Title :
Improved noise canceller performance by means of an adaptive arrangement of IIR and FIR filters
Author :
Downing, C.P. ; Boland, F.M. ; Foley, J.B.
Author_Institution :
Dept. of Electron. & Commun. Eng., Dublin Inst. of Technol., UK
Abstract :
It is shown that when the primary input of an LMS (least mean square) adaptive noise canceler contains interference derived from a white source by means of an autoregressive process, a hybrid arrangement of adaptive IIR (infinite impulse response) and FIR (finite impulse response) filters can achieve improved performance. Convergence and stability problems are avoided by using a conventional LMS FIR adaptive filter to identify the interference while an auxiliary IIR filter cancels the residual components for which the FIR filter is insufficient. Stability is analyzed and simulation results are presented. The stability of the IIR filter is shown to depend on the LMS step size, the variance of the wanted signal, and the interference due to the uncancelled tail
Keywords :
adaptive filters; digital filters; filtering and prediction theory; interference suppression; FIR; IIR; adaptive; autoregressive; convergence; filters; least mean square; noise canceller; stability; Adaptive filters; Analytical models; Autoregressive processes; Convergence; Finite impulse response filter; IIR filters; Interference cancellation; Least squares approximation; Noise cancellation; Stability analysis;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1989. ICASSP-89., 1989 International Conference on
Conference_Location :
Glasgow
DOI :
10.1109/ICASSP.1989.266852
