Research Article

Improvement in Capacity and Signal Strength Using LMS Algorithm

by  Kiranpreet Kaur, Magandeep Kaur, Ruchi Mittal
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 1 - Issue 5
Published: February 2010
Authors: Kiranpreet Kaur, Magandeep Kaur, Ruchi Mittal
10.5120/116-231
PDF

Kiranpreet Kaur, Magandeep Kaur, Ruchi Mittal . Improvement in Capacity and Signal Strength Using LMS Algorithm. International Journal of Computer Applications. 1, 5 (February 2010), 90-93. DOI=10.5120/116-231

                        @article{ 10.5120/116-231,
                        author  = { Kiranpreet Kaur,Magandeep Kaur,Ruchi Mittal },
                        title   = { Improvement in Capacity and Signal Strength Using LMS Algorithm },
                        journal = { International Journal of Computer Applications },
                        year    = { 2010 },
                        volume  = { 1 },
                        number  = { 5 },
                        pages   = { 90-93 },
                        doi     = { 10.5120/116-231 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2010
                        %A Kiranpreet Kaur
                        %A Magandeep Kaur
                        %A Ruchi Mittal
                        %T Improvement in Capacity and Signal Strength Using LMS Algorithm%T 
                        %J International Journal of Computer Applications
                        %V 1
                        %N 5
                        %P 90-93
                        %R 10.5120/116-231
                        %I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper provides the information regarding the improvement in capacity and signal strength with the implementation of adaptive beamfoming algorithms (LMS and SMI) in adaptive antenna arrays.In this a beamforming algorithm is analyzed for flexible side lobe adjustment. The algorithm places a very low side lobe level over a large width in the beam pattern. The convergence of this algorithm is fast and requires only two to three iterations.

References
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  • L. C. Godara," Application of antenna arrays to mobile communication, Part I: Performance improvement, feasibility, and system considerations", Proc. IEEE, vol. 85, no. 7, pp. 1031-1060, July 1997.
  • L. C. Godara," Application of antenna arrays to mobile communication, Part II: Beam-forming, and direction-of-arrival considerations", Proc. IEEE, vol. 85, no. 8, pp. 1195-1245, August 1997.
  • J.Litva and T.Kwok-Yeung Lo, " Digital Beamforming in Wireless Communication", John Wiley and Sons, New York, 1996.
  • J.H.Winters,"Smart Antennas for Wireless Systems", IEEE Personal Communications Magazine, pp. 23-27, February 1998.
Index Terms
Computer Science
Information Sciences
No index terms available.
Keywords

Beam forming Covariance matrix Chebychev antenna pattern

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