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密集杂波环境下多目标跟踪算法
引用本文:艾剑良,沈键,艾玲英. 密集杂波环境下多目标跟踪算法[J]. 系统工程与电子技术, 2004, 26(9): 1271-1272
作者姓名:艾剑良  沈键  艾玲英
作者单位:1. 复旦大学力学与工程科学系,上海,200433
2. 西北工业大学航空学院,陕西,西安,710072
基金项目:航空基础科学基金项目资助课题(00B53008)
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。

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
文章编号:1001-506X(2004)09-1271-02
修稿时间:2003-06-12

Fast algorithm for tracking multiple maneuvering targets in clutters
AI Jian-liang,SHEN Jian,AI Ling-ying. Fast algorithm for tracking multiple maneuvering targets in clutters[J]. System Engineering and Electronics, 2004, 26(9): 1271-1272
Authors:AI Jian-liang  SHEN Jian  AI Ling-ying
Affiliation:AI Jian-liang~1,SHEN Jian~2,AI Ling-ying~2
Abstract: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.
Keywords:data fusion  multiple target tracking  multiple sensor fast algorithm for data association  filter
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