Title :
New data association method for automotive radar tracking
Author :
Lee, M.-S. ; Kim, Y.-H.
Author_Institution :
Dept. of Mechatronics, Kwangju Inst. of Sci. & Technol., South Korea
fDate :
10/1/2001 12:00:00 AM
Abstract :
An improved multi-target data association method for automotive radar is presented. The new approach is formulated using the association probabilities of the joint probabilistic data association (JPDA) filter. An optimal track-to-measurement data association is accomplished using the decision logic algorithm. Simulation results in heavily cluttered conditions show that the tracking accuracy of the proposed method is about 19% better than that of the JPDA filter
Keywords :
filtering theory; probability; radar clutter; radar tracking; road vehicle radar; target tracking; tracking filters; JPDA filter; association probabilities; automotive radar tracking; computer simulation results; decision logic algorithm; joint probabilistic data association filter; multi-target data association method; optimal track-to-measurement data association; radar clutter; tracking accuracy;
Journal_Title :
Radar, Sonar and Navigation, IEE Proceedings -
DOI :
10.1049/ip-rsn:20010472
