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A Novel Adaptive Beamforming Algorithm for Smart Antennas

  • Ramakrishna YarlagaddaEmail author
  • V. Ratna Kumari
  • Venkata Subbaiah Potluri
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 898)

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.

Keywords

Smart antenna Adaptive beamforming ACLMS algorithm ANGD algorithm Convex hybridization 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Ramakrishna Yarlagadda
    • 1
    Email author
  • V. Ratna Kumari
    • 2
  • Venkata Subbaiah Potluri
    • 3
  1. 1.Gudlavalleru Engineering CollegeGudlavalleruIndia
  2. 2.Prsad V. Potluri Siddhartha Institute of TechnologyKanuruIndia
  3. 3.Velagapudi Ramakrishna Siddhartha Engineering CollegeKanuruIndia

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