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Proceedings Paper

Optical Network That Learns To Perform Motion Compensation In Radar Imaging
Author(s): Scott Hudson; Demetri Psaltis
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Paper Abstract

In order to produce well-focused images of moving targets using radar, distortions in the radar echos due to the target's motion should be compensated for. Techniques exist to compensate distortion due to a target's changing range but compensation for non-uniformity in the target's aspect is generally neglected. We present an iterative technique and its optical implementation for performing aspect compensation.

Paper Details

Date Published: 3 May 1988
PDF: 8 pages
Proc. SPIE 0882, Neural Network Models for Optical Computing, (3 May 1988); doi: 10.1117/12.944115
Show Author Affiliations
Scott Hudson, California Institute of Technology (United States)
Demetri Psaltis, California Institute of Technology (United States)

Published in SPIE Proceedings Vol. 0882:
Neural Network Models for Optical Computing
Ravindra A. Athale; Joel Davis, Editor(s)

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