Modified Murty's Algorithm for Diverse Multitarget Top Hypothesis Extraction

In most multiple hypothesis tracking (MHT) implementations, the data association is solved using Murty's algorithm. However, since Murty's algorithm has no control over the diversity of measurement-to-track associations, often, the top associations vary only slightly. To overcome this prob...

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Veröffentlicht in:IEEE transactions on aerospace and electronic systems Jg. 49; H. 1; S. 602 - 610
Hauptverfasser: Xiaofan He, Tharmarasa, R., Kirubarajan, T., Pelletier, M.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.01.2013
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Algorithm design and analysis
Clutter
Current measurement
Nickel
Partitioning algorithms
Target tracking
ISSN:0018-9251, 1557-9603
Online-Zugang:Volltext
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Zusammenfassung:In most multiple hypothesis tracking (MHT) implementations, the data association is solved using Murty's algorithm. However, since Murty's algorithm has no control over the diversity of measurement-to-track associations, often, the top associations vary only slightly. To overcome this problem and to provide more flexibility in the selection of hypotheses, a modified Murty's algorithm, which can achieve any user-defined (or adaptable) diversity of association of different types of tracks, is proposed.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0018-9251
1557-9603
DOI:10.1109/TAES.2013.6404123