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Real-time linear antenna array synthesis of broadside pattern using improved dwarf mongoose optimization algorithm

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Abstract

This research introduces a novel framework that combines the dwarf mongoose optimization (DMO) algorithm with the sine–cosine algorithm (SCA) for the design of real-time linear antenna array (LAA) applications. The DMO algorithm, inspired by swarm behavior found in nature, comprises distinct groups—the alpha group, scouts, and babysitters—each utilizing unique food-capturing strategies. Linear antenna arrays are widely used in next-generation communication applications such as 5G, IoT and beamforming. However, it is challenging to achieve a narrow beamwidth while also suppressing subsidiary lobes. In this study, a novel approach is proposed to address this tradeoff successfully. Through thorough evaluations and comparisons with established strategies, the method demonstrates superior performance. It achieves the lowest subsidiary lobes and the narrowest beamwidth compared to other techniques. Moreover, the proposed framework consistently maintains optimal fitness values and offers highly efficient solutions, surpassing basic and popular optimization approaches. By optimizing excitation amplitudes and positions, the method successfully solves the narrow beamwidth limitation without sacrificing low side lobe levels (SLL). The research demonstrates that the proposed approach, combining DMO and SCA, effectively addresses the beamwidth-SLL tradeoff, making it capable of handling a wide range of LAA application requirements without compromising beamwidth or SLL. Overall, this study presents a significant advancement in LAA design, offering a novel variant of the DMO algorithm incorporating SCA, with improved performance and the potential for real-time linear antenna array applications.

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Acknowledgements

This work was supported by DST, Government of India, for the Technology Innovation Hub at the IIT Ropar in the framework of the National Mission on Interdisciplinary Cyber-Physical Systems.

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No funds, grants, or other support was received.

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Authors and Affiliations

  1. Department of Electronics and Communication Engineering, UCRD, Chandigarh University, Mohali, Punjab, India

    Harbinder Singh

  2. Department of Computer Science and Engineering, IIT Ropar, Rupnagar, Punjab, India

    Simrandeep Singh

  3. Department of Electronics and Communication Engineering, I.K Gujral Punjab Technical University, Kapurthala, Punjab, India

    Amit Gupta

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  1. Harbinder Singh
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  2. Simrandeep Singh
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  3. Amit Gupta
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Contributions

HS: Conceptualization, Methodology, Investigation, Writing—Original Draft. SS: Conceptualization, Validation, Writing—Original Draft. AG: Supervision, Investigation, Writing—Review & Editing.

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Correspondence to Harbinder Singh.

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Singh, H., Singh, S. & Gupta, A. Real-time linear antenna array synthesis of broadside pattern using improved dwarf mongoose optimization algorithm. Telecommun Syst 84, 565–579 (2023). https://doi.org/10.1007/s11235-023-01063-9

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