A New Data Association Algorithm for Multi-target Tracking in a Cluttered Environment
نویسنده
چکیده
Y. M. Chen Dept. of Industrial Engineering and Management, Yuan Ze University ,Taoyuan, Taiwan,ROC.. chenyeeming@[email protected] Abstract –This paper presents a new multi-target data association algorithm for radar tracking which we call the Fuzzy data association (FDA). This approach is formulated using the extended Kalman filter and FDA is accomplished using the fuzzy logic algorithm. Simulation results for heavily cluttered conditions show that the tracking performance of the proposed algorithm is better than the probabilistic data association (PDA) or the joint probabilistic data association (JPDA) filter.
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