Compressive RCS Measurements

作者：Zhao, Guoqiang^*; Li, Shiyong; Li, Zhangfeng; Liu, Fang; Sun, Houjun

来源：Circuits, Systems, and Signal Processing, 2015, 34(4): 1379-1389.

DOI：10.1007/s00034-014-9888-0

• Radar cross section (RCS)
• Compressive sensing (CS)
• Sparse expansion
• Convex optimization

A compressive radar cross section (RCS) measurement method is presented in this paper. This method relies on the theory of compressive sensing (CS). We first show that the RCS data have sparse expansions in some proper basis. According to the theory of CS, the full RCS data can be recovered from the partial measured data by convex optimization algorithms. Comparisons of the compressive measurement method and the traditional measurement method are demonstrated by means of numerical simulations as well as by real data measured in the outdoor range.

• 单位
  北京理工大学