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.
寇波, 江海, 刘磊, 张冰尘. 基于压缩感知的SAR抑制旁瓣技术研究[J]. 电子与信息学报, 2010, 32(12): 3022-3026.
Kou Bo, Jiang Hai, Liu Lei, Zhang Bing-Chen. Study of SAR Side-lobe Suppression Based on Compressed Sensing. , 2010, 32(12): 3022-3026.
2010, Vol. 32 
