摘要
针对TWR雷达图像由于检测信号的频率较高、带宽较大使得图像信息量增大,导致在传输和实时成像方面存在困难的问题,提出了采用压缩感知(CS)为雷达图像的编码提供欠采样压缩的新方法.设计了基于解凸优化的l_1范数等效算法和基于正交匹配追踪(OMP)算法的TWR图像编码方法,构造了部分哈达玛观测阵和高斯随机测量观测阵.实验结果表明,本文算法对雷达图像的欠采样率可达0.546 9,能够实现失真最小和速度最快地对墙内目标进行有效检测.
In order to solve the difficulties in transmission and real time imaging for the TWR radar images caused by the increase of image information amount due to the higher frequency and larger bandwidth of detection signals, a new method, where the compressed sensing （CS） was adopted to offer the sub-sampling compression for the coding of radar images, was proposed. An l1 norm equivalent algorithm based on convex optimization and a TWR image coding method based on orthogonal matching pursuit （OMP） algorithm were designed. In addition, the partial Hadamard observation matrix and Gauss random measurement observation matrix were constructed. The results show that the sub-sampling rate of radar images obtained in the proposed algorithm can reach 0. 546 9. The effective detection of targets inside the wall can be realized with the smallest distortion and fastest speed.
出处
《沈阳工业大学学报》
EI
CAS
北大核心
2016年第1期80-85,共6页
Journal of Shenyang University of Technology
基金
国家863计划资助项目(2013AA041005)
关键词
超宽带信号
穿墙雷达
压缩感知
去直达波成像
雷达图片编码
欠采样
正交匹配追踪算法
L1范数
ultra-wideband signal
through-wall radar （TWR）
compressed sensing （CS）
removing directwave imaging
radar image coding
sub-sampling
orthogonal matching pursuit （OMP）algorithm
l1 norm
