2003•Electronics and Communications in Japan (Part III Fundamental Electronic Science)Requires access

A nonlinear recursive least squares algorithm for crosstalk‐resistant noise canceler

Masaaki Umayahara, Youji Iiguni, Hajime Maeda

Abstract

Abstract In this paper, a method of updating filter coefficients is proposed in which the RLS (Recursive Least Squares) algorithm is applied to a noise canceler with a filter for crosstalk removal. The RLS algorithm has an advantage over the Least Mean Square algorithm by virtue of better convergence. When the filter coefficients are updated including the filter for crosstalk removal, the error signal becomes nonlinear in terms of filter coefficients. Hence, a nonlinear RLS algorithm is derived in which such nonlinearity is taken into account. It is shown that the convergence is further improved in comparison with the conventional RLS algorithm. Finally, a method is proposed to reduce the noise contained in the transmitted voice signals of telephone by means of the present noise canceler and its effectiveness is evaluated. © 2003 Wiley Periodicals, Inc. Electron Comm Jpn Pt 3, 86(5): 36–44, 2003; Published online in Wiley InterScience ( www.interscience.wiley.com ). DOI 10.1002/ecjc.10039

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Key concepts: Recursive least squares filter, Least mean squares filter, Adaptive filter, Algorithm, Crosstalk, Nonlinear system, Kernel adaptive filter, Computer science