A robust variable step size LMS-type algorithm: analysis and simulations

TitleA robust variable step size LMS-type algorithm: analysis and simulations
Publication TypeConference Paper
Year of Publication1995
AuthorsMayyas, K., and T. Aboulnasr
Conference NameAcoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on
Pagination1408 -1411 vol.2
Date Publishedmay.
Keywordsadaptive filters, convergence, convergence of numerical methods, digital filters, Gaussian processes, interference (signal), least mean squares methods, misadjustment, noise, nonstationary environment, nonstationary optimal weight vector, performance, robust variable step size LMS-type algorithm, steady state performance, zero-mean stationary Gaussian inputs
Abstract

The paper presents a robust variable step size LMS-type algorithm with the attractive property of achieving a small final misadjustment while providing fast convergence at early stages of adaptation. The performance of the algorithm is not affected by the presence of noise. Approximate analysis of convergence and steady state performance for zero-mean stationary Gaussian inputs and a nonstationary optimal weight vector is provided. Simulation results clearly indicate its superior performance for stationary cases. For the nonstationary environment, the algorithm provides performance equivalent to that of the regular LMS algorithm

URLhttp://dx.doi.org/10.1109/ICASSP.1995.480505
DOI10.1109/ICASSP.1995.480505

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