Analysis of Detecting Target in Sea Clutter Using Decoupled Echo State Network

摘要：

This letter use echo state network (ESN) and three decoupled echo state network (DESN) to predict the sea clutter time series and detect target embedded in sea clutter. The performance of predicting and detecting using these methods is compared. A set of time series from 1P1X radar data is tested. Numerical experiments reveal that DESN with maximum available information (DESN+Maxlnfo) and DESN with reservoir prediction (DESN+RP) show higher prediction precision in pure sea clutter data. ESN has the better effect for detecting target in sea clutter.

关键词： sea clutter delecting target echo state network decoupled echo state network

作者: Zhan Xu Jianwei Wan Fang Su Yanbo Xue

作者单位: School of Electronic Science and Engineering University of Defense Technology Changsha, 410073, Chin Department of Mechanical Engineering McMaster Institute Hamilton, Ontario, L8S 4L7, Canada

会议类型: 国际会议

会议名称: 2012 IEEE 3rd International Conference on Software Engineering and Service Science(第三届IEEE软件工程与服务科学国际会议 ICSESS2010)

会议地点: 北京

会议语种:英文

页码: 492-495

在线出版日期: 2012-06-22（万方平台首次上网日期，不代表论文的发表时间）