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 the rotation-based multi-channel least squares lattice (QR-MLSL) algorithm, an...

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Vydané v:Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181) Ročník 3; s. 1733 - 1736 vol.3
Hlavní autori: Acar, E., Arikan, O.
Médium: Konferenčný príspevok..
Jazyk:English
Vydavateľské údaje: IEEE 1998
Predmet:
Adaptive filters
Adaptive systems
Filtering
Finite impulse response filter
IIR filters
Lattices
Least squares approximation
Parameter estimation
Recursive estimation
Robustness
ISBN:9780780344280, 0780344286
ISSN:1520-6149
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Shrnutí: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 the 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 extensive set of simulations, it is shown that the proposed algorithms converge faster to more reliable parameter estimates than LMS type algorithms.
ISBN:9780780344280
0780344286
ISSN:1520-6149
DOI:10.1109/ICASSP.1998.681793