Neurocomputational analysis of a multiband reconfigurable planar antenna

Amalendu Patnaik, Dimitrios Anagnostou, Christos G. Christodoulou, James C. Lyke

Research output: Contribution to journalArticle

Abstract

Procedures using neural networks are developed for characterizing multiband reconfigurable antennas. A multilayer perceptron (MLP) is used to locate the operational frequency bands of the antenna at different reconfigured conditions. Another self-organizing map (SOM) neural network accomplishes the task of locating the switches to be turned ON for a desired frequency response. The developed formulation is tested on a laboratory prototype antenna.

Original languageEnglish
Pages (from-to)3453-3458
Number of pages6
JournalIEEE Transactions on Antennas and Propagation
Volume53
Issue number11
DOIs
Publication statusPublished - Nov 2005

Keywords

  • Multilayer perceptron (MLP)
  • Neural networks
  • Reconfigurable antenna
  • Self-organizing map (SOM)

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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