New Multi-Target Data Association Using OSJPDA Algorithm for Automotive Radar

Moon-Sik LEE  Yong-Hoon KIM  

Publication
IEICE TRANSACTIONS on Electronics   Vol.E84-C   No.8   pp.1077-1083
Publication Date: 2001/08/01
Online ISSN: 
DOI: 
Print ISSN: 0916-8516
Type of Manuscript: PAPER
Category: Microwaves, Millimeter-Waves
Keyword: 
joint probabilistic data association,  multi-target tracking,  data association,  automotive radar,  

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Summary: 
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%.