Maneuvering Target Tracking and Track Association Based on ET-EMIE-GMPHD Algorithm
Received date: 2017-07-04
Online published: 2025-05-30
迟珞珈 , 冯新喜 . 基于ET-EMIE-GMPHD 的机动目标跟踪及航迹关联[J]. 弹箭与制导学报, 2018 , 38(3) : 37 -42,45 . DOI: 10.15892/j.cnki.djzdxb.2018.03.009
To deal with the inefficient maneuvering target tracking and the unknown track association for the extended target Gaussian-mixture probability hypothesis density in clutter environment, we propose an improved modified input estimation(MIE). Index fading factors are introduced to MIE algorithm which can adjust the corresponding filter gain to achieve adaptive extended target tracking. Meanwhile, an improved tracking association algorithm is proposed based on the distance matrix Simulation results show that the proposed algorithm has a good tracking precision and can give the right intensive extended target tracking information. The algorithm also has great robustness and strong anti-disturbance ability.
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