幅度及多普勒信息辅助的多目标跟踪算法

doi:10.7527/S1000-6893.2018.22247

Abstract

Abstract: To address the severe performance degradation of the existing Multi-Target Tracking (MTT) in high clutter environment, a novel Amplitude and Doppler Information assisted δ-Generalized Labeled Multi-Bernoulli (ADI-δ-GLMB) filter is proposed based on the theory of Random Finite Set (RFS). Firstly, the amplitude and Doppler information isintroduced to expand the target state, and a new function of measurement likelihood is established on this basis. Then, a new update equation is deduced based on the framework of the δ-GLMB filter. Finally, the simulation results show that the tracking performance of the proposed ADI-δ-GLMB filter is significantly better than that of the standard δ-GLMB filter, displaying higher estimation accuracy and stability, and a lower computational cost in dense clutter environment. In addition, the estimation accuracy of the proposed ADI-δ-GLMB filter is higher than that of the information assisted Probability Hypothesis Density (PHD) and Multi-target Multi-Bernoulli (MeMBer) filter.

Key words: multi-target tracking, random finite set, amplitude information, Doppler information, labeled multi-Bernoulli

CLC Number:

V243
TP391

PENG Huafu, HUANG Gaoming, TIAN Wei, QIU Hao. Multi-target tracking algorithm based on amplitude and Doppler information[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2018, 39(10): 322247-322247.

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Multi-target tracking algorithm based on amplitude and Doppler information

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