Bayesian track-before-detect algorithm for nonstationary sea clutter  

作　　者：XU Cong HE Zishu LIU Haicheng LI Yadan 

机构地区：[1]Department of Information and Communication,University of Electronic Science and Technology of China,Chengdu 610051,China [2]Department of Electrical and Information Engineering,Heilongjiang Institute of Engineering,Harbin 150026,China [3]College of Economics and Management,University of Chinese Academy of Sciences,Beijing 100049,China

出　　处：《Journal of Systems Engineering and Electronics》2021年第6期1338-1344,共7页系统工程与电子技术（英文版）

基　　金：supported by the National Natural Science Foundation of China(61671139)。

摘　　要：Radar detection of small targets in sea clutter is a particularly demanding task because of the nonstationary characteristic of sea clutter.The track-before-detect(TBD)filter is an effective way to increase the signal-to-clutter ratio(SCR),thus improving the detection performance of small targets in sea clutter.To cope with the nonstationary characteristic of sea clutter,an easily-implemented Bayesian TBD filter with adaptive detection threshold is proposed and a new parameter estimation method is devised which is integrated into the detection process.The detection threshold is set according to the parameter estimation result under the framework of information theory.For detection of closely spaced targets,those within the same range cell as the one under test are treated as contribution to sea clutter,and a successive elimination method is adopted to detect them.Simulation results prove the effectiveness of the proposed algorithm in detecting small targets in nonstationary sea clutter,especially closely spaced ones.

关 键 词：small target track-before-detect(TBD) nonstationary sea clutter closely spaced target 

分 类 号：TN957.51[电子电信—信号与信息处理] TN713[电子电信—信息与通信工程]