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
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;
Conference_Titel :
Electromagnetic Compatibility (APEMC), 2010 Asia-Pacific Symposium on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-5621-5
DOI :
10.1109/APEMC.2010.5475810