DocumentCode
302590
Title
Stability of non-Wiener solutions of the filtered LMS algorithm
Author
Bermudez, José Carlos M ; Bershad, Neil J.
Author_Institution
Lab. de Instrumentacao Eletron., Univ. Federal de Santa Catarina, Florianapolis, Brazil
Volume
2
fYear
1996
fDate
12-15 May 1996
Firstpage
372
Abstract
This paper analyzes the stability of Non-Wiener solutions to the Filtered LMS algorithm. The algorithm inputs are sinusoidal and the loop filters are modelled as pure delays. A pair of time-invariant coupled first order difference equations are derived which define the behavior of the time varying algorithm weights. The state-transition matrix for the time-invariant difference equations is studied using root-locus techniques. The stability of the Filtered LMS algorithm is determined as a function of the algorithm step size μ, the number of taps N and the reference signal power. The theory is applied to the algorithm design for active acoustic noise cancellation. A design procedure is presented which allows the theory to be extended to frequency dependent delays in the adaptation loop. Simulation results an in shown to be in close agreement with the theory
Keywords
active noise control; difference equations; filtering theory; least mean squares methods; numerical stability; active acoustic noise cancellation; adaptation loop filter; design; filtered LMS algorithm; frequency dependent delay; nonWiener solution; pure delay; root locus; simulation; sinusoidal input; stability; state-transition matrix; time varying weights; time-invariant coupled first order difference equations; Acoustic noise; Adaptive filters; Algorithm design and analysis; Delay; Difference equations; Filtering; Least squares approximation; Noise cancellation; Stability analysis; Stochastic resonance;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1996. ISCAS '96., Connecting the World., 1996 IEEE International Symposium on
Conference_Location
Atlanta, GA
Print_ISBN
0-7803-3073-0
Type
conf
DOI
10.1109/ISCAS.1996.541724
Filename
541724
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