Study on extremizing adaptive systems and applications to synthetic aperture radars
Abstract
For this study the application of Artificial Intelligence methods in synthetic aperture radars (SAR) is investigated. It was found that the neuron-like ASE-ACE adaptive algorithm developed by Bartis, operating in the extremizing mode suggested by Klopf, can be used in a wide class of engineering problems requiring that some performance function be minimized. One such suggested application is to correct for quadratic phase errors in SAR signal processing.
- Publication:
-
NASA STI/Recon Technical Report N
- Pub Date:
- October 1983
- Bibcode:
- 1983STIN...8420744P
- Keywords:
-
- Adaptation;
- Artificial Intelligence;
- Phase Error;
- Signal Processing;
- Synthetic Aperture Radar;
- Algorithms;
- Computerized Simulation;
- Error Functions;
- Feedback;
- Models;
- Neural Nets;
- Quadratic Equations;
- Radar;
- Sampling;
- Weighting Functions;
- Communications and Radar