Performances of Some Combined Algorithms for Adaptive Beamforming in Smart Antenna Using Linear Array


  • Anupama Senapati School of Electronics Engineering, KIIT University, Bhubaneswar, India
  • Jibendu Sekhar Roy


Smart antenna, beamforming, LMS algorithm, RLS algorithm, SMI algorithm


A comparative study of beamforming techniques using combined algorithms, like, sample matrix inversion with least mean square (SMI-LMS), sample matrix inversion with recursive least square (SMI-RLS) and least mean square with recursive least square (LMS-RLS) algorithm is presented in this paper. Side lobe level, null depth and error plot of adaptive beam formation for different signal-to-noise (SNR) with different element spacing are simulated and compared. It is found that performance of LMS-RLS algorithm is better than SMI-LMS and SMI-RLS algorithm.

Author Biography

Anupama Senapati, School of Electronics Engineering, KIIT University, Bhubaneswar, India

Research Scholar, School of Electronics Engineering


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How to Cite

Senapati, A., & Roy, J. S. (2016). Performances of Some Combined Algorithms for Adaptive Beamforming in Smart Antenna Using Linear Array. Asian Journal of Applied Sciences, 4(3). Retrieved from