Volume : I, Issue : VI, March - 2012

Performance Comparison between LMS and NLMS Algorithm

Baljit Kaur

Abstract :

Interference or noise cancellation is one of the most important applications of adaptive filters. The objective of adaptive interference cancellation is to obtain by estimation of the interfering signal and subtracting it from corrupted signal. This procedure is helpful to produce a noise free signal. For this purpose, filter uses an adaptive algorithm to change the value of coefficients, so that it acquires a better approximation of the signal after each iteration. The LMS (Least Mean Square), and its variant the NLMS (Normalized LMS) are two of the adaptive algorithms widely in use. This paper presents comparative analysis of LMS and NLMS in case of interference cancellation from signals. For each algorithm, effects of two parameters filter length and step size have been analyzed and relation between them has been established. Finally, performances of the two algorithms in different cases have been compared.

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Article: Download PDF   DOI : 10.36106/ijar  

Cite This Article:

Baljit Kaur Performance Comparison between LMS and NLMS Algorithm Indian Journal of Applied Research, Vol.I, Issue.VI March 2012

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