Title :
Robust FxLMS algorithms with improved convergence performance
Author :
Rupp, Markus ; Sayed, Ali H.
Author_Institution :
Wireless Technol. Res. Dept., Lucent Technol., Holmdel, NJ, USA
fDate :
1/1/1998 12:00:00 AM
Abstract :
This paper proposes two modifications of the filtered-x least mean squares (FxLMS) algorithm with improved convergence behavior albeit at the same computational cost of 2M operations per time step as the original FxLMS update. The paper further introduces a generalized FxLMS recursion and establishes that the various algorithms are all of filtered-error form. A choice of the stepsize parameter that guarantees faster convergence and conditions for robustness are also derived. Several simulation results are included to illustrate the discussions
Keywords :
acoustic noise; active noise control; convergence of numerical methods; filtering theory; least mean squares methods; FIR filter; FxLMS update; active noise control; computational cost; convergence performance; filtered-error form; filtered-x least mean squares; generalized FxLMS recursion; robust FxLMS algorithms; simulation results; stepsize parameter; Active noise reduction; Computational efficiency; Control systems; Convergence; Ducts; Feedback; Finite impulse response filter; Microphones; Noise level; Noise robustness;
Journal_Title :
Speech and Audio Processing, IEEE Transactions on
