基于压缩感知理论的微动目标成像算法

马赢; 张智军; 陈稳; 秦占师; 肖冰松

doi:10.15892/j.cnki.djzdxb.2015.03.042

2015 , Vol. 35 >Issue 3: 170 - 174

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2015.03.042

摘要

为了解决由于微动导致正弦相位误差的存在,传统的匹配滤波和Fourier变换不能获得聚焦的目标方位图像的问题。文中将压缩感知理论(CS)引入到微动目标成像中,对SAR微动目标回波进行AM-LFM分解,构造SAR微动目标回波的稀疏模型。并在利用CS理论进行成像时采用子孔径CS成像方法消除速度变化导致的图像散焦,对微动目标重新聚焦成像。仿真结果验证了改进算法成像效果。

关键词： 压缩感知; 微动目标成像; 合成孔径雷达; 微多普勒; 调幅-线性调频

本文引用格式

马赢 , 张智军 , 陈稳 , 秦占师 , 肖冰松 . 基于压缩感知理论的微动目标成像算法[J]. 弹箭与制导学报, 2015 , 35(3) : 170 -174 . DOI: 10.15892/j.cnki.djzdxb.2015.03.042

Abstract

Due to micro-sinusoidal phase error, the traditional matched filtering and Fourier transform can not get focused goal orientation image. In this paper, an algorithm was proposed to apply the compressed sensing theory into micro-motion target imaging. SAR micromotion target echo was decomposed with AM-LFM and the sparse models were constructed. In order to re-focus imaging micro-motion target, sub-aperture imaging approach was used to eliminate speed variation. Simulations were given to validate effectiveness of the proposed algorithm.

Key words： CS; micro-motion target imaging; SAR; micro-Doppler; AM-LFM

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