiving echoes of the detection signal through the first radar and a second radar, wherein the echoes are a first echo and a second echo respectively;
performing down-conversion processing on the first echo and the second echo to obtain a first baseband echo and a second baseband echo respectively;
after conjugate inversion is carried out on the second baseband echo, convolution calculation is carried out on the second baseband echo and the first baseband echo, and a filtering output sequence of the first baseband echo is obtained;
normalizing the filtering output sequence to obtain a normalized output vector, calculating the mean value and the variance of the normalized output vector, and obtaining the contrast of the normalized output vector according to the mean value and the variance of the normalized output vector; the contrast is used for measuring the concentration degree of the energy of the filtering output sequence;
and judging the echo of the detection signal according to the contrast, judging the echo of the detection signal to be a target echo when the contrast is smaller than a preset threshold, and otherwise, judging the echo of the detection signal to be an interference machine radiation echo.
2. The method of claim 1, wherein deriving the contrast of the normalized output vector based on the mean and variance of the normalized output vector comprises:
obtaining the contrast of the normalized output vector according to the mean and the variance of the normalized output vector as follows:
Figure 570370DEST_PATH_IMAGE001
wherein the content of the first and second substances,
Figure 956352DEST_PATH_IMAGE002
for the contrast of the normalized output vector,
Figure 939351DEST_PATH_IMAGE003
which represents a normalized output vector of the output vector,
Figure 803402DEST_PATH_IMAGE004
and
Figure 883354DEST_PATH_IMAGE005
respectively representing the mean and variance of the normalized output vector.
3. The method of claim 1, wherein the preset threshold is an average of a contrast mean of the target echo and a contrast mean of the jammer radiated echo.
4. The method of claim 3, wherein the preset threshold is a contrast mean of the target echo and a contrast mean of the jammer radiated echo obtained by a jammer rejection experiment.
5. The method of claim 4, wherein the step of obtaining the contrast mean of the target echo comprises:
fixing the azimuth difference of the sight angle of the double-station radar;
rotating the target
Figure 174658DEST_PATH_IMAGE006
Step length of
Figure 143488DEST_PATH_IMAGE007
Obtaining 360 groups of bistatic radar data;
calculating the contrast of the filtering output sequence of 360 sets of bistatic radar data;
and averaging the contrast of the filtering output sequence of the 360 groups of bistatic radar data to obtain the contrast mean value of the target echo.
6. The method of claim 1, wherein the first radar and the second radar are at a same elevation.
7. The method according to any one of claims 1 to 6, wherein after determining the echo of the probe signal according to the contrast, and when the contrast is smaller than a preset threshold, determining the echo of the probe signal to be a target echo, and otherwise, determining the echo of the probe signal to be an jammer radiation echo, the method further comprises:
and carrying out anti-interference processing on the detected echo.
8. A two-station radar cooperative anti-spoofing interference apparatus, the apparatus comprising:
the echo acquisition module is used for transmitting a detection signal through a first radar, and receiving echoes of the detection signal through the first radar and a second radar, wherein the echoes are a first echo and a second echo respectively;
the down-conversion processing module is used for performing down-conversion processing on the first echo and the second echo to respectively obtain a first baseband echo and a second baseband echo;
the filtering module is used for performing convolution calculation on the second baseband echo and the first baseband echo after conjugate inversion to obtain a filtering output sequence of the first baseband echo;
the contrast determining module is used for carrying out normalization processing on the filtering output sequence to obtain a normalized output vector, calculating the mean value and the variance of the normalized output vector and obtaining the contrast of the normalized output vector according to the mean value and the variance of the normalized output vector; the contrast is used for measuring the concentration degree of the energy of the filtering output sequence;
and the interference judging module is used for judging the echo of the detection signal according to the contrast, judging the echo of the detection signal to be a target echo when the contrast is smaller than a preset threshold, and otherwise, judging the echo of the detection signal to be an interference machine radiation echo.
9. The apparatus of claim 8, wherein the contrast determination module is further configured to obtain the contrast of the normalized output vector according to the mean and the variance of the normalized output vector as:
Figure 811230DEST_PATH_IMAGE008
wherein the content of the first and second substances,
Figure 745688DEST_PATH_IMAGE009
for the contrast of the normalized output vector,
Figure 942314DEST_PATH_IMAGE010
which represents a normalized output vector of the output vector,
Figure 165485DEST_PATH_IMAGE011
and
Figure 168076DEST_PATH_IMAGE012
respectively representing the mean and variance of the normalized output vector.
10. A computer device comprising a memory and a processor, the memory storing a computer program, wherein the processor implements the steps of the method of any one of claims 1 to 7 when executing the computer program.
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Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2000052497A2 (en) * 1999-02-16 2000-09-08 Raytheon Company Radar system having spoofer, blanker and canceler
US20140354464A1 (en) * 2013-05-20 2014-12-04 Faran Awais Butt Radar deception jamming prevention using bi-static and mono-static radars
CN105259541A (en) * 2015-11-26 2016-01-20 西安电子科技大学 Method of confronting active deception jamming by multi-station radar
CN109283497A (en) * 2018-10-19 2019-01-29 西安电子科技大学 Bistatic FDA-MIMO distance by radar cheating interference recognition methods
CN111896928A (en) * 2020-08-10 2020-11-06 西安电子科技大学 Multi-station radar target detection method based on active deception jamming elimination
US20210011120A1 (en) * 2019-07-09 2021-01-14 The Aerospace Corporation Narrowband antijam signaling system (nass) and device
CN112881985A (en) * 2021-01-15 2021-06-01 南京工程学院 Self-adaptive interference method for phase coding pulse compression radar
CN113534067A (en) * 2021-06-30 2021-10-22 南京邮电大学 Multi-station radar anti-deception jamming method and system under multiple interference sources

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2000052497A2 (en) * 1999-02-16 2000-09-08 Raytheon Company Radar system having spoofer, blanker and canceler
US20140354464A1 (en) * 2013-05-20 2014-12-04 Faran Awais Butt Radar deception jamming prevention using bi-static and mono-static radars
CN105259541A (en) * 2015-11-26 2016-01-20 西安电子科技大学 Method of confronting active deception jamming by multi-station radar
CN109283497A (en) * 2018-10-19 2019-01-29 西安电子科技大学 Bistatic FDA-MIMO distance by radar cheating interference recognition methods
US20210011120A1 (en) * 2019-07-09 2021-01-14 The Aerospace Corporation Narrowband antijam signaling system (nass) and device
CN111896928A (en) * 2020-08-10 2020-11-06 西安电子科技大学 Multi-station radar target detection method based on active deception jamming elimination
CN112881985A (en) * 2021-01-15 2021-06-01 南京工程学院 Self-adaptive interference method for phase coding pulse compression radar
CN113534067A (en) * 2021-06-30 2021-10-22 南京邮电大学 Multi-station radar anti-deception jamming method and system under multiple interference sources

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
DATONG HUANG 等: "Joint range–velocity deception jamming suppression for SIMO radar", 《IET RADAR, SONAR & NAVIGATION》 *
于恒力 等: "一种对抗欺骗式干扰的组网雷达功率分配方法", 《西安交通大学学报》 *
黄岩 等: "合成孔径雷达抗干扰技术综述", 《雷达学报》 *

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