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Frequency selective surface design using neural networks inversion based on parametrized representations

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3 Author(s)
D. T. Davis ; Dept. of Electr. Eng., Washington Univ., Seattle, WA, USA ; C. H. Chan ; J. N. Hwang

A parametric model of a frequency selective surface (FSS) is presented. By using a parametric representation of the FSS, one can simplify the process of designing an FSS for a given response by embedding constraints into the input data representation, thus avoiding the need for the constraint satisfaction mechanism. A parametric representation of an FSS made up of a dipole array is considered as an example.<>

Published in:

Antennas and Propagation Society International Symposium, 1991. AP-S. Digest

Date of Conference:

24-28 June 1991