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基于粒子滤波和联合概率数据关联的目标跟踪算法
引用本文:王伟,刘双全.基于粒子滤波和联合概率数据关联的目标跟踪算法[J].电子技术,2009(4):30-32.
作者姓名:王伟  刘双全
作者单位:电子工程学院
摘    要:为了解决非线性非高斯系统下多目标跟踪问题,对基于粒子滤波和联合概率数据关联的目标跟踪算法进行了深入研究。在多目标聚集且目标跟踪门可能交叉时,考虑使用基于多目标组合采样的JPDA算法,在多目标聚集不严重时,考虑使用基于独立采样的JPDA算法。仿真结果表明:该方法可以有效地解决非线性非高斯下多目标跟踪问题。

关 键 词:非线性非高斯  粒子滤波  联合概率数据关联

Joint Probability Data Association Algorithm Based on Particle Filter
Wang Wei,Liu Shuang-quan.Joint Probability Data Association Algorithm Based on Particle Filter[J].Electronic Technology,2009(4):30-32.
Authors:Wang Wei  Liu Shuang-quan
Affiliation:Electronic Engineering Institute
Abstract:In order to solve non-linear and non-Gaussian multitarget estimation problems,we deeply research target tracking algorithm which based on particle filter and JPDA.When multitarget assemble heavily and the tracking gate may be cross,we consider using JPDA algorithm which samples multitarget together.When multitarget assemble not heavily,we consider using JPDA algorithm which samples multitarget separate.The simulation indicates that this algorithm can effectively solve non-linear and non-Gaussian multitarget...
Keywords:non-linear and non-Gaussian  Particle Filter  Joint Probability Data Association  
本文献已被 CNKI 维普 万方数据 等数据库收录!
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