Accession Number : ADA137725

Title :   Study on Extremizing Adaptive Systems and Applications to Synthetic Aperture Radars.

Descriptive Note : Annual technical rept. 10 Sep 82-9 Sep 83,

Corporate Author : ENVIRONMENTAL RESEARCH INST OF MICHIGAN ANN ARBOR RADAR DIV

Personal Author(s) : Politis,D T ; Licata,W H

PDF Url : ADA137725

Report Date : Oct 1983

Pagination or Media Count : 77

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. (Author)

Descriptors :   *Synthetic aperture radar, *Adaptive systems, *Artificial intelligence, *Bionics, *Signal processing, Nerve cells, Computerized simulation, Feedback, Performance(Engineering), Neural nets, Sampling, Radar, Weighting functions, Models, Quadratic equations, Functions, Errors, Engineering

Subject Categories : Active & Passive Radar Detection & Equipment
      Bionics

Distribution Statement : APPROVED FOR PUBLIC RELEASE