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Improved VSS-NLMS Adaptive Beamformer Using Modified Antenna Array

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Abstract

Recently, smart antenna systems (SAS) have emerged as frontiers for the wireless communication industries. The least mean square (LMS) algorithm and its different forms are the most widely used techniques for adaptive beamforming. Nonetheless, these methods deteriorate for adaptive beamforming due to fixed step size. The variable step size normalized LMS (VSSNLMS) is one of the most efficient methods presented in the literature to overcome the limitation of the LMS and its variants. Nonetheless, this method exploits the uniform linear array (ULA) which does not provide uniform adaptive beamforming. In this work, we improve the performance of the VSSNLMS by using the modified ULA. Furthermore, to make it more suitable for practical application, we deploy the hamming window to the proposed method to significantly suppress the sidelobe level. The array signal model and the computer simulations are presented to prove the effectiveness of the new method.

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Authors and Affiliations

  1. Department of Electronics and Communication Engineering, Guru Nanak Dev Engineering College, Bidar, Karnataka, 585403, India

    Veerendra Dakulagi

  2. Department of Electrical and Electronics Engineering, Guru Nanak Dev Engineering College, Bidar, Karnataka, 585403, India

    Rohini Dakulagi

  3. Faculty of Engineering and Green Technology, Universiti Tunku Abdul Rahman, 31900, Kampar, Malaysia

    Kim Ho Yeap & Humaira Nisar

Authors
  1. Veerendra Dakulagi
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  2. Rohini Dakulagi
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  3. Kim Ho Yeap
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  4. Humaira Nisar
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Correspondence to Veerendra Dakulagi.

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Dakulagi, V., Dakulagi, R., Yeap, K.H. et al. Improved VSS-NLMS Adaptive Beamformer Using Modified Antenna Array. Wireless Pers Commun 128, 2741–2752 (2023). https://doi.org/10.1007/s11277-022-10068-7

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