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수동센서를 이용한 효율적인 표적추적을 위한 적응적 자원관리 알고리듬 연구
김우찬(Woo Chan Kim),이해호(Haeho Lee),안명환(Myonghwan Ahn),이범직(Bum Jik Lee),송택렬(Taek Lyul Song) 제어로봇시스템학회 2016 제어·로봇·시스템학회 논문지 Vol.22 No.7
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.