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Performance Analysis of Different Radiation Pattern using Genetic Algorithm

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Performance Analysis of Different Radiation Pattern using Genetic Algorithm


Rahul Pandya | Praveen Kumar Patidar



Rahul Pandya | Praveen Kumar Patidar "Performance Analysis of Different Radiation Pattern using Genetic Algorithm" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-5, August 2020, pp.874-877, URL: https://www.ijtsrd.com/papers/ijtsrd33020.pdf

In most applications of antenna arrays, side lobe levels (SLLs) are commonly unwanted. Especially, the first side lobe level which determines maximum SLL is the main source of electromagnetic interference (EMI), and hence, it should be lowered. In this thesis proposed a very simple and powerful method for the synthesis of linear array antenna. This method reduced the desired level of side lobe level (SLL) as well as to steer the main beam at different-different angle. In this paper we draw the radiation pattern for N = 24 elements with main beam are shifted by 30° and the simulation result analysis by Matlab R2013a tool.

Side Lobe Level (SLL), Electromagnetic Interference (EMI), Genetic Algorithm (GA), Linear Array Antenna, Radiation Pattern


IJTSRD33020
Volume-4 | Issue-5, August 2020
874-877
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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