Title :
Adaptive Beam Former Design Using RLS Algorithm for Smart Antenna System
Author :
Zalawadia, Khyati R. ; Doshi, Twinkle V. ; Dalal, U.D.
Author_Institution :
E&C Eng. Dept., Babaria Inst. of Technol., Varnnama, India
Abstract :
Smart antenna is the most efficient leading innovation for maximum capacity and improved quality and coverage. Using beam forming algorithms the weight of antenna arrays can be adjusted to form certain amount of adaptive beam to track corresponding users automatically and at the same time to minimize interference arising from other users by introducing nulls in their directions. This paper focuses on adaptive beam forming approach used in smart antennas and Recursive Least Square (RLS) adaptive algorithm used to compute the complex weights by own simulation. The performance of the RLS algorithm is analyzed, in the presence of Additive White Gaussian Noise (AWGN) and two interferences. Our all results and graphs are simulated using MATLAB software.
Keywords :
AWGN; adaptive antenna arrays; array signal processing; interference (signal); AWGN; MATLAB software; RLS adaptive algorithm; RLS algorithm; adaptive beam former design; adaptive beam forming approach; additive white Gaussian noise; antenna arrays; interference minimization; recursive least square; smart antenna system; Adaptive arrays; Algorithm design and analysis; Array signal processing; Vectors; Wireless communication; Adaptive Algorithms; Antenna Arrays; Beamforming; Interference; RLS;
Conference_Titel :
Computational Intelligence and Communication Networks (CICN), 2011 International Conference on
Conference_Location :
Gwalior
Print_ISBN :
978-1-4577-2033-8
DOI :
10.1109/CICN.2011.20
