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ACTA AERONAUTICAET ASTRONAUTICA SINICA ›› 2013, Vol. 34 ›› Issue (12): 2785-2793.doi: 10.7527/S1000-6893.2013.0338

• Electronics and Control • Previous Articles     Next Articles

PHD for Composite Tracking Algorithm Based on Asynchronous Multi-sensor Multi-target Measurements

WU Xinhui1,2, HUANG Gaoming1, GAO Jun1   

  1. 1. College of Electronic Engineering, Naval University of Engineering, Wuhan 430033, China;
    2. Automatization of Command Institute, Academy of Navy Equipment, Beijing 100036, China
  • Received:2012-12-25 Revised:2013-07-11 Online:2013-12-25 Published:2013-09-05

Abstract:

The current composite tracking algorithms are computationally intractable and may lose target tracks in the undetected region. In order to solve these problems, a new composite tracking algorithm based on the probability hypothesis density (PHD) algorithm is proposed. The detection region is divided into a one-sensor region, a multiple-sensor region and an undetected region. Multi-sensor PHD filters for the regions are constructed using finite sets statistics theory (FISST). Tracking initiation and tracking maintenance methods for different regions are presented. Finally, the closed-form solutions to the PHD composite tracking algorithm are derived under the linear-Gaussian conditions. Compared with the product multi-sensor PHD, simulation results show that the proposed algorithm has lower computational complexity and better estimation of target states, which indicates its good prospect for application in engineering fields.

Key words: random finite set, multi-target composite tracking, multi-sensor multi-target tracking, probability hypothesis density, product multi-sensor PHD

CLC Number: