Title :
A low complex adaptive algorithm for antenna beam steering
Author :
Rahman, Mohammad Zia Ur ; Kumar, V. Anil ; Karthik, G.V.S.
Author_Institution :
Dept. of Electron. & Commun. Eng., Narasaraopeta Eng. Coll., Narasaraopeta, India
Abstract :
An adaptive antenna system consists of a combination of multiple antenna elements with a signal-processing capability to optimize its radiation and/or reception pattern automatically in response to the signal environment. In a telecommunication system, adaptive antenna system is the port through which radio frequency (RF) energy is coupled from the transmitter to the environment and, in reverse, to the receiver from the environment. In this paper, an efficient and simple adaptive beam steering technique is presented. The proposed method is based on Least Mean Square (LMS) algorithm, provides a comprehensive and detailed treatment of the signal model used for beam forming. In order to improve the convergence rate of LMS algorithm in smart antenna system, this paper proposes the Block Based Normalized LMS (BBNLMS) algorithm. The performance of the BNLMS algorithm in the presence of Multi path effects and multiple users is analyzed using MATLAB simulations. Simulation results confirm that the convergence rate and error reduction of BBNLMS is superior than conventional LMS algorithm.
Keywords :
adaptive antenna arrays; antenna radiation patterns; array signal processing; beam steering; radio receivers; radio transmitters; BBNLMS algorithm; MATLAB simulations; adaptive antenna system; adaptive beam steering technique; antenna beam steering; beam forming; block based normalized LMS; least mean square; low complex adaptive algorithm; multi path effects; multiple antenna elements; radiation pattern; radio frequency energy; receiver; reception pattern; signal environment; signal model; signal-processing capability; smart antenna system; telecommunication system; transmitter; Adaptive arrays; Adaptive systems; Convergence; Interference; Least squares approximation; Signal processing algorithms; BBNLMS; Convergence Rate; LMS; Smart antenna;
Conference_Titel :
Signal Processing, Communication, Computing and Networking Technologies (ICSCCN), 2011 International Conference on
Conference_Location :
Thuckafay
Print_ISBN :
978-1-61284-654-5
DOI :
10.1109/ICSCCN.2011.6024567