Neurocomputational analysis of a multiband reconfigurable planar antenna

Author

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

Author_Institution

Dept. of Electron. & Commun. Eng., Nat. Inst. of Sci. & Technol., Berhampur, India

Volume

53

Issue

11

fYear

2005

Firstpage

3453

Lastpage

3458

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.

Keywords

frequency response; multilayer perceptrons; neural nets; planar antenna arrays; self-organising feature maps; MLP; SOM; frequency response; multiband reconfigurable planar antenna; multilayer perceptron; neural network; neurocomputational analysis; prototype antenna; self-organizing map; Frequency; Laboratories; Military aircraft; Multifrequency antennas; Neural networks; Planar arrays; Radar antennas; Receiving antennas; Switches; Transmitting antennas; Multilayer perceptron (MLP); neural networks; reconfigurable antenna; self-organizing map (SOM);

fLanguage

English

Journal_Title

Antennas and Propagation, IEEE Transactions on

Publisher

ieee

ISSN

0018-926X

Type

jour

DOI

10.1109/TAP.2005.858617

Filename

1528711