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Journal of Projectiles, Rockets, Missiles and Guidance >

2011 , Vol. 31 >Issue 3: 53 - 55,62

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2011.03.014

MISSILES AND GUIDANCE TECHNOLOGY

Maneuvering Target Tracking with Probability Hypothesis Density Filter Algorithm and Its Comparability

  • LIU Feng ,
  • WU Xiaojun
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  • School of Information Engineering, Jiangnan University, Jiangsu Wuxi 214122, China

Received date: 2010-08-05

  Online published: 2025-05-30

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Abstract

In multi-target tracking problem, if the number of targets is unknown or varies with time, the tracking algorithms' applications in identified target including joint probabilistic data association (JPDA) become difficult to deal with, but the target set is taken as a random set by probability hypothesis density (PHD), thus data association is avoided. In this article, the PHD was compared with the JPDA. The simulation results show that PHD algorithm can be used to track a changing number of targets in clutter, and is much less than other algorithm in the time complexity in the same simulation.

Key words： multi-target tracking; probability hypothesis density; random sets; joint probabilistic data association

Cite this article

LIU Feng , WU Xiaojun . Maneuvering Target Tracking with Probability Hypothesis Density Filter Algorithm and Its Comparability[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2011 , 31(3) : 53 -55,62 . DOI: 10.15892/j.cnki.djzdxb.2011.03.014

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