Study the Behavioral Change in Adaptive Beamforming of Smart Antenna Array Using LMS and RLS Algorithms

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
© 2014 by IJETT Journal
Volume-17 Number-7
Year of Publication : 2014
Authors : Somnath Patra, Nisha Nandni, Abhishek Kumar


Somnath Patra, Nisha Nandni, Abhishek Kumar Pandey#3,Sujeet Kumar"Study the Behavioral Change in Adaptive Beamforming of Smart Antenna Array Using LMS and RLS Algorithms", International Journal of Engineering Trends and Technology (IJETT), V17(7),310-314 Nov 2014. ISSN:2231-5381. published by seventh sense research group


In this paper we presents a brief outline about the adaptive beamforming of smart antenna array system which is consist of an antenna array elements with signal processing ability which is optimized using two distinct adaptive algorithms Least Mean Square (LMS) and Recursive List Square (RLS). The LMS is a gradient based approach. LMS algorithm uses the estimates of gradient vector from the given data. LMS incorporates an iterative procedure that makes successive corrections to the weight vector in the negative direction of the gradient vector which eventually leads to the minimum MSE. RLS algorithm used to compute the complex weights by its own simulation and also there is no longer necessary to invert a large correlation matrix. The recursive equations allow for easy updates of the inverse correlation matrix. These algorithms have been simulated using MATLAB 7.0.1 (R14) version software in Windows 7 environment. The simulation result shows the better adaptive algorithm through which we can obtain the optimum solution faster for smart antenna array systems.


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Smart Antenna Array, Beamforming, Adaptive algorithms, Least Mean Square (LMS), Recursive List Square (RLS).