A new structure for adaptive IFIR filtering

A new structure for adaptive interpolated finite impulse response (AFIR) filtering is presented, in which the RLS algorithm can be directly applied for updating only the nonzero coefficients of the sparse filter. The approach is based on the linearly-constrained filter called the generalized sidelob...

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Bibliographic Details
Main Authors: Resende, L.S., Rocha, C.A.F., Bellanger, M.G.
Format: Conference Proceeding
Language:English
Subjects:
Adaptive filters
Electronic mail
Filtering algorithms
Finite impulse response filter
Least squares approximation
Nonlinear filters
Resonance light scattering
Transversal filters
Vectors
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Description
Summary:A new structure for adaptive interpolated finite impulse response (AFIR) filtering is presented, in which the RLS algorithm can be directly applied for updating only the nonzero coefficients of the sparse filter. The approach is based on the linearly-constrained filter called the generalized sidelobe canceller. The performance of the RLS algorithm applied to the AIFIR filtering is illustrated by simulations and compared with that of the LMS algorithm.
ISSN:1520-6149
2379-190X
DOI:10.1109/ICASSP.2000.861990