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Article:Performance Analysis of LMS and NLMS Algorithms for a Smart Antenna System

by Dr. Valiuddin, Dr. Pervez Akhtar, M. Yasin
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 4 - Number 9
Year of Publication: 2010
Authors: Dr. Valiuddin, Dr. Pervez Akhtar, M. Yasin
10.5120/854-1196

Dr. Valiuddin, Dr. Pervez Akhtar, M. Yasin . Article:Performance Analysis of LMS and NLMS Algorithms for a Smart Antenna System. International Journal of Computer Applications. 4, 9 ( August 2010), 25-32. DOI=10.5120/854-1196

@article{ 10.5120/854-1196,
author = { Dr. Valiuddin, Dr. Pervez Akhtar, M. Yasin },
title = { Article:Performance Analysis of LMS and NLMS Algorithms for a Smart Antenna System },
journal = { International Journal of Computer Applications },
issue_date = { August 2010 },
volume = { 4 },
number = { 9 },
month = { August },
year = { 2010 },
issn = { 0975-8887 },
pages = { 25-32 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume4/number9/854-1196/ },
doi = { 10.5120/854-1196 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:52:39.450680+05:30
%A Dr. Valiuddin
%A Dr. Pervez Akhtar
%A M. Yasin
%T Article:Performance Analysis of LMS and NLMS Algorithms for a Smart Antenna System
%J International Journal of Computer Applications
%@ 0975-8887
%V 4
%N 9
%P 25-32
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Efficient utilization of limited radio frequency spectrum is only possible to use smart/adaptive antenna system. Smart antenna radiates not only narrow beam towards desired users exploiting signal processing capability but also places null towards interferers, thus optimizing the signal quality and enhancing capacity. Least mean square (LMS) and normalized least mean square (NLMS) are two adaptive beamforming algorithms which are presented in this paper. Smart antenna incorporates these algorithms in coded form which calculates complex weights according to the signal environment. The efficiency of LMS and NLMS algorithms is compared on the basis of normalized array factor and mean square error (MSE) for mobile communication. Simulation results reveal that both algorithms have high resolution for beam formation. However LMS has good performance to minimize MSE as compared to NLMS. Therefore, LMS is found more efficient algorithm to implement in the mobile communication environment to minimize MSE and enhancing capacity.

References
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  2. LAL. C. GODARA, Senior Member, IEEE, “Applications of Antenna Arrays to Mobile Communications, Part II; Beam-Forming and Directional of Arrival Considerations,” Proceeding of the IEEE, VOL. 85, NO. 8, pp. 1195-1245, August 1997.
  3. Kiranpreet Kaur, Magandeep Kaur, Ruchi Mittal, “Improvement in Capacity and Signal Strength Using LMS Algorithms,” International Journal of Computer Applications (0975 - 8887), Volume 1 – No. 5, pp. 103-107, 2010.
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Index Terms

Computer Science
Information Sciences

Keywords

Least Mean Square (LMS) Algorithm Normalized Least Mean Square (NLMS) Algorithm

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