Abstract
Circular planar array antenna with minimized peak side lobe levels is desired in many advanced wireless applications. In this paper, an innovative strategy is applied to the designing problem of the planar array antenna having concentric rings that are uniformly weighted with circular aperture using a human intelligence-based meta-heuristic algorithm, namely teaching–learning-based optimization. The objective of this work is to design the concentric circular array antenna with constraints like number of array elements as well as radius of each ring and then finally present an analysis of the same using different examples. Four cases with different number of rings are presented considering different constraints individually. Firstly, concentric circular array antenna with 5 and 6 rings is discussed with optimized ring radii. Secondly, with optimized number of array elements, 7 and 8 rings are taken into account. Results are superior in the example having rings in larger number. The statistical data for every design are also presented to showcase the effectiveness of the simulation approach. The result comparison of the proposed work with state of the art further confirms the effectiveness of the proposed design.
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Dutta, K.P., Kindo, S.P., Xalxo, N., Linda, S., Kumari, K. (2022). Design Analysis of Uniformly Weighted Circular Planar Antenna Array Using Efficient Meta-heuristic Algorithm in MATLAB. In: Mandal, J.K., Hsiung, PA., Sankar Dhar, R. (eds) Topical Drifts in Intelligent Computing. ICCTA 2021. Lecture Notes in Networks and Systems, vol 426. Springer, Singapore. https://doi.org/10.1007/978-981-19-0745-6_31
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DOI: https://doi.org/10.1007/978-981-19-0745-6_31
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