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Proceedings Paper

Classification of moving targets by a distributed sensor network
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Paper Abstract

We present a procedure for classification of targets by a network of distributed radar sensors deployed to detect, locate and track moving targets. Estimated sensor positions and selected positions of a target under track are used to obtain the target aspect angle as seen by the sensors. This data is used to create a multi-angle profile of the target. Stored target templates are then matched in the least mean square sense with the target profile. These templates were generated from radar return signals collected from selected targets on a turntable. Probabilities of correct classification obtained by a simulation of the classification procedure are given as functions of signal-to-noise ratios and errors in estimates of target and sensor locations.

Paper Details

Date Published: 21 September 2004
PDF: 10 pages
Proc. SPIE 5426, Automatic Target Recognition XIV, (21 September 2004); doi: 10.1117/12.544281
Show Author Affiliations
Hiralal C. Khatri, Army Research Lab. (United States)
Getachew Kirose, Army Research Lab. (United States)
Kenneth Ranney, Army Research Lab. (United States)
Roberto Innocenti, Army Research Lab. (United States)

Published in SPIE Proceedings Vol. 5426:
Automatic Target Recognition XIV
Firooz A. Sadjadi, Editor(s)

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