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