Effective algorithms for regressor based adaptive infinite impulse response filtering

To take advantage of fast converging multi-channel recursive least squares algorithms, we propose an adaptive IIR system structure consisting of two parts: a two-channel FIR adaptive filter whose parameters are updated by rotation-based multi-channel least squares lattice (QR-MLSL) algorithm, and an...

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Bibliographic Details
Published in:1998 IEEE International Symposium on Circuits and Systems Vol. 5; pp. 265 - 268 vol.5
Main Authors: Acar, E., Arikan, O.
Format: Conference Proceeding
Language:English
Published: IEEE 1998
Subjects:
Adaptive filters
Adaptive systems
Cost function
Filtering algorithms
Finite impulse response filter
IIR filters
Least squares approximation
Least squares methods
Output feedback
Parameter estimation
ISBN:9780780344556, 0780344553
Online Access:Get full text
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Summary:To take advantage of fast converging multi-channel recursive least squares algorithms, we propose an adaptive IIR system structure consisting of two parts: a two-channel FIR adaptive filter whose parameters are updated by rotation-based multi-channel least squares lattice (QR-MLSL) algorithm, and an adaptive regressor which provides more reliable estimates to the original system output based on previous values of the adaptive system output and noisy observation of the original system output. Two different regressors are investigated and robust ways of adaptation of the regressor parameters are proposed. Based on an extensive set of simulations, it is shown that the proposed algorithms converge faster to more reliable parameter estimates than LMS type algorithms.
ISBN:9780780344556
0780344553
DOI:10.1109/ISCAS.1998.694460