A novel variable step size LMS algorithm employing cross correlation between channel output and error signal

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Tarih

2012

Dergi Başlığı

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Erişim Hakkı

info:eu-repo/semantics/closedAccess

Özet

A novel variable step size least mean squares (VSS-LMS) algorithm employing cross correlation between channel output and error signal has been proposed as a solution to disadvantage of slow convergence of LMS algorithm. The new algorithm resolves the conflict between the convergence rate and precise of the fixed step-size conventional LMS algorithm. Computer simulations have been performed to verify the performance of the proposed method in frequency selective Rayleigh fading channels. The obtained simulation results using HIPERLAN/1 standard have demonstrated that the proposed VSS-LMS algorithm has considerably better performance than conventional LMS, RLS, normalized LMS (N-LMS) and the other VSS-LMS algorithms. © 2012 IEEE.

Açıklama

2012 20th Signal Processing and Communications Applications Conference -- SIU 2012 -- 18 April 2012 through 20 April 2012 -- Fethiye -- Mugla -- 90786

Anahtar Kelimeler

Computer simulation, Signal processing, Channel output, Convergence rates, Cross correlations, Error signal, Frequency selective Rayleigh fading channels, Hiperlan, Least mean square(LMS), LMS algorithms, Normalized LMS, Step size, Variable step size, Variable step-size LMS algorithms, Algorithms

Kaynak

2012 20th Signal Processing and Communications Applications Conference, SIU 2012, Proceedings

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Scopus Q Değeri

N/A

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