Multi-sensor Single Maneuvering Target Tracking in Clutter using AMMPF

클러터를 고려한 다중 센서 환경에서의 AMMPF를 이용한 기동 표적 추적 알고리즘 연구

  • Kim Da-Sol (Dept. of Control and instrumentation Engineering, Hanyang Univ.) ;
  • Song Taek-Lyul (Dept. of Control and instrumentation Engineering, Hanyang Univ.) ;
  • Oh Won-Chun (Agency for Defense Development)
  • 김다솔 (한양대학교 전자전기제어계측공학과) ;
  • 송택렬 (한양대학교 전자전기제어계측공학과) ;
  • 오원천 (국방과학연구소)
  • Published : 2004.11.01

Abstract

In this article we consider a single maneuvering target Tracking algorithm in the presence of missing measurements and high clutter environments for multi-sensor target tracking problem. The tracking algorithm is based on the Particle filtering method to predict and update target states. Proposed is the AMM-PF(Auxiliary Multiple Model Particle Filter)[2] method for maneuvering target tracking to improve performance in track estimate and maintenance with a high level of uncertainty. The algorithm we propose is compared to the Extended Kalman Filter(EKF). A simulation study is included.

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