Cosine Least Mean Square Algorithm for Adaptive Beamforming

  • Abstract
  • Keywords
  • References
  • PDF
  • 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.


  • Keywords

    Adaptive beamforming; Beam width; Cos-LMS; Side lobe level(SLL); Standard LMS

  • References

      [1] B. Widrow, P. E. Mantey, L. J. Griffiths, and B. B. Goode. 1967. "Adaptive antenna systems." Proceedings of the IEEE.

      [2] Jha, Hema Singh and Rakesh Mohan. 2012. ""Trends in Adaptive Array Processing." International Journal of Antennas and Propagation.

      [3] Dariusz Bismor, Krzysztof Czyz and Zbigniew Ogonowski. 2016. "Review and Comparison of Variable Step-Size LMS Algorithms." International Journal of Acoustics and Vibration.

      [4] Farhang-Boroujeny, Wee-Peng Ang and B. 2001. "A new class of gradient adaptive step-size LMS Algorithms." IEEE Transactions on Signal Processing.

      [5] E. M. Lobato, O. J. Tobias and R. Seara. 2005. "Stochastic modelling of thetransform domain LMS algorithm for a time-varying environment." 13th European Signal Processing Conference, Antalya.

      [6] Christodoulou, M. M. Khodier and C. G. 2005. "Linear array geometry synthesis with minimum sidelobe level and null control using particle swarm optimization." IEEETransactions on Antennas and Propagation.

      [7] Abu-Al-Nadi, J. S. Rahhal and D. I. 2007. "A general configuration antenna array for multi-user systems with genetic and ant colony optimization." Electromagnetics.

      [8] Ana Jovanovic, Luka Lazovic, and Vesna Rubezic. 2016. "Adaptive Array Beamforming Using a Chaotic Beamforming Algorithm." International Journal of Antennas and Propagation.

      [9] Chengyan Zhang, , Xiongjun Fu, Leo P. Ligthart. 2018. "Synthesis of Broadside Linear Aperiodic Arrays With Sidelobe Suppression and Null Steering Using Whale Optimization Algorithm." IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS.

      [10] Avishek Dasa, D. Mandala , S.P. Ghoshalb , R. Kara. 2018. "Concentric circular antenna array synthesis for side lobe suppression using moth flame optimization." Int. J. Electron. Commun.

      [11] 2010, Jianxia Liu. 2010. "Application of Chaos Mind Evolutionary Algorithm in Antenna Arrays Synthesis." Journal of computers.

      [12] Bakhar, Veerendra Dakulagi & Md. 2017. "Efficient Blind Beamforming Algorithms for Phased Array and MIMO RADAR,." IETE Journal of Research.

      [13] V.Dakulagi, Md. Bakharand and R. M. Vani. 2014. "Adaptive beamformers for cellular radio systems using smart antenna." Int. J. Curr. Eng. Technology.

      [14] Gross. F. B. Smart Antennas for Wireless Communication with MATLAB. 3rd ed. New York, NY: McGraw-Hill.

      [15] CA., Ballanis. n.d. Antenna theory analysis and design . 2nd ed. New York: John Willey.

      [16] RE., Collin. 1985. Antenna and radio wave propagation. New York: McGraw-Hil.

      [17] RS., NJElliott. 2003. Antenna theory and design revised ed. . NJ: John Willey.




Article ID: 16191
DOI: 10.14419/ijet.v7i3.16.16191

Copyright © 2012-2015 Science Publishing Corporation Inc. All rights reserved.