Multisensor Distributed Track Fusion AlgorithmBased on Strong Tracking Filter and Feedback Integration^1）

作     者：YANGGuo-Sheng WENCheng-Lin TANMin 

作者机构：InstituteofAutomationChineseAcademyofSciencesBeijing100080 InstituteofComputerandInformationEngineeringHenanUniversityKaifeng475001 

出 版 物：《自动化学报》 (Acta Automatica Sinica)

年 卷 期：2004年第30卷第2期

页      面：244-250页

核心收录：

学科分类：0810[工学-信息与通信工程] 08[工学] 080401[工学-精密仪器及机械] 0804[工学-仪器科学与技术] 080402[工学-测试计量技术及仪器] 0835[工学-软件工程] 081002[工学-信号与信息处理] 

基　　金：国家863计划 国家973计划 

主　　题：数据融合 数据关联算法 数据处理 多传感器分布式航迹融合算法 仿真 状态估计 

摘      要：A new multisensor distributed track fusion algorithm is put forward based on combiningthe feedback integration with the strong tracking Kalman filter. Firstly, an effective tracking gateis constructed by taking the intersection of the tracking gates formed before and after ***, on the basis of the constructed effective tracking gate, probabilistic data association andstrong tracking Kalman filter are combined to form the new multisensor distributed track fusionalgorithm. At last, simulation is performed on the original algorithm and the algorithm presented.