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密集杂波环境下用于多目标跟踪的改进PDA算法
引用本文:周红波,耿伯英,周荣波. 密集杂波环境下用于多目标跟踪的改进PDA算法[J]. 火力与指挥控制, 2009, 34(3)
作者姓名:周红波  耿伯英  周荣波
作者单位:海军工程大学,湖北武汉,430033;中国地质大学信息工程学院,北京,100083
摘    要:概率数据关联(PDA)算法在密集波环境下跟踪单目标时具有良好的效果,但当跟踪多目标时,由于未能考虑相邻目标间的相互影响,因此效果不佳,针对PDA算法的不足,基于多目标跟踪中相邻目标间相互影响的特点,提出了一种新的改进概率数据关联(NIPDA)算法.新算法引入量测J属于目标t的概率Bjtk,并用其对关联概率进行修正,从而在计算互联概率时考虑了相邻目标间的影响.仿真结果表明,新算法在计算量与PDA算法相近的情况,提高了目标跟踪成功率.

关 键 词:多目标跟踪  数据关联  滤波  杂波

An Improved PDA Algorithm for Multi-target Tracking In Dense Clutter
ZHOU Hong-bo,GENG Bo-ying,ZHOU Rong-bo. An Improved PDA Algorithm for Multi-target Tracking In Dense Clutter[J]. Fire Control & Command Control, 2009, 34(3)
Authors:ZHOU Hong-bo  GENG Bo-ying  ZHOU Rong-bo
Affiliation:1.Navy University of Engineering;Wuhan 430033;China;2.College of Information Engineering;Eeological University of China;Beijing 100083;China
Abstract:Probabilistic data association algorithm has good effectiveness when tracking single target in dense clutter.But it is not effective when tracking multi-target,because it not consider interacting between near targets.Basing on the characteristic of interacting between near targets,a new improved PDA Algorithm is proposed in the paper.The new Algorithm import the probability of observation j belongs to target t,and modify the association probability using it.The results of simulation show that the new algori...
Keywords:multi-target tracking  data association  filter  clutter  
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