A general form for recursive adaptive algorithms leading to an exact recursive CMA

Author

Hilal, Katia ; Duhamel, Pierre

Author_Institution

CNET Centre Paris B, Issy-Les-Moulineaux, France

Volume

4

fYear

1992

fDate

23-26 Mar 1992

Firstpage

17

Abstract

A new derivation of recursive adaptive algorithms which leads to a general formulation of the updating equation is provided. After showing that the classical recursive least square (RLS) algorithm is a special case of this approach, it is shown that with some ad hoc approximations this formulation can be applied to the constant modulus (CM) criterion. The algorithm obtained is simulated in the mobile radio context and its performances are compared to those of other classical or more recent algorithms with a constant modulus criterion, showing a significant improvement in convergence rate and residual error

Keywords

adaptive filters; convergence; digital filters; least squares approximations; mobile radio systems; classical RLS algorithm; constant modulus algorithm; convergence rate; exact recursive CMA; recursive adaptive algorithms; residual error; updating equation; Adaptive algorithm; Blind equalizers; Convergence; Distortion measurement; Equations; Least squares approximation; Least squares methods; Nonlinear filters; Resonance light scattering; Signal processing algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on

Conference_Location

San Francisco, CA

ISSN

1520-6149

Print_ISBN

0-7803-0532-9

Type

conf

DOI

10.1109/ICASSP.1992.226422

Filename

226422