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Reseach Article

Performance improvement in beamforming of Smart Antenna by using LMS algorithm

Published on March 2012 by B. G. Hogade, Jyoti Chougale-Patil, Shrikant K.Bodhe
2nd National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2013)
Foundation of Computer Science USA
NCIPET - Number 15
March 2012
Authors: B. G. Hogade, Jyoti Chougale-Patil, Shrikant K.Bodhe
3eb45b9d-b9d1-455f-9642-39d17238e930

B. G. Hogade, Jyoti Chougale-Patil, Shrikant K.Bodhe . Performance improvement in beamforming of Smart Antenna by using LMS algorithm. 2nd National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2013). NCIPET, 15 (March 2012), 31-35.

@article{
author = { B. G. Hogade, Jyoti Chougale-Patil, Shrikant K.Bodhe },
title = { Performance improvement in beamforming of Smart Antenna by using LMS algorithm },
journal = { 2nd National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2013) },
issue_date = { March 2012 },
volume = { NCIPET },
number = { 15 },
month = { March },
year = { 2012 },
issn = 0975-8887,
pages = { 31-35 },
numpages = 5,
url = { /proceedings/ncipet/number15/5308-1120/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 2nd National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2013)
%A B. G. Hogade
%A Jyoti Chougale-Patil
%A Shrikant K.Bodhe
%T Performance improvement in beamforming of Smart Antenna by using LMS algorithm
%J 2nd National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2013)
%@ 0975-8887
%V NCIPET
%N 15
%P 31-35
%D 2012
%I International Journal of Computer Applications
Abstract

The smart antenna adaptive algorithms achieve the best weight vector for beam forming by iterative means. Whether the algorithm is good depends on the convergence rate and steady state error. Beam forming is directly determined by the two factors. The performance of the traditional LMS algorithm is analyzed in this paper. Then a new variable step size algorithm is proposed and is applied to beam forming with the software Matlab. The simulation result indicates that the algorithm improved could achieve faster convergence and lower steady state error

References
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Index Terms

Computer Science
Information Sciences

Keywords

Smart antenna adaptive algorithm LMS beamforming antenna arrays