In this paper, a compact 2×4 microstrip antenna (MSA) array is presented and the effect of inserting shorting wall is optimized with the help of artificial neural network (ANN). An ANN model has been developed for predicting the resonant frequencies with the variation of the height of substrate and shorting wall position. For validation of ANN output, a prototype of 2×4 MSA array is physically fabricated and tested. This validation verifies the proposed antenna for which simulated and ANN results are approximately similar. DOI: http://dx.doi.org/10.11591/telkomnika.v13i3.7089

Published by Institute of Advanced Engineering and Science
Journal Name Indonesian Journal of Electrical Engineering and Computer Science
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PenulisAneesh, Mohammad , Ansari, Jamshed Aslam , Singh, Ashish , Kamakshi, Km.
Publisher ArticleInstitute of Advanced Engineering and Science
Subtitle Article Indonesian Journal of Electrical Engineering and Computer Science Vol 13, No 3: March 2015
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