An algorithm based on the compressed sensing for near range two dimensional imaging

Bailing Ren*, Shiyong Li, Houjun Sun

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

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.

源语言英语
主期刊名2012 Asia-Pacific Microwave Conference, APMC 2012 - Proceedings
1307-1309
页数3
DOI
出版状态已出版 - 2012
活动2012 Asia-Pacific Microwave Conference, APMC 2012 - Kaohsiung, 中国台湾
期限: 4 12月 20127 12月 2012

出版系列

姓名Asia-Pacific Microwave Conference Proceedings, APMC

会议

会议2012 Asia-Pacific Microwave Conference, APMC 2012
国家/地区中国台湾
Kaohsiung
时期4/12/127/12/12

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