|
|
|
| Study of SAR Side-lobe Suppression Based on Compressed Sensing |
| Kou Bo①②③ Jiang Hai①②③ Liu Lei①②③ Zhang Bing-chen①② |
| ①Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China ②The National Key Laboratory of Microwave Imaging Technology, Beijing 100190, China ③Graduate University of Chinese Academy of Sciences, Beijing 100039, China |
|
|
|
|
Abstract Compressed sensing provides a new technique for solving an underdetermined system of linear equations according to sparse nature of its solutions. In this paper, the SAR side-lobe reduction technique based on compressed sensing is proposed. Under the high signal to noise ratio condition, the side-lobe can be suppressed at no cost of resolution of the image, and super-resolution can be also achieved when the scatters are sufficiently sparse; At low SNR is not only a better suppression of the side-lobe, but also inhibit the effect of noise. One-dimensional, two-dimensional and actual data processing verified the validity of this algorithm.
|
|
Received: 26 January 2010
|
|
|
|
Corresponding Authors:
Kou Bo
E-mail: zhuangzhilingyu126@126.com
|
|
|
|
|
|
|
2010, Vol. 32 
