Target acquisition/selection: a comparison between a Bayesian technique and the Munkres algorithm

Neil J. Gordon; David J. Salmond; Nicholas O. Everett

doi:10.1117/12.317519

30 July 1998 Target acquisition/selection: a comparison between a Bayesian technique and the Munkres algorithm

Neil J. Gordon, David J. Salmond, Nicholas O. Everett

Proceedings Volume 3365, Acquisition, Tracking, and Pointing XII; (1998) https://doi.org/10.1117/12.317519
Event: Aerospace/Defense Sensing and Controls, 1998, Orlando, FL, United States

Abstract

A Bayesian technique is applied to the target acquisition problem at handover from the fire control to the missile seeker. This is a multiple hypothesis scheme which includes an explicit model of the possible misalignment or bias between the fire control and seeker coordinate frames. This method is compared with a linear least cost assignment technique which may be implemented via the Munkres fast search algorithm.

Citation Download Citation

Neil J. Gordon, David J. Salmond, and Nicholas O. Everett "Target acquisition/selection: a comparison between a Bayesian technique and the Munkres algorithm", Proc. SPIE 3365, Acquisition, Tracking, and Pointing XII, (30 July 1998); https://doi.org/10.1117/12.317519

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