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Proceedings Paper

Application of Bayesian field track-before-detect and peak likelihood track-after-detect trackers to shipboard infrared search and track
Author(s): Stefano P. Merlo; Robert G. Lindgren; Philip J. Davis
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Paper Abstract

This paper describes the algorithms that Arete with support from the Office of Naval Research (ONR) is developing for shipboard infrared search and track (SIRST) detection of low-observable targets, such as subsonic, sea-skimming cruise missiles. Early detection of low signal-to-noise (SNR) targets (6 - 10 dB) is provided by Arete's Bayesian field tracker (BFT), which is a track- before-detect algorithm. Candidate detections from the BFT are used to initialize the position, velocity and likelihood of candidate tracks in a peak likelihood track-after-detect tracker. False alarm mitigation is accomplished in part by requiring the temporal evolution of a candidate track to be consistent with that of an incoming sea-skimming cruise missile. The overview of the algorithms involved in these trackers and results from both real targets and simulated targets injected into real images are presented.

Paper Details

Date Published: 29 October 1997
PDF: 10 pages
Proc. SPIE 3163, Signal and Data Processing of Small Targets 1997, (29 October 1997); doi: 10.1117/12.283974
Show Author Affiliations
Stefano P. Merlo, Arete Associates (United States)
Robert G. Lindgren, Arete Associates (United States)
Philip J. Davis, Arete Associates (United States)

Published in SPIE Proceedings Vol. 3163:
Signal and Data Processing of Small Targets 1997
Oliver E. Drummond, Editor(s)

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