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Unequally Spaced Linear Antenna Array Synthesis with Minimum Side Lobe Levels Using Modified Differential Evolution Algorithm
S. Venkata Rama Rao1, A. Mallikarjuna Prasad2, Ch. Santhi Rani3

1S. Venkata Rama Rao, Ph.D scholar, JNTUK, Kakinada, India.
2A. Mallikarjuna Prasad, Professor, Department of ECE, University College of Engineering, JNTUK, Kakinada, India.
3Ch.Santhi Rani, Professor, Department of ECE, USHA RAMA College of Engineering and Technology, Telaprolu, Near Gannavaram, India.
Manuscript received on 05 May 2019 | Revised Manuscript received on 12 May 2019 | Manuscript published on 30 May 2019 | PP: 908-914 | Volume-8 Issue-7, May 2019 | Retrieval Number: F3662048619/19©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: Antenna arrays are popularly used in various applications which include satellite, radar, wireless and cellular mobile communications etc. The present day communication systems performance greatly depends on the efficient design of antenna array systems. To meet the demands of noise free communications, it is required to design the antenna arrays with low side lobe levels (SSL). In this paper, a modified version of differential evolution (DE) algorithm is proposed to synthesize the linear antenna arrays with minimum side lobe levels. The mutation part of the traditional DE has been modified by adopting the normal mutation parameter. The various linear antenna arrays (10, 20 and 28 element) have been considered for the synthesis. The proposed modified DE (MDE) along with traditional DE algorithm and particle swarm optimization (PSO) algorithms have been applied. All the algorithms are applied to optimize the position between the elements. The numerical illustrations illustrate that the proposed method is outperformed the traditional DE and PSO in terms of low side lobe level and convergence rate. From these results it is demonstrating that MDE is best suitable candidate for the optimization problems. 
Keyword: Convergence Rate, Differential Evolution, linear Antenna Array, MDE, PSO, Side lobe levels. 
Scope of the Article: MIMO Antenna