클러터 환경에서 표적추적 성능개선을 위한 이종센서 정보융합 기법 연구

Abstract

This paper is the result of target tracking and information fusion technologies for an antiship missile equipped with a dual mode seeker which consists of micro-wave and IIR sensors. Analyzing performance of candidate tracking filters, this paper selects the ITSF for the micro-wave sensor among the other filters best. In the IIR sensor's case, the IHPDAF with a modification that does not utilize signal intensity information directly in the algorithm is used. After selecting tracking filters, a serial data fusion algorithm is used as a centralized fusion method for rubust multi-sensor target tracking. It is concluded that the data fusion algorithm for the above two sensors shows good performance in tracking. A 3D simulation tool created by Direct X is utilized for evaluation of the tracking and fusion algorithms.