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Joint tracking and classification based on aerodynamic model and radar cross section

  • Hong Jiang*
  • , Long Xu
  • , Kun Zhan
  • *Corresponding author for this work
  • Beihang University

Research output: Contribution to journalArticlepeer-review

Abstract

We present interacting multiple model regularized particle filter for the X-band active surveillance radar to jointly track and classify air threaten targets. The actual aerodynamic equations for flight are used as motion model, and automatic target classification is made possible by the inclusion of radar cross section in the measurement vector. Thus, tracking and classification are closely coupled, giving full play to the advantages of joint tracking and classification. The proposed methodologies show good performance according to simulations.

Original languageEnglish
Pages (from-to)3096-3105
Number of pages10
JournalPattern Recognition
Volume47
Issue number9
DOIs
StatePublished - Sep 2014

Keywords

  • Aerodynamic model
  • Interacting multiple model regularized particle filter
  • Joint tracking and classification
  • Radar cross section
  • X-band active radar

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