DocumentCode
2516180
Title
Optimization of multislotted rectangular microstrip patch antenna using ANN and bacterial foraging optimization
Author
Kumar, K. Arun ; Ashwath, R. ; Kumar, D. Sriram ; Malmathanraj, R.
Author_Institution
Dept. of Electron. & Commun. Eng., Nat. Inst. of Technol., Tiruchirapalli, India
fYear
2010
fDate
12-16 April 2010
Firstpage
449
Lastpage
452
Abstract
“In this paper, the design of multi-slot microstrip antenna on a substrate of 2 mm thickness was considered. The IE3D software which is based on method of moments(MOM) was used to determine the simulated results of return loss, resonant frequency, radiation pattern and gain. Artificial Neural Network (ANN) was also developed to calculate the parameters of the antenna. The experimental results were taken in the frequency band of 6 GHz to 12 GHz. The simulated results from IE3D were compared with results obtained from ANN methods such as GRNN, SVM and the results were in good agreement. A new method of using Bacteria Foraging Optimization (BFO) to calculate the resonant frequency was discussed. The results obtained were very much accurate in comparison with simulated results”.
Keywords
antenna radiation patterns; electrical engineering computing; method of moments; microstrip antennas; neural nets; optimisation; slot antennas; IE3D software; artificial neural network; bacterial foraging optimization; frequency 6 GHz to 12 GHz; method of moments; multislotted rectangular microstrip patch antenna; radiation pattern; resonant frequency; return loss; Artificial neural networks; Bandwidth; Design optimization; Microorganisms; Microstrip antennas; Microwave antennas; Optimization methods; Patch antennas; Probes; Resonant frequency; Artificial Neural Networks; BFO; GRNN; Multislotted Rectangular Microstrip Patch Antenna; SVM;
fLanguage
English
Publisher
ieee
Conference_Titel
Electromagnetic Compatibility (APEMC), 2010 Asia-Pacific Symposium on
Conference_Location
Beijing
Print_ISBN
978-1-4244-5621-5
Type
conf
DOI
10.1109/APEMC.2010.5475810
Filename
5475810
Link To Document