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Reseach Article

A Novel Adaptive Beam forming RLMS Algorithm for Smart Antenna System

by M. Kamaraju, K. Ramakrishna, K. Ramanjaneyulu
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 86 - Number 5
Year of Publication: 2014
Authors: M. Kamaraju, K. Ramakrishna, K. Ramanjaneyulu
10.5120/14983-3189

M. Kamaraju, K. Ramakrishna, K. Ramanjaneyulu . A Novel Adaptive Beam forming RLMS Algorithm for Smart Antenna System. International Journal of Computer Applications. 86, 5 ( January 2014), 27-32. DOI=10.5120/14983-3189

@article{ 10.5120/14983-3189,
author = { M. Kamaraju, K. Ramakrishna, K. Ramanjaneyulu },
title = { A Novel Adaptive Beam forming RLMS Algorithm for Smart Antenna System },
journal = { International Journal of Computer Applications },
issue_date = { January 2014 },
volume = { 86 },
number = { 5 },
month = { January },
year = { 2014 },
issn = { 0975-8887 },
pages = { 27-32 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume86/number5/14983-3189/ },
doi = { 10.5120/14983-3189 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:04:43.436160+05:30
%A M. Kamaraju
%A K. Ramakrishna
%A K. Ramanjaneyulu
%T A Novel Adaptive Beam forming RLMS Algorithm for Smart Antenna System
%J International Journal of Computer Applications
%@ 0975-8887
%V 86
%N 5
%P 27-32
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The smart antenna is a technology and has been applied to the cellular and mobile communication system. It is a combination of multiple antenna elements with a signal processing capability to optimize its radiation and/or reception pattern automatically change in response to the signal environment. The core of smart antenna is the selection of smart algorithms in adaptive array. In this paper, RLMS based adaptive beam forming algorithm is used to improve the performance of the cellular and mobile communication system. Using adaptive beam forming algorithm, the weights/coefficients of antenna arrays are adjusted to form adaptive beam with the required characteristics to track corresponding users automatically and at the same time to minimize interference arising from other users by introducing nulls in their directions. Recursive Least Mean Square (RLMS) algorithm provides a comprehensive and detailed treatment of the signal model used for beam forming. The performance of the RLMS algorithm in the presence of Multi-path effects and multiple users is analyzed using Software simulations. In the proposed method, mean square error is reduced and Convergence is improved in compared with LMS algorithm based method.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Smart antenna LMS RLMS Convergence Rate mean square error