5 November 1996 Optical classification of radar signals using acousto-optically generated triple-product representations
Author Affiliations +
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.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Charles G. Garvin, Charles G. Garvin, Kelvin H. Wagner, 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); doi: 10.1117/12.257226; https://doi.org/10.1117/12.257226
PROCEEDINGS
14 PAGES


SHARE
RELATED CONTENT


Back to Top