Employment of Artificial Neural Network in Manipulating Design Constraints of Rectangular Microstrip Patch Antenna
Vilas Mapare1, Suraj Shinde2, Maheshkumar Latpate3, Tejas Khairnar4, Pallavi Kadam5
1Prof. Vilas Mapare, Department of Electronics & Telecommunication, Sinhgad Institute of Technology, Lonavala (Maharashtra), India.
2Suraj Shinde, Department of Electronics & Telecommunication, Sinhgad Institute of Technology, Lonavala (Maharashtra), India.
3Mahesh Latpate, Department of Electronics & Telecommunication, Sinhgad Institute of Technology, Lonavala (Maharashtra), India.
4Tejas Khairnar, Department of Electronics & Telecommunication, Sinhgad Institute of Technology, Lonavala (Maharashtra), India.
5Pallavi Kadam, Department of Electronics & Telecommunication, Sinhgad Institute of Technology, Lonavala (Maharashtra), India.
Manuscript received on 21 March 2013 | Revised Manuscript received on 28 March 2013 | Manuscript published on 30 March 2013 | PP: 195-197 | Volume-2 Issue-1, March 2013 | Retrieval Number: A0541032113/2013©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The parameter optimization by means of the neural networks is the major attraction, which highlights the ease, precision and reduction in computational time for the designers of interest. The paper deals with the design of a probe fed rectangular Microstrip patch antenna for 2.4 GHz frequency. The analytical results for various conceivable dimensions and different dielectric values were intended without any structural complexities. To achieve an optimum value for the design parameters of the Microstrip antenna, Multilayer Perceptron Neural Network (MLP) and Back Propagation algorithm were implemented to train the network. The analytical results were tested by simulating with basic design software HFSS. The bid of artificial neural network ensures an optimal design methodology which is revealed when relating the results with analytical methods, results of the simulation software.
Keywords: ANN, HFSS, Microstrip, N tool.
Scope of the Article: Micro Strip Antenna