An Algorithm Based on the Compressed sensing for Near Range Two Dimensional Imaging

被引：0

作者：

Ren, Bailing ^{[1
]}

Li, Shiyong ^{[1
]}

Sun, Houjun ^{[1
]}

机构：

[1] Beijing Inst Technol, Inst Microwave Technol, Beijing 100081, Peoples R China

来源：

2012 ASIA-PACIFIC MICROWAVE CONFERENCE (APMC 2012) | 2012年

关键词：

Compressed sensing; matched filter processing; paraxial Green function; two dimensional imaging; security detection; Smoothed L0; sparse objects; MILLIMETER-WAVE; SPARSE DECOMPOSITION;

D O I：

暂无

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

Planar array two dimensional (2D) imaging is an important technology. It saves scanning time, but needs a large number of antenna elements. In order to save the cost, we hope to use less antennas to get the same (or better) image results. In this paper, we use sparse planar array and reconstruct the image by the two dimensional fast smoothed L0 (2D-SL0) algorithm. Paraxial Green function is used as sensing matrix. Comparisons of the algorithms based on 2D-SL0 algorithm and the matched filter processing (MFP) are demonstrated by means of numerical simulations. It is obvious that the imaging results by the 2D-SL0 algorithm is much clearer. And the focusing performance of the algorithm based on the 2D-SL0 algorithm is very well, even when we use the sparse antenna array.

引用

页码：1307 / 1309

页数：3

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