基于矩阵填充理论的R-D算法  

R-D Algorithm Based on Matrix-filling Theory

作　　者：陈宇祺 CHEN Yu-qi(Xi'an Institute of Electronic Engineering,Xi'an 710100,China)

机构地区：[1]西安电子工程研究所,陕西西安710100

出　　处：《软件导刊》2019年第1期86-90,共5页Software Guide

摘　　要：当被探测目标存在微动或者部件微动时,目标微动或其微动部件的回波与目标主体的回波叠加在一起,给成像处理带来影响,针对该问题提出一种基于矩阵填充的R-D算法。利用矩阵填充理论中的压缩感知对被干扰、扰动的观测信号进行重构和恢复,降低微多普勒带来的频带影响,从而提高SAR图像对比度。In view of the fact that the rigid object assumption is no longer satisfied when the target has fretting or fretting components.The echoes of the fretting or fretting components of the target are superimposed on the echoes of the main body of the target which brings many problems to the imaging processing.This paper proposes a matrix filling-based R-D algorithm which uses matrix filling theory to fill the pressure.In order to reduce the frequency band effect caused by micro-Doppler and improve the contrast of SAR image,the idea of shrinkage sensing is used to reconstruct and restore the disturbed and disturbed signals.

关 键 词：SAR矩阵填充 多普勒 压缩感知 R-D算法 微多普勒 

分 类 号：TP312[自动化与计算机技术—计算机软件与理论]