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A Study on Fuzzy Interacting Multiple Model Algorithm for Maneuvering Target Tracking  

Kim Hyun-Sik (Agency for Defense Development)
Kim Jin-Soek (Agency for Defense Development)
Hwang Soo-Bok (Agency for Defense Development)
Publication Information
Journal of the Korea Institute of Military Science and Technology / v.7, no.4, 2004 , pp. 5-12 More about this Journal
Abstract
The tracking algorithm based on the interacting multiple model(IMM) requires a considerable number of sub-models for the various maneuvering targets in order to have a good performance. But it is not feasible to use the nm algorithm in the real system because of the computational burden. Therefore, we need an algorithm which requires less computing resources while maintaining a good performance. In this paper, we propose a fuzzy interacting multiple model algorithm(FIMMA) for the tracking of maneuvering targets, which uses a minimal number of sub-models by considering the maneuvering properties and adjusts the mode transition probabilities by using the mode probability as a fuzzy input. In order to verify the performance of FIMMA, the developed algorithm is applied to the tracking of i borne targets. Simulation results show that the FIMMA is very effective in the tracking of maneuvering targets.
Keywords
퍼지 상호작용 다중 모델 알고리즘;모델 천이 확률;기동 표적 추적;
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