The effect of transfer function estimation errors on the filtered-x LMS algorithm

The filtered-x LMS algorithm, which is commonly implemented in active noise and vibration control systems, requires an estimate of the cancellation path transfer function to maintain algorithm stability. This correspondence considers the effect of errors in this estimate on the stability of the algo...

Full description

Saved in:
Bibliographic Details
Published inIEEE transactions on signal processing Vol. 42; no. 4; pp. 950 - 953
Main Authors Snyder, S.D., Hansen, C.H.
Format Journal Article
LanguageEnglish
Published New York, NY IEEE 01.04.1994
Institute of Electrical and Electronics Engineers
Subjects
Adaptive filters
Applied sciences
Autocorrelation
Convergence
Detection, estimation, filtering, equalization, prediction
Estimation error
Exact sciences and technology
Finite impulse response filter
Information, signal and communications theory
Least squares approximation
Signal and communications theory
Signal processing
Signal processing algorithms
Signal, noise
Telecommunications and information theory
Transfer functions
Vibration control
Estimation error
Stability
Vibration
Least squares method
Control system
Signal processing
Transfer function
Algorithm
Noise control
Online AccessGet full text
ISSN1053-587X
DOI10.1109/78.285659

Cover

More Information
Summary:The filtered-x LMS algorithm, which is commonly implemented in active noise and vibration control systems, requires an estimate of the cancellation path transfer function to maintain algorithm stability. This correspondence considers the effect of errors in this estimate on the stability of the algorithm implemented in the time domain, concluding that while a maximum phase error of /spl plusmn/90/spl deg/ is a bound for stability, there is no simple relationship between error and stability within this region.< >
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:1053-587X
DOI:10.1109/78.285659