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A Symmetrical 32 × 1 and 16 × 1 Elements Antenna Array Failure Correction with Nulls Using Brain Storm Optimization

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Abstract

In an antenna array, the radiations characteristics may be disturbed by some failed elements out of total antenna elements that caused increase of side lobe level power and ultimately reduces the efficiency or performance of an antenna system. In this work, computationally efficient brain storm optimization algorithm technique has been employed to recover the original characteristics of antenna array system. The normalized excitation coefficients (amplitude values of all elements) of 32 × 1 and 16 × 1 elements of linear antenna array design has been re-computed with the help of proposed technique to regain original features of antenna. The results has been validated by analyzing the various antenna parameters such as half power beam width, first null beam width, side lobe level etc. Secondly, two nulls have been incorporated in the radiation characteristics of antenna array in order to suppress the unwanted signals that reaching to the system from specific directions. The performance of antenna system for nulls has been verified through parameter such as null depressed level. The work has been compared with other computationally efficient techniques (Biogeography-based optimization and genetic algorithm).

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Code for antenna design and optimization as stated in this research work is available with the authors and can be supplied to the journal whenever it is required.

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Acknowledgements

This research work has been conducted using MATLAB tool procured through TEQIP-III grant sanctioned to the institute by MHRD, Govt. of India. Also, the authors would like to acknowledge Principal, GNDEC Ludhiana for providing the essential facilities to execute this research work.

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No funding was received for this work.

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Correspondence to Narwant Singh Grewal.

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Grewal, N.S., Kaur, J. & Kaur, N. A Symmetrical 32 × 1 and 16 × 1 Elements Antenna Array Failure Correction with Nulls Using Brain Storm Optimization. Wireless Pers Commun 136, 2405–2418 (2024). https://doi.org/10.1007/s11277-024-11383-x

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