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

Bailing Ren; Shiyong Li; Houjun Sun

doi:10.1109/APMC.2012.6421904

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

Bailing Ren^*, Shiyong Li, Houjun Sun

^*Corresponding author for this work

School of Integrated Circuits and Electronics

Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

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.

Original language	English
Title of host publication	2012 Asia-Pacific Microwave Conference, APMC 2012 - Proceedings
Pages	1307-1309
Number of pages	3
DOIs	https://doi.org/10.1109/APMC.2012.6421904
Publication status	Published - 2012
Event	2012 Asia-Pacific Microwave Conference, APMC 2012 - Kaohsiung, Taiwan, Province of China Duration: 4 Dec 2012 → 7 Dec 2012

Publication series

Name	Asia-Pacific Microwave Conference Proceedings, APMC

Conference

Conference	2012 Asia-Pacific Microwave Conference, APMC 2012
Country/Territory	Taiwan, Province of China
City	Kaohsiung
Period	4/12/12 → 7/12/12

Keywords

Compressed sensing
Smoothed L0
matched filter processing
paraxial Green function
security detection
sparse objects
two dimensional imaging

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10.1109/APMC.2012.6421904

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title = "An algorithm based on the compressed sensing for near range two dimensional imaging",

abstract = "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.",

keywords = "Compressed sensing, Smoothed L0, matched filter processing, paraxial Green function, security detection, sparse objects, two dimensional imaging",

author = "Bailing Ren and Shiyong Li and Houjun Sun",

year = "2012",

doi = "10.1109/APMC.2012.6421904",

language = "English",

isbn = "9781457713309",

series = "Asia-Pacific Microwave Conference Proceedings, APMC",

pages = "1307--1309",

booktitle = "2012 Asia-Pacific Microwave Conference, APMC 2012 - Proceedings",

note = "2012 Asia-Pacific Microwave Conference, APMC 2012 ; Conference date: 04-12-2012 Through 07-12-2012",

}

Ren, B, Li, S & Sun, H 2012, An algorithm based on the compressed sensing for near range two dimensional imaging. in 2012 Asia-Pacific Microwave Conference, APMC 2012 - Proceedings., 6421904, Asia-Pacific Microwave Conference Proceedings, APMC, pp. 1307-1309, 2012 Asia-Pacific Microwave Conference, APMC 2012, Kaohsiung, Taiwan, Province of China, 4/12/12. https://doi.org/10.1109/APMC.2012.6421904

An algorithm based on the compressed sensing for near range two dimensional imaging. / Ren, Bailing; Li, Shiyong ; Sun, Houjun.
2012 Asia-Pacific Microwave Conference, APMC 2012 - Proceedings. 2012. p. 1307-1309 6421904 (Asia-Pacific Microwave Conference Proceedings, APMC).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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

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