LMS and RLS beamforming algorithms based linear antenna array with known mutual coupling
Noureddine Boughaba and
Ouarda Barkat
Journal of Electromagnetic Waves and Applications, 2023, vol. 37, issue 17, 1449-1462
Abstract:
This study explores the application of LMS and RLS algorithms in adaptive beamforming for a linear array of half wavelength dipole (HWD) antennas with known mutual coupling. The research initiates by deriving analytical expressions for the covariance matrix of signal impinging on an HWD antenna array, accounting for mutual coupling effects. Leveraging these expressions, we calculate the weights for both LMS and RLS algorithms, enabling the evaluation of the overall far-field radiation patterns of the HWD antenna array. The results demonstrate that these algorithms effectively steer the main lobe of the radiation pattern towards the desired user while creating nulls in the direction of undesired users. Notably, simulations indicate that the proposed compensation method enhances the performance of beamforming algorithms, particularly when considering mutual coupling effects. Specifically, the LMS algorithm outperforms the RLS algorithm in reducing interference, resulting in lower side lobe levels (SLL) in the radiation pattern.
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:taf:tewaxx:v:37:y:2023:i:17:p:1449-1462
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DOI: 10.1080/09205071.2023.2251979
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