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《Electronics Optics & Control》 2018-06
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Maneuvering Target Tracking Algorithm Based on IMM-Ultimate Iterative UFIR

WU Qing-hai;QU Zhao-yang;School of Electrical and Information Engineering,Jilin Agricultural Science and Technology University;School of Information Engineering,Northeast Dianli University;  
To improve the precision of maneuvering target tracking under non-Guassian noise condition,a tracking algorithm based on Interactive Multi-Model ultimate iterative Unbiased Finite Impulse Response( IMM-ultimate iterative UFIR) filter is proposed. The algorithm takes the ultimate iterative UFIR,which has lower sensitivity to errors in the noise statistics,as its sub-filter to estimate the state of each model,and the state of maneuvering target is obtained by fusing the states of multiple models. Simulation results show that:under complex noise conditions,IMM-iterative UFIR has a higher precision than that of the Interactive Multiple Model Kalman Filter( IMM-KF),and less calculation cost than that of IMM-PF,which has a good balancing between the tracking precision and calculation amount.
【Fund】: 吉林省科技发展计划项目(20180623004TC)
【CateGory Index】: TN713
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