Cosine Least Mean Square Algorithm for Adaptive Beamforming

  • Authors

    • Muhammad Ibrahim Khan
    • Muhammad Juanid Mughal
    • Rana Liaqat Ali
    2018-07-26
    https://doi.org/10.14419/ijet.v7i3.16.16191
  • Adaptive beamforming, Beam width, Cos-LMS, Side lobe level(SLL), Standard LMS

  • Abstract

    Beamforming and multiple-input multiple-output (MIMO) antenna configurations have received worldwide interest during the recent time. Various beamforming algorithm has been proposed and employed in different applications. The Least Mean Square (LMS) algorithm has become one of the most widespread adaptive beamforming techniques because of its simplicity and robustness. This paper presents a new variant of LMS algorithm named as Cosine Least Mean Square (Cos-LMS) which uses the efficient computation of array factor for linear antenna array.This algorithm gives improved performance in beam width reduction, side lobe level reduction, null depth, and stability as compared to standard LMS and other variants of LMS algorithm. The performance improvement by Cos-LMS algorithm is accomplished without increasing the computationalcomplexity of standard LMS algorithm.

     

  • References

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  • How to Cite

    Ibrahim Khan, M., Juanid Mughal, M., & Liaqat Ali, R. (2018). Cosine Least Mean Square Algorithm for Adaptive Beamforming. International Journal of Engineering & Technology, 7(3.16), 94-97. https://doi.org/10.14419/ijet.v7i3.16.16191

    Received date: 2018-07-24

    Accepted date: 2018-07-24

    Published date: 2018-07-26