Title of article
A faster data assignment algorithm for maximum likelihood-based multitarget motion tracking with bearings-only measurements Original Research Article
Author/Authors
Liang Chen، نويسنده , , Naoyuki Tokuda، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2001
Pages
12
From page
109
To page
120
Abstract
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.
Keywords
Hungarian algorithm , Data association problem , Bearings-only measurement , Multitarget motion tracking
Journal title
Mathematics and Computers in Simulation
Serial Year
2001
Journal title
Mathematics and Computers in Simulation
Record number
853811
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