Title
Laguerre escalator lattice and feedforward/feedback active noise control
Abstract
In this paper, a new Laguerre Escalator Lattice structure for an adaptive filter is proposed. This new structure orthogonalizes a nonstationary signal with computational efficiency. In this, the escalator lattice orthogonalizes a nonstationary signal and the Laguerre structure provides the computational efficiency. Further, its nonstationary orthogonalization has been exploited for active noise control (ANC). In the feedforward ANC (FFANC), the new orthogonalization of the input is used both for the main path identification and for the noise canceller for the secondary path identification. In the feedback ANC (FBANC), it is used to predict the nonstationary primary noise field component from the residual noise, for deriving the desired error for the secondary path identification. For the system identification with a nonstationary input, the proposed structure has a significantly improved performance both in terms of convergence speed and error, over that of the Laguerre lattice. Its application to FFANC for a nonstationary noise filed results in a very good performance both in terms of convergence speed and the error magnitude over that of Laguerre lattice. In FBANC, the ability of the new adaptive filter to accurately predict the nonstationary primary noise component from the error for the noise canceller improves the secondary path identification. This results in a significant improvement in ANC performance of about 5dB over that one uses Laguerre lattice predictor. Further, the escalator realization by Laguerre structure reduces the computations significantly (by about 50%).
Year
DOI
Venue
2007
10.1016/j.sigpro.2006.07.008
Signal Processing
Keywords
Field
DocType
laguerre lattice,convergence speed,backward prediction error,computational complexity,nonstationary input,nonstationarity,active noise control,nonstationary noise,computational efficiency,secondary path identification,feedback active noise control,escalator structure,noise canceller,laguerre escalator lattice,laguerre structure,nonstationary signal,system identification,prediction error,adaptive filter
Noise reduction,Laguerre polynomials,Control theory,Rate of convergence,Adaptive filter,Active noise control,System identification,Orthogonalization,Mathematics,Feed forward
Journal
Volume
Issue
ISSN
87
4
Signal Processing
Citations 
PageRank 
References 
4
0.53
6
Authors
2
Name
Order
Citations
PageRank
S. Veena1242.57
S. V. Narasimhan29315.07