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Resonant Frequency Analysis of Coaxial Feed Square Microstrip Patch Antenna Using Artificial Neural Network

Rohit Jha, Ravindra Pratap Narwaria

Abstract


In this paper an innovative technique is proposed for the estimation of the resonant frequency of coaxial feed square microstrip patch antenna. The Artificial Neural Network is used in forecasting the resonant frequency of Coaxial Feed square shaped microstrip patch antenna as a function of its sides. Three different types of Artificial Neural Networks have been used namely Multilayer Perceptron Feedforward Back Propagation Artificial Neural Network (MLPFFBP-ANN), Radial Basis Function (RBF) and Layer Recurrent Network in order to implement the neural network model. The results for training and validation data is obtained by designing the Square Shaped Patch Antennas on Computer Simulation Technology Microwave Studio (CST MWS) Software. The results obtained from the Artificial Neural Network Models are equated with the results obtained from the simulating software, and the results show satisfactory agreement, and also it is concluded that among all the three networks MLPFFBP-ANN gives least mean square error.

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References


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DOI: https://doi.org/10.37628/jrfd.v1i2.386

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