摘要
基于快速数据关联FAFDA(fastalgorithmfordataassociation)滤波算法,根据Houles和Shalom将概率数据关联PDA(ProbabilisticDataAssociation)算法推广到解决两个传感器单目标的跟踪问题的思路,构造了一种两个同类传感器的序列观测数据的融合来跟踪多个机动目标的数据关联方法MSFAFDA(multiplesensorfastalgorithmfordataassoci ation)。本方法主要使用的是点 航迹联合和序列估计法,蒙特卡洛仿真结果表明方法对多机动目标的跟踪具有比FAFDA更好的跟踪性能。
Data association is an important problem of multiple maneuvering target tracking in clutters. A new algorithm i.e. MSFAFDA (multiple sensor fast algorithm for data association) based on FAFDA (fast algorithm for data association) is presented and the way by which Houles and Shalom applied PDA algorithm to track a single maneuvering target in clutters with two radar sensors is elaborated. The results of simulation show the method works as expected.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2004年第9期1271-1272,1295,共3页
Systems Engineering and Electronics
基金
航空基础科学基金项目资助课题(00B53008)
关键词
数据融合
多目标跟踪
多传感器快速数据关联算法
滤波
data fusion
multiple target tracking
multiple sensor fast algorithm for data association
filter
