Target detection of high-resolution radar in non-Gaussian clutter

摘要：

The high-resolution radar echo is modeled as a rangespread target. Based on the generalized likelihood ratio test design procedure, the range-spread target detection in spherically invariant random vector clutter is addressed. And a binary integrator with constant false alarm rate property is proposed to detect the whole range-spread target, after single target scatterer detection in each range cell. Finally, the performance assessment shows that, the detection performance is improved as the number of sensors used or the clutter spike increases, while it is robust to the clutter correlation.

关键词： spherically invariant random vector high-resolution radar target detection generalized likelihood ratio test Monte Carlo simulation

作者: Jian Tao Su Feng He You Gu Xuefeng Shen Jian

作者单位: Research Institute of Information Fusion, Naval Aeronautical and Astronautical University, Yantai, 2 Office of Research and Development, Naval University of Engineering, Wuhan, 430033, China

会议类型: 国际会议

会议名称: 2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)

会议地点: 北京

会议语种:英文

页码: 2047-2050

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）