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On-line inverse scattering of conducting cylinders using radial basis-function neural networks

✍ Scribed by Ioannis T. Rekanos

Publisher: John Wiley and Sons
Year: 2001
Tongue: English
Weight: 134 KB
Volume: 28
Category: Article
ISSN: 0895-2477
DOI: 10.1002/1098-2760(20010320)28:6<378::aid-mop1046>3.0.co;2-r

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✦ Synopsis

A no¨el on-line in¨erse-scattering method for the geometric characterization of conducting cylindrical scatterers from scatteredfield measurements is presented. The method is based on the application of radial basis-function neural networks that are constructed by use of the orthogonal least squares algorithm. Thus, trial-and-error approaches during the construction can be a¨oided. The efficiency and robustness of the method in in¨erting noisy measurements are in¨estigated. ᮊ 2001

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