ISAR Imaging Based On Antenna Array and Compressed Sensing
Compressed sensing (CS) has recently attracted much interest for its ability to recovery a sparse signal with very limited number of samples. In this paper, we adapt this idea and present a framework of high-resolution ISAR imaging based on antenna array. During the framework, linear antenna array is analyzed and compared with different conventional algorithms. Numerical simulation results confirmed the validity of the proposed algorithm.
Radar imaging Antenna Array Compressed Sensing
Zhong Li-hua Hu Dong-hui Ding Chi-biao
Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China Graduate University of Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China Key Laboratory of Techn
国际会议
2011 IEEE CIE International Conference on Radar(2011年IEEE国际雷达会议RADAR 2011)
成都
英文
1547-1550
2011-10-24(万方平台首次上网日期,不代表论文的发表时间)