New multi-target data association using OSJPDA algorithm for automotive radar

Authors
Citation
Ms. Lee et Yh. Kim, New multi-target data association using OSJPDA algorithm for automotive radar, IEICE TR EL, E84C(8), 2001, pp. 1077-1083
Citations number
16
Language
INGLESE
art.tipo
Article
Categorie Soggetti
Eletrical & Eletronics Engineeing
Journal title
IEICE TRANSACTIONS ON ELECTRONICS
ISSN journal
0916-8524 → ACNP
Volume
E84C
Issue
8
Year of publication
2001
Pages
1077 - 1083
Database
ISI
SICI code
0916-8524(200108)E84C:8<1077:NMDAUO>2.0.ZU;2-X
Abstract
This paper presents a new multi-target data association method for automoti ve radar which we call the order statistics joint probabilistic data associ ation (OSJPDA). The method is formulated using the association probabilitie s of the joint probabilistic data association (JPDA) filter and an optimal target-to-measurement data association is accomplished using the decision l ogic algorithm. Simulation results for heavily cluttered conditions show th at the tracking performance of the OSJPDA filter is better than that of the JPDA filter in terms of tracking accuracy by about 18%.