DocumentCode :
272822
Title :
Smoothing joint integrated probabilistic data association
Author :
Tae Han Kim ; MusÌŒicki, Darko ; Taek Lyul Song ; Chul Mok Lee
Author_Institution :
Dept. of Electron. Syst. Eng., Hanyang Univ., Ansan, South Korea
Volume :
9
Issue :
1
fYear :
2015
fDate :
1 2015
Firstpage :
62
Lastpage :
66
Abstract :
The authors extend the smoothing integrated probabilistic data association algorithm to multi-target tracking in clutter, or alternatively, use smoothing to improve the joint integrated probabilistic data association (JIPDA) algorithm. The predictions of forward and backward JIPDA are fused to form the smoothing prediction, which is used for smoothing multi-target data association.
Keywords :
clutter; probability; sensor fusion; smoothing methods; target tracking; JIPDA algorithm; clutter; multitarget data association smoothing; multitarget tracking; smoothing joint integrated probabilistic data association;
fLanguage :
English
Journal_Title :
Radar, Sonar & Navigation, IET
Publisher :
iet
ISSN :
1751-8784
Type :
jour
DOI :
10.1049/iet-rsn.2013.0347
Filename :
7021982
Link To Document :
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