HDL implementation of the variable step size N-LMS adaptive algorithm

This paper proposes a Verilog implementation of the normalized least mean square (NLMS) adaptive algorithm, having a variable step size. The envisaged application is the identification of an unknown system. First the convergence of derived LMS algorithms was analyzed in a Simulink application. The N...

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Bibliographische Detailangaben
Hauptverfasser:	Dornean, I., Topa, M., Kirei, B., Oltean, G.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Adaptation model Adaptive filters Algorithm design and analysis Convergence Field programmable gate arrays Least squares approximations Signal processing algorithms
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Beschreibung
Zusammenfassung:	This paper proposes a Verilog implementation of the normalized least mean square (NLMS) adaptive algorithm, having a variable step size. The envisaged application is the identification of an unknown system. First the convergence of derived LMS algorithms was analyzed in a Simulink application. The NLMS was chosen for its good convergence and stability. Next a HDL implementation was developed for a 4 th order NLMS adaptive filter. ModelSim simulations results altogether with plots obtained in Matlab prove the good behavior of the NLMS algorithm, making it an important competitor for the conventional LMS.
DOI:	10.1109/AQTR.2008.4588920