Compressed sensing radar imaging based on random convolution

被引：1
|
作者：
Liu J.-H. [1 ]
Xu S.-K. [1 ]
Gao X.-Z. [1 ]
Li X. [1 ]
机构：
[1] Institute of Space Electronic Technology, National University of Defense Technology
来源：
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2011年 / 33卷 / 07期
关键词：
Compressed sensing (CS); Downsampling; Radar imaging; Random convolution;
D O I：
10.3969/j.issn.1001-506X.2011.07.11
中图分类号：
学科分类号：
摘要：
Compressed sensing (CS) theory provides great possibilities for resolving many problems associated with high resolution radar, such as the high sampling rate of large bandwidth, challenges to the memory, transmission and processing of immense data. CS by random convolution is a universally efficient data acquisition strategy and easy to realize. The radar imaging technique based on CS by random convolution is taken into research and different downsampling strategies in random measurement scheme are analyzed. Experiments from simulated data and real data verify the validity of the proposed imaging method, and the influences of signal to noise ratio (SNR) and sample number on imaging performance under different downsampling strategies are analyzed and compared.
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收藏
页码：1485 / 1490
页数：5
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