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Data association for passive sensor based on improved partheno-genetic algorithm

  • Hang Liu*
  • , Li Hua Dou
  • , Bin Xin
  • , Ling Xun Dong
  • *Corresponding author for this work
  • Beijing Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

The data association for two passive sensors is concerned. The mathematical model of joint data association for two passive sensors is established. The problem of searching for a maximum of the posterior probability is transformed into a particular assignment problem, then a improved partheno-genetic algorithm is proposed to solve it and the closeness and accessibility of the method are proved. Simulation results show that the proposed method has the character of fast convergence and high association accuracy, which indicates the effectiveness and feasibility of the model.

Original languageEnglish
Pages (from-to)464-467+472
JournalKongzhi yu Juece/Control and Decision
Volume23
Issue number4
Publication statusPublished - Apr 2008

Keywords

  • Data association
  • Partheno-genetic algorithm
  • Passive sensor

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