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Knowledge-based sparse recovery space-time adaptive processing method and system

A space-time adaptive and sparse recovery technology, applied in radio wave measurement systems, instruments, etc., can solve the problems of performance degradation, array errors, and high computational complexity, and achieve the effect of improving the level of clutter suppression and target detection.

Inactive Publication Date: 2018-01-05
SHENZHEN UNIV
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Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide a knowledge-based sparse recovery space-time adaptive processing method and system, aiming to solve the performance degradation and high computational complexity caused by the existence of array errors when solving sparse recovery STAP in the prior art The problem

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  • Knowledge-based sparse recovery space-time adaptive processing method and system
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  • Knowledge-based sparse recovery space-time adaptive processing method and system

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[0057] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0058] figure 1 A space-time adaptive processing method for knowledge-based sparse recovery provided by an embodiment of the present invention is shown, including:

[0059] S101, constructing a space-time guidance dictionary according to the airborne radar and the angle-Doppler plane, and determining the clutter angle-Doppler image according to the space-time guidance dictionary;

[0060] S102. Jointly estimate the array phase error of the antenna array of the airborne radar and the clutter angle-Doppler image. In this step, the values ​​obtained after joint estimation are array amplitude and pha...

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Abstract

The present invention is applicable to the field of radar signal processing, and provides a space-time adaptive processing method for sparse recovery based on knowledge, comprising: constructing a space-time guidance dictionary according to the airborne radar and angle-Doppler plane, and constructing a space-time guidance dictionary according to the space-time The guide dictionary determines the clutter angle-Doppler image; the array phase error of the antenna array of the airborne radar and the clutter angle-Doppler image are jointly estimated; according to the joint estimation, the clutter coordinate is calculated A variance matrix; constructing a space-time filter according to the clutter covariance matrix, and performing clutter suppression through the space-time filter. The embodiment of the present invention solves the problems of performance degradation and high computational complexity due to the presence of array errors faced by the sparse recovery STAP, and improves the clutter suppression level and target detection capability of the radar system.

Description

technical field [0001] The invention belongs to the field of radar signal processing, in particular to a space-time self-adaptive processing method and system for knowledge-based sparse restoration. Background technique [0002] Space-time adaptive processing is a key technology to improve the performance of airborne radar to detect moving targets, but this technology faces the challenge of limited filter training samples, and this challenge is more severe in the non-uniform clutter environment. In the past ten years, space-time adaptive processing technology has made some progress, such as the proposed reduced dimension (reduced dimension) STAP (space-time adaptive processing, space-time adaptive processing) method, reduced rank (reduced rank) STAP method , model parameterization (model-based) STAP method, knowledge-aided (knowledge-aided) STAP method, etc. [0003] With the introduction of compressed sensing (CS, compressed sensing) theory, the STAP method based on sparse...

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Application Information

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IPC IPC(8): G01S7/02
Inventor 阳召成汪小叶朱轶昂黄建军
Owner SHENZHEN UNIV
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