Optimized Design and Analysis of Microstrip Antenna using Artificial Neural Network

Nayak, Chetana and Kumar, Pramod (2017) Optimized Design and Analysis of Microstrip Antenna using Artificial Neural Network. In: International Conference on Current Trends in Computer, Electrical, Electronics and Communication, 08/09/2017, VVCE Mysuru.

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An Antenna is a device made of conducting material which transmits and receives electromagnetic signals. Antennas are widely used as device for transmission of signals. Microstrip antennas are gaining more importance due to their small and compact size, and wide band which yields in the reduction of material and applications are in cell phones, aircraft and satellite communications. In this paper a microstrip antenna with rectangular patch configuration is modeled with metal mounted over a large metal ground plane .Its reduced size results in narrow bandwidth and the patch dimension parameter optimized. The optimization methods include cavity model, CST, and TL. In this paper, to reduce the percentage of error and to increase the efficiency of design, a model based on artificial neural network (ANN) is simulated and compared the results

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Microstrip antennas, Artificial Neural Networks (ANN), rectangular patch, Radial basis function (RBF).
Subjects: Engineering > MIT Manipal > Electronics and Communication
Depositing User: MIT Library
Date Deposited: 26 Dec 2017 06:36
Last Modified: 26 Dec 2017 06:36
URI: http://eprints.manipal.edu/id/eprint/150352

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