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Journal of Projectiles, Rockets, Missiles and Guidance >

2019 , Vol. 39 >Issue 4: 77 - 82

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2019.04.019

An Improved GM-CPHD Filtering Algorithm in Unknown Clutter Rate Environment

  • PENG Cong 1, 2 ,
  • WANG Jiegui 1, 2 ,
  • ZHU Kefan 1, 2
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  • 1 Electronic Countermeasures College, National University of Defense Technology, Hefei 230037, China
  • 2 Laboratory of Electronic Countermeasure Information Processing, Hefei 230037, China

Received date: 2018-07-10

  Online published: 2025-05-19

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Abstract

In view of the traditional cardinalized probability hypothesis density (CPHD) filtering algorithm has a poor tracking effect and heavy computation in the case of unknown clutter rate environment, an improved CPHD filtering algorithm under the unknown clutter rate environment is proposed. Based on the unknown condition of clutter rate, the algorithm proposes a CPHD filtering algorithm under the unknown condition of clutter rate, and the maximum likelihood adaptive threshold is introduced to solve the problem of high complexity in the CPHD filtering algorithm, and the updating step is carried out by using the measurement in the threshold. Experimental results show that the algorithm reduces the computation time while ensuring the tracking performance of the algorithm in clutter unknown conditions.

Key words： target tracking; cardinalized probability hypothesis density filtering algorithm; clutter rate unknown; maximum likelihood threshold; Gaussian mixture

Cite this article

PENG Cong , WANG Jiegui , ZHU Kefan . An Improved GM-CPHD Filtering Algorithm in Unknown Clutter Rate Environment[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2019 , 39(4) : 77 -82 . DOI: 10.15892/j.cnki.djzdxb.2019.04.019

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