Space-time adaptive processing method and device based on dictionary correction and storage medium

A technology of space-time self-adaptive and processing method, which is applied in the direction of radio wave measurement systems and instruments, can solve the problems of poor accuracy, insufficient convergence of clutter ridges, and large amount of calculation, so as to reduce the computational complexity and amount of calculation, The effect of alleviating the problem of clutter ridge broadening and improving the performance of clutter suppression

Active Publication Date: 2021-11-16
INNER MONGOLIA UNIV OF TECH
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Problems solved by technology

However, the above method has a large computational complexity and a large amount of calculation. When the above algorithm is used for processing, real-time calculation cannot be realized, and real-time mitigation of the off-grid effect cannot be realized.
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  • Space-time adaptive processing method and device based on dictionary correction and storage medium
  • Space-time adaptive processing method and device based on dictionary correction and storage medium
  • Space-time adaptive processing method and device based on dictionary correction and storage medium

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[0059] In order to enable those skilled in the art to better understand the technical solutions of the present invention, the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0060] It should be understood that various modifications may be made to the embodiments disclosed herein. Accordingly, the above description should not be viewed as limiting, but only as exemplifications of embodiments. Those skilled in the art will envision other modifications within the scope and spirit of the application.

[0061] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments of the application and, together with the general description of the application given above and the detailed description of the embodiments given below, serve to explain the embodiments of the application. principle.

[0062] These and other characteristics of the present appli...

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Abstract

The invention discloses a space-time adaptive processing method and device based on dictionary correction and a storage medium. The method comprises the following steps: initializing a space-time guide dictionary; estimating the power of atoms in the space-time steering dictionary through an iterative adaptive algorithm, and obtaining space-time vector atoms most related to clutter points; acquiring a corresponding true clutter Doppler frequency based on the determined space-time vector atoms; replacing the Doppler frequency of the determined space-time vector atoms with the true clutter Doppler frequency; and performing global iteration through an iterative adaptive algorithm, atoms matched with clutter ridges are obtained, and a new space-time oriented dictionary [theta](k+1) is formed. According to the method, the clutter ridge broadening problem caused by off-grid can be effectively relieved, and the clutter suppression performance of sparse recovery STAP is improved; and the method does not depend on exact environment priori knowledge, the algorithm performance is not sensitive to parameter selection, the CNCM can be accurately estimated only through few training samples, and the calculation complexity and the calculation amount are greatly reduced.

Description

technical field [0001] The invention relates to the technical field of airborne radar moving target detection, in particular to a space-time adaptive processing method, device and storage medium based on dictionary correction. Background technique [0002] Space-Time Adaptive Processing (STAP) technology can realize the detection of moving targets in the strong clutter background of airborne radar. The performance of the STAP filter depends on the estimation accuracy of the Clutter-plus-noise Covariance Matrix (CNCM) in the unit under test. CNCM is usually estimated using training samples that are adjacent to the range cell being measured. According to the RMB (Reed-Mallett-Brennan) criterion, at least 2 times the independent and identically distributed training samples of the system degrees of freedom are required to maintain an output signal-to-noise ratio loss (Signal to Cutter plus Noise Ratio Loss, SCNRloss) of less than 3dB. Therefore, the traditional STAP algorithm ...

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Application Information

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IPC IPC(8): G01S7/41
CPCG01S7/414G01S7/415Y02A90/10
Inventor 高志奇徐文先徐伟黄平平乞耀龙
Owner INNER MONGOLIA UNIV OF TECH
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