Research on tracking of maneuvering multi-target based on bionics for IRST system

  • Authors:

  • Hui Chen;Chongzhao Han;Yuchun Zhang

  • Affiliations:

  • Institute of Integrated Automation, School of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, China and Key Laboratory of Gansu Advanced Control for Industrial Processes, ...;Institute of Integrated Automation, School of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, China;School of International Economic and Management, Lanzhou University of Technology, Lanzhou, China

  • Venue:
  • The Journal of Supercomputing
  • Year:
  • 2011

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Abstract

This paper mainly studies bearing-only target tracking based on bionics for IRST system. Some solutions for the key problem are presented in order to apply in an actual bearing-only engineering system. They include sensor technology, measurement pretreatment technology, association gate technology, data association technology, state filtering technology, etc. The premise of these new approaches is designing an effective sensor system which can reliably search and track targets in a large range. Then, it is important to improve the confirming efficiency of the real target and limit false track overextension with the dense clutter. Then, tracking processing needs a precise target initialization information and association information between the existing target and isolated measurement. At the same time, the threat level of the bearing-only target needs to be estimated based on limited bearing-only information. Finally, aiming at unrecognized model and complex maneuvering motion for bearing-only target in polar coordinates, an effective approach of state filtering algorithm with appropriate computation cost will be given. The application of the proposed approach in an actual engineering system proves its effectiveness and practicability.