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Ascertaining Resonant Frequency of Rectangular Patch Antenna using Neural Network

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Sonali Shankar, Bishal Dey Sarkar, Himanshu Chaurasiya Published in Communications

Ascertaining Resonant Frequency of Rectangular Patch Antenna using Neural Network
CAE Proceedings on International Conference on Computing, Communication and Sensor Network
Year of Publication: 2016
© 2015 by CAE Journal
Series CCSN2015 Number 1
Authors Sonali Shankar, Bishal Dey Sarkar, Himanshu Chaurasiya
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Sonali Shankar, Bishal Dey Sarkar and Himanshu Chaurasiya. Article: Ascertaining Resonant Frequency of Rectangular Patch Antenna using Neural Network. CAE Proceedings on International Conference on Computing, Communication and Sensor Network CCSN 2015(1):1-4, March 2016. Published by Foundation of Computer Science, New York, USA. BibTeX

@article{key:article,
	author = {Sonali Shankar and Bishal Dey Sarkar and Himanshu Chaurasiya},
	title = {Article: Ascertaining Resonant Frequency of Rectangular Patch Antenna using Neural Network},
	journal = {CAE Proceedings on International Conference on Computing, Communication and Sensor Network},
	year = {2016},
	volume = {CCSN 2015},
	number = {1},
	pages = {1-4},
	month = {March},
	note = {Published by Foundation of Computer Science, New York, USA}
}

Abstract

In this paper, with the help of Artificial Neural Network (ANN), we are determining the resonant frequency of a rectangular patch antenna at a given length, width, height and dielectric constant. After training phase of ANN(Artificial Neural Network), the obtained results are compared with the theoretical obtained value of resonant frequency at the same length, width, height and dielectric constant. The resonant frequency is maintained at Ku (12 GHz-18 GHz) band which is used for satellite communication and radar applications.

References

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Keywords

ANN, downlink, fringing effect, resonant frequency, uplink.