A Gaussian Particle Filter for Track-Before-Detect

摘要：

A novel track-before-detect algorithm is proposed to perform detection and tracking a weak target in radar measurements. Firstly, a Gaussian particle filter based track before detect is presented for tracking target. Secondly because of the Gaussian particle filter is only tracking algorithm and can not perform detection target, the likelihood ratio based the Gaussian particle filter is derived. Finally based oci this deduction, sequential fixed size (FSS) likelihood ratio test (LRT) is used to detect target. Sim ulation results show that this novel algorithm can realized detection and tracking a weak target simultaneously, and the performance of detection and tracking is improved than the particle filter.

关键词： track-before-detect Gaussian particle filter sequential fixed size likelihood ratio test

作者: Ling Fan Xiaoling Zhang

作者单位: School of Physics and Electronic Engineering, School of Electronic Engineering Leshan Normal University of China, University of Electronic Science and Technology of China Leshan,

会议类型: 国际会议

会议名称: 2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)

会议地点: 大连

会议语种:英文

页码: 1149-1152

在线出版日期: 2010-07-05（万方平台首次上网日期，不代表论文的发表时间）