Volume 32, Issue 2, September 2017, Pages 299–306
Pritam Singha Roy1 and Samik Chakraborty2
1 Department of Electronics, Govt. College of Engineering & Textile Technology, Berhampore, West Bengal, India
2 Department of Electronics & Communication Engineering, Indian Maritime University, Kolkata, West Bengal, India
Original language: English
Copyright © 2017 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
In this paper an artificial neural network optimization technique and models is used for analysis the bandwidth of Microstrip antenna. The Ч shaped Microstrip patch antenna designed and use operating frequency 6.83 GHz to analysis the bandwidth of antenna. Artificial neural network models used and varying the different parameters of Microstrip antenna to measure the bandwidth and its results is compared with artificial neural network results. The most common dielectric substrate Polyethylene =2.25. ANN is vey suited for analysis the proposed antenna and gives more easy calculation and design of microstrip patch antenna.
Author Keywords: Microstrip Slot antenna, Simulation, Return loss, Bandwidth, Artificial neural network.
Pritam Singha Roy1 and Samik Chakraborty2
1 Department of Electronics, Govt. College of Engineering & Textile Technology, Berhampore, West Bengal, India
2 Department of Electronics & Communication Engineering, Indian Maritime University, Kolkata, West Bengal, India
Original language: English
Copyright © 2017 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
In this paper an artificial neural network optimization technique and models is used for analysis the bandwidth of Microstrip antenna. The Ч shaped Microstrip patch antenna designed and use operating frequency 6.83 GHz to analysis the bandwidth of antenna. Artificial neural network models used and varying the different parameters of Microstrip antenna to measure the bandwidth and its results is compared with artificial neural network results. The most common dielectric substrate Polyethylene =2.25. ANN is vey suited for analysis the proposed antenna and gives more easy calculation and design of microstrip patch antenna.
Author Keywords: Microstrip Slot antenna, Simulation, Return loss, Bandwidth, Artificial neural network.
How to Cite this Article
Pritam Singha Roy and Samik Chakraborty, “Bandwidth Analysis and Optimization of Ч shaped Microstrip Patch Antenna with Artificial Neural Network,” International Journal of Innovation and Scientific Research, vol. 32, no. 2, pp. 299–306, September 2017.
