Optical Network That Learns To Perform Motion Compensation In Radar Imaging

Scott Hudson; Demetri Psaltis

doi:10.1117/12.944115

3 May 1988 Optical Network That Learns To Perform Motion Compensation In Radar Imaging

Scott Hudson, Demetri Psaltis

Proceedings Volume 0882, Neural Network Models for Optical Computing; (1988) https://doi.org/10.1117/12.944115
Event: 1988 Los Angeles Symposium: O-E/LASE '88, 1988, Los Angeles, CA, United States

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.

Citation Download Citation

Scott Hudson and Demetri Psaltis "Optical Network That Learns To Perform Motion Compensation In Radar Imaging", Proc. SPIE 0882, Neural Network Models for Optical Computing, (3 May 1988); https://doi.org/10.1117/12.944115

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