Optimal Design and Synthesis of Linear Antenna Array Using Social Group Optimization Technique
Abdul Rahiman Sheik1, Kalva Sri Rama Krishna2

1Abdul Rahiman Sheik, Research Scholar, Dept. of ECE, University College of Engineering & Technology, Acharya Nagarjuna University, Guntur.
2Dr. Kalva Sri Rama Krishna, Professor & Head, Department of ECE V R Siddhartha Engineering College, Vijayawada, A.P., India.
Manuscript received on 05 May 2019 | Revised Manuscript received on 12 May 2019 | Manuscript published on 30 May 2019 | PP: 626-630 | Volume-8 Issue-7, May 2019 | Retrieval Number: G5469058719/19©BEIESP
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Abstract: TIn the recent past many evolutionary computing algorithms are proposed for linear array synthesis with several objectives adopting many available synthesis techniques. Every synthesis technique has its unique performance on each objective. It is evident from the literature that incorporating newly proposed heuristic approaches which are widely accepted in other disciplines for antenna array synthesis is a predominant part of research in electromagnetics. This consistently helped antenna engineers to take on the challenges of pattern synthesis for wireless applications. Accordingly in this paper a new algorithm namely Social Group Optimization Algorithm (SGOA) has been chosen and applied for optimally designing linear array synthesis. Further a comparative study is performed to analyze the performance of this algorithm over existing popular numerical technique called Chebyshev technique. Several objectives are considered for synthesis of LA in this work. Obtaining a very low SLL of -50dB with narrowest possible BW that is equal to the Chebyshev BW (TBW) for the same SLL is one of the major objective of investigation. The other objectives are to study the synthesis process using both amplitude only and amplitude-space techniques. Symmetrical LA is considered in all the cases mentioned in this paper. 
Keyword: SLL, SGOA, BW, ARRAY FACTOR 
Scope of the Article: Antenna Array