Abstract
A new class of adaptive algorithms to process complex signals is used for the adaptive beamforming in smart antennas employed for cellular and mobile communications. Adaptive nonlinear gradient descent (ANGD) algorithm and augmented complex least mean squares (ACLMS) algorithm are proven to be useful to process complex signals of large dynamics. A hybrid system is proposed by employing the convex combination of ACLMS and ANGD algorithms. The new algorithm is tested on smart antennas for mobile communications through MATLAB simulations. From the results, it is shown that the hybrid algorithm outperforms both the individual algorithms in respect of the important array characteristics like side-lobe level (SLL), half power beamwidth (HPBW), desired signal tracking, and mean squared error (MSE) convergence.
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Yarlagadda, R., Ratna Kumari, V., Potluri, V.S. (2019). A Novel Adaptive Beamforming Algorithm for Smart Antennas. In: Wang, J., Reddy, G., Prasad, V., Reddy, V. (eds) Soft Computing and Signal Processing . Advances in Intelligent Systems and Computing, vol 898. Springer, Singapore. https://doi.org/10.1007/978-981-13-3393-4_60
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DOI: https://doi.org/10.1007/978-981-13-3393-4_60
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