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

reportActive / Technical Report | Accession Number: ADA137725 | Open PDF

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

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