Comprehensive analysis of LMS and NLMS algorithms using adaptive equalizers

The main emphasis in this paper lies on evaluation of adaptive algorithms which are predominantly used. They are LMS and NLMS algorithms respectively. Initially these algorithms are applied on adaptive equalizers. Then we further analysed and compared two types of LMS algorithms namely sign-sign LMS...

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Bibliographic Details
Published in2014 International Conference on Communication and Signal Processing : 3-5 April 2014 pp. 1101 - 1104
Main Authors Mvsr, Teja, Meghashyam, K., Verma, Anubha
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2014
Subjects
Adaptive Equalizers
Algorithm design and analysis
Computational efficiency
Convergence
Heuristic algorithms
Instruments
Least squares approximations
LMS Algorithm
NLMS Algorithm
Noise
Sign-Data LMS Algorithm
Sign-Sign LMS Algorithm
Step-Size
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ISBN1479933570
9781479933570
DOI10.1109/ICCSP.2014.6950018

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Summary:The main emphasis in this paper lies on evaluation of adaptive algorithms which are predominantly used. They are LMS and NLMS algorithms respectively. Initially these algorithms are applied on adaptive equalizers. Then we further analysed and compared two types of LMS algorithms namely sign-sign LMS algorithm and sign-sign LMS algorithm. The overlap of coefficients is very high when step-size is very small. We found that LMS algorithm is simple and gives good results if proper step size is chosen and NLMS alternates step-size according to energy of input signal hence it is suitable for both stationary as well as non-stationary environment. Regarding sign-data and sign-sign LMS algorithms we found that the former is better than the latter as deviations and amplitude are very high in the latter case.
ISBN:1479933570
9781479933570
DOI:10.1109/ICCSP.2014.6950018