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Proceedings Paper

Optical classification of radar signals using acousto-optically generated triple-product representations
Author(s): Charles G. Garvin; Kelvin H. Wagner
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Paper Abstract

We have configured an adaptive multi-layer optical classifier as a real-time radar target recognition system to recognize isolated aircraft targets from training profiles with varying orientation and/or range from the radar. The resulting system demonstrates the successful application of a real-time adaptive optical computing system to a challenging temporal signal processing problem with time- bandwidth product requirements too demanding for alternative approaches. In this paper we describe the multi-layer classifier in detail and present classification results of using the optical system to learn form example time- frequency representations of aircraft radar range profiles.

Paper Details

Date Published: 5 November 1996
PDF: 14 pages
Proc. SPIE 2845, Radar Processing, Technology, and Applications, (5 November 1996); doi: 10.1117/12.257226
Show Author Affiliations
Charles G. Garvin, Univ. of Colorado/Boulder (United States)
Kelvin H. Wagner, Univ. of Colorado/Boulder (United States)

Published in SPIE Proceedings Vol. 2845:
Radar Processing, Technology, and Applications
William J. Miceli, Editor(s)

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