Constrained Optimization of Linear Antenna Arrays using Novel Social Group Optimization Algorithm
B. Narasimha Rao1, S. Saida Rao2

1B. Narasimha Rao, Associate Professor, Newton’s Institute of Science & Technology, Macherla, Guntur (Andhra Pradesh), India.
2S. Saida Rao, Associate Professor, Newton’s Institute of Science & Technology, Macherla, Guntur (Andhra Pradesh), India.
Manuscript received on 23 July 2019 | Revised Manuscript received on 03 August 2019 | Manuscript Published on 10 August 2019 | PP: 1184-1187 | Volume-8 Issue-2S3 July 2019 | Retrieval Number: B12200782S319/2019©BEIESP | DOI: 10.35940/ijrte.B1220.0782S319
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Abstract: Antenna array optimization is a major research problem in the field of electromagnetic and antenna engineering. The optimization typically involves in handling several radiation parameters like Sidelobe level (SL) and beamwidth (BW). In this paper, the linear antenna array (LAA) configuration is considered with symmetrical distribution of excitation and special distribution. The objective of the design problem considered involves in generating optimized patterns in terms of SLL and BW and check the robustness of the social group optimization algorithm (SGOA). The analysis of the design problem is carried out in terms of radiation pattern plots. The simulation is carried out in Matlab.
Keywords: Antenna Array, Optimization, SGOA.
Scope of the Article: Algorithm Engineering