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ACTA AERONAUTICAET ASTRONAUTICA SINICA ›› 2018, Vol. 39 ›› Issue (10): 322247-322247.doi: 10.7527/S1000-6893.2018.22247

• Electronics and Electrical Engineering and Control • Previous Articles     Next Articles

Multi-target tracking algorithm based on amplitude and Doppler information

PENG Huafu1,2, HUANG Gaoming1, TIAN Wei1, QIU Hao1   

  1. 1. College of Electronic Engineering, Naval University of Engineering, Wuhan 430033, China;
    2. Unit 92773 of PLA, Wenzhou 325807, China
  • Received:2018-04-26 Revised:2018-07-27 Online:2018-10-15 Published:2018-08-01
  • Supported by:
    China Postdoctoral Science Foundation (2017M613370)

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: