Efficient Target Tracking with Adaptive Resource Management using a Passive Sensor

수동센서를 이용한 효율적인 표적추적을 위한 적응적 자원관리 알고리듬 연구

  • Kim, Woo Chan (Electronic Systems Engineering, Hanyang University) ;
  • Lee, Haeho (Combat System R&D Lab, LIG Nex1 Co., Ltd.) ;
  • Ahn, Myonghwan (Combat System R&D Lab, LIG Nex1 Co., Ltd.) ;
  • Lee, Bum Jik (Submarine Combat System Part, Daewoo Shipbuilding & Marine Engineering) ;
  • Song, Taek Lyul (Electronic Systems Engineering, Hanyang University)
  • 김우찬 (한양대학교 전자시스템공학과) ;
  • 이해호 (LIG Nex1 전투체계연구센터) ;
  • 안명환 (LIG Nex1 전투체계연구센터) ;
  • 이범직 (대우조선해양 전투체계파트) ;
  • 송택렬 (한양대학교 전자시스템공학과)
  • Received : 2016.03.08
  • Accepted : 2016.06.13
  • Published : 2016.07.01


To enhance tracking efficiency, a target-tracking filter with a resource management algorithm is required. One of the resource management algorithms chooses or evaluates the proper sampling time using cost functions which are related to the target tracking filter. We propose a resource management algorithm for bearing only tracking environments. Since the tracking performance depends on the system observability, the bearing-only tracking is one of challenging target-tracking fields. The proposed algorithm provides the adaptive sampling time using the variation rate of the error covariance matrix from the target-tracking filter. The simulation verifies the efficiency performance of the proposed algorithm.


Supported by : LIG넥스원


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