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

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  • Chen, Liang
  • Tokuda, Naoyuki

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.

Suggested Citation

  • Chen, Liang & Tokuda, Naoyuki, 2001. "A faster data assignment algorithm for maximum likelihood-based multitarget motion tracking with bearings-only measurements," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 57(1), pages 109-120.
    • Handle: RePEc:eee:matcom:v:57:y:2001:i:1:p:109-120
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    References listed on IDEAS

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    1. M. L. Balinski, 1985. "Signature Methods for the Assignment Problem," Operations Research, INFORMS, vol. 33(3), pages 527-536, June.
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