New Multi-Target Data Association Using OSJPDA Algorithm for Automotive Radar
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%.
- Publication
- IEICE TRANSACTIONS on Electronics Vol.E84-C No.8 pp.1077-1083
- Publication Date
- 2001/08/01
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- PAPER
- Category
- Microwaves, Millimeter-Waves
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Moon-Sik LEE, Yong-Hoon KIM, "New Multi-Target Data Association Using OSJPDA Algorithm for Automotive Radar" in IEICE TRANSACTIONS on Electronics,
vol. E84-C, no. 8, pp. 1077-1083, August 2001, doi: .
Abstract: 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%.
URL: https://global.ieice.org/en_transactions/electronics/10.1587/e84-c_8_1077/_p
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@ARTICLE{e84-c_8_1077,
author={Moon-Sik LEE, Yong-Hoon KIM, },
journal={IEICE TRANSACTIONS on Electronics},
title={New Multi-Target Data Association Using OSJPDA Algorithm for Automotive Radar},
year={2001},
volume={E84-C},
number={8},
pages={1077-1083},
abstract={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%.},
keywords={},
doi={},
ISSN={},
month={August},}
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TY - JOUR
TI - New Multi-Target Data Association Using OSJPDA Algorithm for Automotive Radar
T2 - IEICE TRANSACTIONS on Electronics
SP - 1077
EP - 1083
AU - Moon-Sik LEE
AU - Yong-Hoon KIM
PY - 2001
DO -
JO - IEICE TRANSACTIONS on Electronics
SN -
VL - E84-C
IS - 8
JA - IEICE TRANSACTIONS on Electronics
Y1 - August 2001
AB - 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%.
ER -
English
