Information Fusion Passive Location Filtering Algorithm

摘要：

　　In single-station bearings-only passive location system,the localization precision and system stability are always not satisfied with the requirements of the modern electronic warfare because only angle measurement signal is presented.This paper applied to solve the state estimation problem of the passive location system using information fusion technique,improves the estimation precision and increases the system stability without adding any measurement stations.Furthermore,using scalar-weighted information fusion criterion,an information fusion passive location filter is proposed for multi-sensor system with correlated observation noises.And we use the unscented particle filter to calculate the local state estimation values.Finally,a three-sensor simulation example validates the performance of our proposed algorithm.

关键词： Information Fusion Passive Location Unscented Particle Filter

作者: Mao Lin Yang Da wei

作者单位: Department of Electronic Engineering, Heilongjiang University, Harbin 150080, China College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001,

会议类型: 国际会议

会议名称: the 25th Chinese Control and Decision Conference(第25届中国控制与决策会议)

会议地点: 贵阳

会议语种:英文

页码: 1874-1877

在线出版日期: 2013-05-01（万方平台首次上网日期，不代表论文的发表时间）