Optical classification of radar signals using acousto-optically generated triple-product representations

Charles G. Garvin; Kelvin H. Wagner

doi:10.1117/12.257226

5 November 1996 Optical classification of radar signals using acousto-optically generated triple-product representations

Charles G. Garvin, Kelvin H. Wagner

Author Affiliations +

Proceedings Volume 2845, Radar Processing, Technology, and Applications; (1996) https://doi.org/10.1117/12.257226
Event: SPIE's 1996 International Symposium on Optical Science, Engineering, and Instrumentation, 1996, Denver, CO, United States

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.

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Charles G. Garvin and Kelvin H. Wagner "Optical classification of radar signals using acousto-optically generated triple-product representations", Proc. SPIE 2845, Radar Processing, Technology, and Applications, (5 November 1996); https://doi.org/10.1117/12.257226

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