Prediction error methods for time-domain blind identification of multichannel FIR filters

K. Abed Merain; P. Duhamel; D. Gesbert; P. Loubaton; S. Mayrargue; E. Moulines; D. Slock

Prediction error methods for time-domain blind identification of multichannel FIR filters

K. Abed Merain
, P. Duhamel
, D. Gesbert
, P. Loubaton
, S. Mayrargue
, E. Moulines
, D. Slock

CNRS

Résultats de recherche: Contribution à un journal › Article de conférence › Revue par des pairs

54 Citations (Scopus)

Résumé

Blind channel identification methods based on the over-sampled channel output is a problem of current theoretical and practical interest. In this contribution, it is first demonstrated that the subspace methods developed in [1] are not robust to errors in the determination of the model order. An alternative solution is then proposed, based on a linear prediction approach. The effect of overestimating the channel order is investigated by simulations: it is demonstrated that the prediction error methods is 'robust' to over-determination, in contrast to most of the schemes suggested to date.

langue originale	Anglais
Pages (de - à)	1968-1971
Nombre de pages	4
journal	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume	3
état	Publié - 1 janv. 1995
Evénement	Proceedings of the 1995 20th International Conference on Acoustics, Speech, and Signal Processing. Part 2 (of 5) - Detroit, MI, USA Durée: 9 mai 1995 → 12 mai 1995

Contient cette citation

@article{5940a19f96404ec68e0e833720b8f133,

title = "Prediction error methods for time-domain blind identification of multichannel FIR filters",

abstract = "Blind channel identification methods based on the over-sampled channel output is a problem of current theoretical and practical interest. In this contribution, it is first demonstrated that the subspace methods developed in [1] are not robust to errors in the determination of the model order. An alternative solution is then proposed, based on a linear prediction approach. The effect of overestimating the channel order is investigated by simulations: it is demonstrated that the prediction error methods is 'robust' to over-determination, in contrast to most of the schemes suggested to date.",

author = "Merain, \{K. Abed\} and P. Duhamel and D. Gesbert and P. Loubaton and S. Mayrargue and E. Moulines and D. Slock",

year = "1995",

month = jan,

day = "1",

language = "English",

volume = "3",

pages = "1968--1971",

journal = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",

issn = "1520-6149",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "Proceedings of the 1995 20th International Conference on Acoustics, Speech, and Signal Processing. Part 2 (of 5) ; Conference date: 09-05-1995 Through 12-05-1995",

}

Prediction error methods for time-domain blind identification of multichannel FIR filters. / Merain, K. Abed; Duhamel, P.; Gesbert, D. et al.
Dans: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, Vol 3, 01.01.1995, p. 1968-1971.

Résultats de recherche: Contribution à un journal › Article de conférence › Revue par des pairs

TY - JOUR

T1 - Prediction error methods for time-domain blind identification of multichannel FIR filters

AU - Merain, K. Abed

AU - Duhamel, P.

AU - Gesbert, D.

AU - Loubaton, P.

AU - Mayrargue, S.

AU - Moulines, E.

AU - Slock, D.

PY - 1995/1/1

Y1 - 1995/1/1

N2 - Blind channel identification methods based on the over-sampled channel output is a problem of current theoretical and practical interest. In this contribution, it is first demonstrated that the subspace methods developed in [1] are not robust to errors in the determination of the model order. An alternative solution is then proposed, based on a linear prediction approach. The effect of overestimating the channel order is investigated by simulations: it is demonstrated that the prediction error methods is 'robust' to over-determination, in contrast to most of the schemes suggested to date.

AB - Blind channel identification methods based on the over-sampled channel output is a problem of current theoretical and practical interest. In this contribution, it is first demonstrated that the subspace methods developed in [1] are not robust to errors in the determination of the model order. An alternative solution is then proposed, based on a linear prediction approach. The effect of overestimating the channel order is investigated by simulations: it is demonstrated that the prediction error methods is 'robust' to over-determination, in contrast to most of the schemes suggested to date.

M3 - Conference article

AN - SCOPUS:0028996429

SN - 1520-6149

VL - 3

SP - 1968

EP - 1971

JO - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

JF - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

T2 - Proceedings of the 1995 20th International Conference on Acoustics, Speech, and Signal Processing. Part 2 (of 5)

Y2 - 9 May 1995 through 12 May 1995

ER -

Prediction error methods for time-domain blind identification of multichannel FIR filters

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