Multiple Target Localization Based on Probability Fusion by Spatial Association

摘要：

In detecting multiple targets by means of opportunity transmitters,parameter fusion of multiple sensors is a difficulty, which makes it expensive for the system to detect large numbers of targets simultaneously.This paper proposes a new positioning algorithm in the context of multiple non-cooperative illuminators, multiple sensors,to observe multiple targets.Firstly,each sensor extracts the TDOA of multipath and reconstructs the probability density function (PDF)of real parameters.Secondly,the central processing station fuses the probability from all PDFs according to the spatial association.Finally,the centre localizes the targets by multipeak searching on the fused probability function.This algorithm needs no pretreatment of parameter pairing,since all the TDOA values are matched automatically in the course of fusion.The algorithm has the advantage of inhibiting bad parameters to some extent.Numerical simulations support the characters of the new algorithm.

关键词： Multiple target localization Opportunity transmitter Multistatic radar Spatial association Probability fusion

作者: Jiang Wu Ying Wu Hanying Hu

作者单位: Zhengzhou Information Science and Technology Institute Zhengzhou,Henan Province,China

会议类型: 国际会议

会议名称: 2008 IEEE International Conference on Onformation and Automation(IEEE 信息与自动化国际会议)

会议地点: 张家界

会议语种:英文

页码: 1417-1421

在线出版日期: 2008-06-20（万方平台首次上网日期，不代表论文的发表时间）