J4 ›› 2013, Vol. 40 ›› Issue (4): 48-55.doi: 10.3969/j.issn.1001-2400.2013.04.008

• Original Articles • Previous Articles     Next Articles

Heterogeneous Markov chain model of the target existence variable for Bayesian track-before-detect

XIA Shuangzhi;YAN Junkun;DAI Fengzhou;LIU Hongwei   

  1.  (National Key Lab. of Radar Signal Processing, Xidian Univ., Xi'an  710071, China)
  • Received:2012-05-03 Online:2013-08-20 Published:2013-10-10
  • Contact: XIA Shuangzhi E-mail:hbxszd2000@163.com

Abstract:

In order to improve the detection performance of Bayesian track-before-detect, this paper proposes a heterogeneous Markov chain model for target existence variable. In the proposed model, the transition probability of the target existence variable is related with the posterior probability of target existence at the current time, which is more consistent with the transitions of target existence variable. Simulation results show that the detection performance can be improved by the proposed heterogeneous model compared with the traditional homogeneous model.

Key words: heterogeneous, Markov chain, Bayesian theory, track-before-detect

CLC Number: 

  • TN957.51

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