A faster data assignment algorithm for maximum likelihood-based multitarget motion tracking with bearings-only measurements

We have proved a new rotational sorting algorithm capable of reducing the complexity of data assignment process embedded in the maximum likelihood (ML)-based solution of a multitarget tracking problem from O(N3) of the conventional Hungarian type routines to O(N2) provided that the bearings-only measurements from an array of passive sensors are free from cluttering and missing data.

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Year of publication:	2001
Authors:	Chen, Liang ; Tokuda, Naoyuki
Published in:	Mathematics and Computers in Simulation (MATCOM). - Elsevier, ISSN 0378-4754. - Vol. 57.2001, 1, p. 109-120
Publisher:	Elsevier
Subject:	Bearings-only measurement \| Multitarget motion tracking \| Data association problem \| Hungarian algorithm

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Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://ebvufind01.dmz1.zbw.eu/10010749667