A Novel Track-Before-Detect Algorithm for Weak Target

摘要：

In this paper, a novel track-before-detect algorithm is proposed for weak target with low signal to noise ratio. Multi-sensor information combining with track before-detect technology is used to improve the signal to noise ratio. According to frame sequences of each sensor, Rao-Biackwellized particle filter, which is a clever combination of the Kalman filter and the standard particle filter, is employed to obtain state estimation and likelihood ratio of the target. In the detection process, the proposed cusum joint detection is adopted to realize detection of target appearance and disappearance. Calculation of the disappearance statistic is started the moment a target is detected, which ensures the continuous detection of target appearance and shorter delay for the detection of target disappearance. Simulation results show the efficiency of the proposed algorithm.

关键词： Target appearance and disappearance Rao-Blackwellized particle filte Cusum joint detection

作者: Hui Guo Hong-bing Ji Bin Wu

作者单位: School of Electronic Engineering, Xidian University, Xian, P. R. China

会议类型: 国际会议

会议名称: 2009 International Workshop on Information Security and Application(2009 信息安全与应用国际研讨会)

会议地点: 青岛

会议语种:英文

页码: 39-42

在线出版日期: 2009-11-21（万方平台首次上网日期，不代表论文的发表时间）