Title :
Noise cancellation using a split-path adaptive filter
Author :
Ho, K.C. ; Ching, P.C.
Author_Institution :
Dept. of Electron. Eng., Chinese Univ. of Hong Kong, Shatin, Hong Kong
Abstract :
A new structure for adaptive noise cancellation is suggested to improve the convergence characteristics of extracting a non-stationary correlated signal corrupted by random noise. The canceller composes of two linear phase filters which are connected in parallel and both filters are being adapted independently according to Widrow´s least-mean-square (LMS) algorithm. The merits of the new configuration are discussed and a comparison with the conventional structure that consists of a single transversal filter is also included. Experimental results show that the proposed canceller has a superior performance in the context of removing contaminated noise since gradient fluctuation during adaptation could be suppressed considerably which in turn speeds up the rate of convergence
Keywords :
adaptive filters; convergence; digital filters; filtering and prediction theory; interference suppression; signal processing; LMS algorithm; adaptive noise cancellation; convergence characteristics; least-mean-square; linear phase filters; nonstationary correlated signal; random noise; split-path adaptive filter; transversal filter; Adaptive filters; Convergence; Delay; Finite impulse response filter; Least squares approximation; Noise cancellation; Nonlinear filters; Signal processing; Statistics; Transversal filters;
Conference_Titel :
Circuits and Systems, 1991. Conference Proceedings, China., 1991 International Conference on
Conference_Location :
Shenzhen
DOI :
10.1109/CICCAS.1991.184305