Synthesis of Circular Array Antenna for Side Lobe Level and Beam Steering Control Using Social Group Optimization Algorithm
Abdul Rahiman Sheik1, Kalva Sri Rama Krishna2
1Abdul Rahiman Sheik, Research Scholar, Department of ECE, University College of Engineering & Technology, Acharya Nagarjuna University, Guntur (Andhra Pradesh), India, Associate Professor, Department of ECE, NRI Institute of Technology, Pothavarappadu (Andhra Pradesh), India
2Dr. Kalva Sri Rama Krishna, Professor & Head, Department of ECE, V.R Siddhartha Engineering College, Vijayawada (Andhra Pradesh), India.
Manuscript received on 18 June 2019 | Revised Manuscript received on 25 June 2019 | Manuscript published on 30 June 2019 | PP: 103-106 | Volume-8 Issue-5, June 2019 | Retrieval Number: D6691048419/19©BEIESP
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© 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: In this paper, the design of circular array using novel evolutionary computing tools is dealt with side lobe level (SLL) reduction as main objective. Further, the beam is scanned (steering) to certain angle considering the same objectives and constraints. The Social Group Optimization algorithm (SGOA) is used to design the array and compared with the another evolutionary computing tool known as the Real Coded Genetic Algorithm (RCGA) and conventional uniform design with major concern being not to do performance evaluation with but to elevate that the performance of the novel SGOA is at par with RCGA. The analysis is carried out using the produced radiation patterns for two different lengths of the array.
Keywords: SLL, SGOA, RCGA.
Scope of the Article: Smart Antenna