Performance Investigations of S-shaped RMSA Using Multilayer Perceptron Neural Network for S-Band Applications
- Authors: Aneesh M.1, Singh A.2, Kamakshi K.3, Ansari J.A.4
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Affiliations:
- Veer Bahadur Singh Purvanchal University
- NMAM Institute of Technology
- Institute of Management Studies
- University of Allahabad
- Issue: Vol 62, No 8 (2019)
- Pages: 400-408
- Section: Article
- URL: https://journals.rcsi.science/0735-2727/article/view/177348
- DOI: https://doi.org/10.3103/S073527271908003X
- ID: 177348
Cite item
Abstract
In this article an S-shaped rectangular microstrip patch antenna (RMSA) is investigated for S-band applications using artificial neural network (ANN). The authors have done the parametric study of different radiating structures to obtain S-shaped RMSA. The size of inserted notches on the radiating patch for achieving wideband operation is computed through multilayer perceptron artificial neural network (MLP-ANN) over a desired range of its performance effecting parameters such as frequency, gain, directivity, antenna efficiency, and radiation efficiency. MLP-ANN model is trained and tested with seven different algorithms. The research found that Levenberg-Marquardt (LM) training algorithm takes less computational time with better accuracy for computation of notches size on radiating patch over a priory defined performance parameters. To verify the work, a prototype of S-shaped RMSA is physically fabricated on foam substrate and tested experimentally. The experimental results are in good agreement with the simulated results that are produced with ANN.
About the authors
Mohammad Aneesh
Veer Bahadur Singh Purvanchal University
Author for correspondence.
Email: aneeshau14@gmail.com
India, Jaunpur
Ashish Singh
NMAM Institute of Technology
Email: aneeshau14@gmail.com
India, Nitte, Karkala
Kumari Kamakshi
Institute of Management Studies
Email: aneeshau14@gmail.com
India, Ghaziabad
Jamshed Aslam Ansari
University of Allahabad
Email: aneeshau14@gmail.com
India, Allahabad