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Modified Murty's Algorithm for Diverse Multitarget Top Hypothesis Extraction

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4 Author(s)
Xiaofan He ; Dept. of Electr. & Comput. Eng., McMaster Univ., Hamilton, ON, Canada ; Tharmarasa, R. ; Kirubarajan, T. ; Pelletier, M.

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.

Published in:

Aerospace and Electronic Systems, IEEE Transactions on  (Volume:49 ,  Issue: 1 )

Date of Publication:

Jan. 2013

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