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Iterative Joint Integrated Probabilistic Data Association for Multitarget Tracking

Title
Iterative Joint Integrated Probabilistic Data Association for Multitarget Tracking
Author
송택렬
Keywords
SPLITTING FILTER; MULTIPLE TARGETS; CLUTTER; ALGORITHM
Issue Date
2015-01
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, v. 51, No. 1, Page. 642-653
Abstract
"In situations with a significant number of targets in mutual proximity (close to each other), optimal multitarget data association approach suffers from the numerical explosion. This severely limits the applicability, i.e., the number of close targets that may be reliably tracked. We propose an iterative implementation of the joint integrated probabilistic data association (JIPDA) which allows a performance/computation resources tradeoff. This approach can also be incorporated into joint integrated track splitting (JITS). The iterations start with the single target integrated probabilistic data association (IPDA) and each subsequent iteration improves the approximation towards JIPDA, reaching the optimal multitarget solution within a finite number of iterations."
URI
http://ieeexplore.ieee.org/abstract/document/7073519/http://hdl.handle.net/20.500.11754/35412
ISSN
0018-9251; 1557-9603
DOI
10.1109/TAES.2014.130571
Appears in Collections:
COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > ELECTRICAL ENGINEERING(전자공학부) > Articles
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