Robust sparse recovery STAP method and system based on alternating direction method of multipliers

A technology of alternating direction multipliers and sparse recovery, applied in radio wave measurement systems, instruments and other directions, can solve the problem of accuracy affecting target detection performance, etc., to improve radar system clutter suppression and target detection capabilities, improve performance, overcome The effect of severe performance degradation

Active Publication Date: 2017-03-15
SHENZHEN UNIV
View PDF3 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] In view of this, the purpose of the present invention is to provide a robust sparse restoration STAP method based on the alternating direction multiplier method and its system, aiming to solve the problems in the prior art that affect the performance of target detection due to excessive reliance on the accuracy of the sparse model. question

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Robust sparse recovery STAP method and system based on alternating direction method of multipliers
  • Robust sparse recovery STAP method and system based on alternating direction method of multipliers
  • Robust sparse recovery STAP method and system based on alternating direction method of multipliers

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0035] 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.

[0036] The technical solution provided by the invention first establishes a signal sparse model under the array amplitude and phase error, and then utilizes the sparsity of the clutter and the target power spectrum to add constraints to the array amplitude and phase error, based on the Alternating Direction Method of Multipliers , ADM) transforms the traditional sparsity-based STAP problem into an optimization problem of jointly estimating the clutter (or clutter plus target) angle-Doppler image and array amplitude and phase error, and solves the optimization problem to obtain the angle-Doppler imag...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention provides a robust sparse recovery STAP method based on alternating direction method of multipliers (ADM), wherein the method comprises: a model establishing step of establishing a signal sparse model under an array amplitude phase error; a joint estimation step of jointly estimating the angle-Doppler image of the array amplitude phase error and the clutter or clutter and target by using the sparsity of the clutter and a target power spectrum, by adding constraint to array amplitude phase error, and by using the ADM; and a target detection step of detecting the estimated angle-Doppler image at a detection unit to be detected by using a detection window, computing the total power of the target and the average power of all reference units, and detecting the target by using a median value false alarm detector. The invention also provides a robust sparse recovery STAP system based on ADM. The method and system can overcome the influence of the performance degradation caused by the array amplitude phase error, and further improve the radar system clutter suppression and target detection capability.

Description

technical field [0001] The invention relates to the field of radar signal processing, in particular to a robust sparse restoration STAP method based on an alternating direction multiplier method and a system thereof. Background technique [0002] No matter in military or civilian fields, detecting moving targets has always been an important task of airborne radar. Moreover, the moving target detection technology is based on the premise that the target Doppler frequency is different from the clutter Doppler frequency. However, since the movement of the airborne platform itself will broaden the clutter Doppler spectrum, the target is often covered by clutter, which will inevitably lead to the decline of target detection performance. [0003] The traditional moving target detection technology only uses the Doppler dimension to detect the target, while the space-time adaptive processing (Space-Time Adaptive Processing, STAP) technology not only uses the Doppler dimension, but a...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G01S7/41
CPCG01S7/414G01S7/415
Inventor 阳召成朱轶昂黄建军
Owner SHENZHEN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap