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New Multi-Target Data Association Using OSJPDA Algorithm for Automotive Radar
Moon-Sik LEE Yong-Hoon KIM
IEICE TRANSACTIONS on Electronics
Publication Date: 2001/08/01
Print ISSN: 0916-8516
Type of Manuscript: PAPER
Category: Microwaves, Millimeter-Waves
joint probabilistic data association, multi-target tracking, data association, automotive radar,
Full Text: PDF(694.5KB)>>
This paper presents a new multi-target data association method for automotive radar which we call the order statistics joint probabilistic data association (OSJPDA). The method is formulated using the association probabilities of the joint probabilistic data association (JPDA) filter and an optimal target-to-measurement data association is accomplished using the decision logic algorithm. Simulation results for heavily cluttered conditions show that the tracking performance of the OSJPDA filter is better than that of the JPDA filter in terms of tracking accuracy by about 18%.