A frequency reconfigurable antenna design using neural networks

Author

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

Author_Institution

Dept. Electron. & Commun. Eng., Nat. Inst. of Sci. & Tech, Orissa, India

fYear

2005

fDate

3-8 July 2005

Firstpage

409

Abstract

In this work, design aspects of a frequency reconfigurable antenna are handled using neural networks. The job of the neural network is to determine the switches that are to be made ON for the structure to resonate at specific bands. This task is handled as a classification type of problem and is accomplished by a self-organizing map neural network (SOM NN).

Keywords

multifrequency antennas; pattern classification; self-organising feature maps; SOM NN; classification problem; frequency reconfigurable antenna; self-organizing map neural network; switches; Bandwidth; Design engineering; Frequency response; Laboratories; Microswitches; Multifrequency antennas; Neural networks; Receiving antennas; Switches; Transmitting antennas;

fLanguage

English

Publisher

ieee

Conference_Titel

Antennas and Propagation Society International Symposium, 2005 IEEE

Print_ISBN

0-7803-8883-6

Type

conf

DOI

10.1109/APS.2005.1551830

Filename

1551830

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2679673