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Airborne bistatic radar STAP algorithm based on exponential form time-varying weighting

A dual-base radar, exponential technology, used in radio wave measurement systems, instruments, etc., can solve the problem of keeping the change speed unchanged, and achieve the effects of improving accuracy, improving clutter non-stationarity, and simple implementation.

Pending Publication Date: 2020-09-01
AIR FORCE ENG UNIV OF PLA AIRCRAFT MAINTENACE MANAGEMENT SERGEANT SCHOOL
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  • Claims
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AI Technical Summary

Problems solved by technology

However, the TVW method assumes that the adaptive weight vector changes linearly with distance, and the speed of change remains constant, which is inconsistent with the real situation

Method used

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  • Airborne bistatic radar STAP algorithm based on exponential form time-varying weighting
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  • Airborne bistatic radar STAP algorithm based on exponential form time-varying weighting

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Embodiment 1

[0028] see figure 1 , the present invention is based on the exponential time-varying weighted airborne bistatic radar STAP algorithm, in order to solve the airborne bistatic radar clutter distance distribution non-stationary, space-time adaptive processing (STAP) technology clutter suppression performance decline problem, using The exponential function of the distance is introduced into the processor weight vector to accurately represent the nonlinear characteristics of the clutter change. By expanding the sample data in an exponential form, the compensation for the non-stationary distribution of the clutter is realized, and the accuracy of the estimation of the clutter covariance matrix is ​​improved. To a certain extent, the clutter suppression performance of the STAP processor is improved.

[0029] Step 1. Establish a general clutter model of the airborne bistatic radar, and collect the echo signal X(l) of the airborne bistatic radar clutter plus noise as a training sample....

Embodiment 2

[0034] The airborne bistatic radar STAP algorithm based on exponential time-varying weighting of this embodiment is different from Embodiment 1 in that: further, in step 1, the airborne bistatic radar general clutter model is established, and the airborne bistatic radar is collected. The echo signal X(l) of bistatic radar clutter plus noise is used as a training sample, and the specific process is as follows:

[0035] Establish a space Cartesian coordinate system, the launch platform is located at T X and the height is H T , the receiving platform is located at R X And the flying height is H R , the baseline length is the distance L between the transceiver platforms s , the launch platform moves at velocity v T along the angle α with the baseline T moving in the direction of , the receiving platform moves at a velocity v R The angle with the baseline is α R direction of movement. The radar transmit pulse travels the distance RT Arrive at the scattering point P on the g...

Embodiment 3

[0053] The airborne bistatic radar STAP algorithm based on the time-varying weight of the exponential form of the present embodiment is different from the embodiment 2 in that: in step 2, it is assumed that the optimal weight vector of the airborne bistatic radar STAP is about the distance unit l Exponential function of Through matrix transformation, the expanded training samples are obtained where α is the attenuation coefficient, μ 1 and μ 2 is the normalization coefficient.

[0054] Specifically, it is assumed that the optimal weight vector of the bibasic STAP is related to the exponential function of the distance unit l, satisfying

[0055] W=W(e -αl ) (7)

[0056] According to Taylor formula, W(e -αl ) to expand and ignore its three or more items to get

[0057]

[0058] where the first and second derivatives of W(0) are denoted as and

[0059] STAP processor output of the lth unit

[0060]

[0061] In the formula and respectively represent the we...

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Abstract

The invention relates to a time-varying weighting algorithm based on an exponential form, and aims to solve the problem that airborne bistatic radar clutter distance direction distribution is not stable, and clutter suppression performance of a space-time adaptive processing (STAP) technology is reduced. The airborne bistatic radar STAP algorithm based on exponential form time-varying weighting comprises the steps of establishing a universal clutter model of the airborne bistatic radar; obtaining a bistatic radar target signal S; acquiring an echo signal X (l) of airborne bistatic radar clutter plus noise as a training sample; supposing that the optimal weight vector of the airborne bistatic radar STAP is an exponential function about the distance unit l through matrix transformation, performing exponential form expansion on training sample data to obtain an expanded training sample in which alpha represents an attenuation coefficient, and mu1 and mu2 are normalization coefficients; performing autocorrelation processing on the expanded training sample to obtain an expanded clutter covariance matrix estimated value, calculating an optimal weight vector of the STAP processor as a guide vector of the expanded target signal, and acting on a to-be-detected unit to obtain clutter suppressed output;

Description

technical field [0001] The invention relates to a time-varying weighting algorithm based on an exponential form, aiming at solving the problems of non-stationary distribution of airborne bistatic radar clutter in the range direction and degradation of clutter suppression performance of space-time adaptive processing (STAP) technology. Background technique [0002] The airborne bistatic radar system has the advantages of long range, strong anti-interference ability, and good anti-interception performance, and has unique advantages in improving battlefield survivability and detecting stealth targets through the separation of transceivers. However, after adopting the separation of transceivers, due to the simultaneous movement of the transceiver platform, the Doppler frequency broadening of the ground clutter is more serious than that under the single-base condition. The ability to detect objects is severely degraded. Space Time Adaptive Processing (STAP) technology uses joint...

Claims

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Application Information

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IPC IPC(8): G01S7/41
CPCG01S7/411G01S7/414
Inventor 赵军王皖阳舒勇苏波刘旭鹏姚江敏姜乐辉
Owner AIR FORCE ENG UNIV OF PLA AIRCRAFT MAINTENACE MANAGEMENT SERGEANT SCHOOL
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