Unscented fuzzy tracking algorithm for maneuvering target

  • Authors:

  • Shi-qiang Hu;Li-wei Guo;Zhong-liang Jing

  • Affiliations:

  • College of Informatics and Electronics, Hebei University of Science and Technology, Shijiazhuang, China;College of Informatics and Electronics, Hebei University of Science and Technology, Shijiazhuang, China;Institute of Informatics and Electronics, Shanghai Jiaotong University, Shanghai, China

  • Venue:
  • FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I
  • Year:
  • 2005

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Abstract

A novel adaptive algorithm for tracking maneuvering targets is proposed in this paper. The algorithm is implemented with fuzzy filtering and unscented transformation. A fuzzy system allows the filter to tune the magnitude of maximum accelerations to adapt to different target maneuvers. Unscented transformation act as a method for calculating the statistics of a random vector. A bearing-only tracking scenario simulation results show the proposed algorithm has a robust advantage over a wide range of maneuvers.