一种适应密集杂波环境的改进JPDA算法

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中图分类号：TN95；E919 文献标志码：A DOI：10.3969/j.issn.1673-3819.2025.06.014

引用格式：张演相，向龙凤，徐军.一种适应密集杂波环境的改进JPDA算法[J].指挥控制与仿真，2025，47（6）：101-109.ZHANGYX，XIANGLF，XUJ.AmodifiedJPDAalgorithmadapted todensecluterenvironments[J].CommandControl&Simula-tion，2025，47（6） ：101-109

Abstract：ToaddressthecomplexityoftheJointProbabilisticDataAssociation（JPDA）algorithm，whichisunsuitablefor real-timemulti-targettrackingincomplexelectromagneticenvironments，thispaperproposesaModifiedJointProbabilistic DataAssociation（MJPDA）algorithm.First，theassociationmatrix isredefinedbytaking multiplefactorsintoaccount，and theasociationprobabilityiscalculated.Next，thecorrelatioprobabilityofpublicmeasurementsindensecluteriscorrte byintroducing the Mahalanobisdistanceforsecondary weightingof public measurements，whilealsoconsideringtheinfluence of both publicandnon-publicmeasurements.Finally，thecorrctedassociationprobabilityiscomputed.Thisalgorithmavoidstheneedtosplittheconfirmationmatrix，effectivelyaddressngtheexponential growthincomputationalcomplexityof theJPDAalgorithmascluterdensityincreases.TheoreticalanalysisandMonteCarlosimulationresultsdemonstratethatthe improvedalgorithmoffersgoodtrackingperformancewithreducedcomputationalloadindensecluterenvironments，significantly enhancing real-time performance.

Keywords：multitargettracking；jointprobabilistic dataassociationalgorithm（JPDA）；secondary weighting; association probability

数据关联问题是多目标跟踪领域的一个研究焦点，也是目标跟踪的难点之一。（剩余9798字）