Title :
Filtered error adaptive IIR algorithms and their application to active noise control
Author :
Mosquera, Carlos ; Gómez, José A. ; Pérez-González, Femando
Author_Institution :
ETSI Telecomunicacion, Vigo Univ., Spain
Abstract :
This paper is concerned with systems in which the output error of an adaptive IIR filter is subsequently filtered, e.g., an active noise control system where a transfer function models the path between the injection point of the cancellation noise and the point where the residual error is measured. We propose a family of algorithms suited to this type of scenarios, deriving conditions for their deterministic convergence. The analysis of the convergence is particularized to the filtered-U recursive LMS algorithm, a popular scheme whose global convergence has never been proved formally. Finally, some results based on real measurements are also presented
Keywords :
IIR filters; acoustic signal processing; active noise control; adaptive filters; adaptive signal processing; convergence of numerical methods; error analysis; filtering theory; least mean squares methods; transfer functions; active noise control system; adaptive IIR filter; cancellation noise; deterministic convergence; filtered error adaptive IIR algorithms; filtered-U recursive LMS algorithm; global convergence; loudspeaker; measurements; output error; residual error; transfer function; Active filters; Active noise reduction; Adaptive control; Adaptive filters; Control system synthesis; Convergence; Error correction; IIR filters; Noise cancellation; Programmable control;
Conference_Titel :
Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-4428-6
DOI :
10.1109/ICASSP.1998.681784