Constrained maximum likelihood estimation of time-varying linear channels

Linda M. Davis; Iain B. Collings; Robin J. Evans

doi:10.1109/SPAWC.1997.630044

Constrained maximum likelihood estimation of time-varying linear channels

Linda M. Davis^*, Iain B. Collings, Robin J. Evans

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

7 Citations (Scopus)

Abstract

This paper considers the identification of time-varying linear channels using maximum likelihood estimation. The channel is modelled as a tapped-delay line filter with complex coefficients. Due to the complexity of the likelihood function and the large number of parameters to be estimated, an analytical maximization of the likelihood function is infeasible. Therefore, gradient algorithms are considered in this paper. We consider the structure of the channel tap covariances, and present a gradient algorithm for finding the constrained maximum likelihood estimates of the channel parameters.

Original language	English
Title of host publication	IEEE Signal Processing Workshop on Signal Processing Advances in Wireless Communications, SPAWC
Editors	M. Viberg, J.-F. Cardoso
Place of Publication	Piscataway, N.J.
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	1-4
Number of pages	4
ISBN (Electronic)	0780339452
ISBN (Print)	0780339444
DOIs	https://doi.org/10.1109/SPAWC.1997.630044
Publication status	Published - Apr 1997
Externally published	Yes
Event	Proceedings of the 1997 1st IEEE Signal Processing Workshop on Signal Processing Advances in Wireless Communications, SPAWC'97 - Paris, Fr Duration: 16 Apr 1997 → 18 Apr 1997

Other

Other	Proceedings of the 1997 1st IEEE Signal Processing Workshop on Signal Processing Advances in Wireless Communications, SPAWC'97
City	Paris, Fr
Period	16/04/97 → 18/04/97

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10.1109/SPAWC.1997.630044

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Davis, L. M., Collings, I. B., & Evans, R. J. (1997). Constrained maximum likelihood estimation of time-varying linear channels. In M. Viberg, & J.-F. Cardoso (Eds.), IEEE Signal Processing Workshop on Signal Processing Advances in Wireless Communications, SPAWC (pp. 1-4). Article 630044 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/SPAWC.1997.630044

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title = "Constrained maximum likelihood estimation of time-varying linear channels",

abstract = "This paper considers the identification of time-varying linear channels using maximum likelihood estimation. The channel is modelled as a tapped-delay line filter with complex coefficients. Due to the complexity of the likelihood function and the large number of parameters to be estimated, an analytical maximization of the likelihood function is infeasible. Therefore, gradient algorithms are considered in this paper. We consider the structure of the channel tap covariances, and present a gradient algorithm for finding the constrained maximum likelihood estimates of the channel parameters.",

author = "Davis, {Linda M.} and Collings, {Iain B.} and Evans, {Robin J.}",

year = "1997",

month = apr,

doi = "10.1109/SPAWC.1997.630044",

language = "English",

isbn = "0780339444",

pages = "1--4",

editor = "M. Viberg and J.-F. Cardoso",

booktitle = "IEEE Signal Processing Workshop on Signal Processing Advances in Wireless Communications, SPAWC",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

note = "Proceedings of the 1997 1st IEEE Signal Processing Workshop on Signal Processing Advances in Wireless Communications, SPAWC'97 ; Conference date: 16-04-1997 Through 18-04-1997",

}

Davis, LM, Collings, IB & Evans, RJ 1997, Constrained maximum likelihood estimation of time-varying linear channels. in M Viberg & J-F Cardoso (eds), IEEE Signal Processing Workshop on Signal Processing Advances in Wireless Communications, SPAWC., 630044, Institute of Electrical and Electronics Engineers (IEEE), Piscataway, N.J., pp. 1-4, Proceedings of the 1997 1st IEEE Signal Processing Workshop on Signal Processing Advances in Wireless Communications, SPAWC'97, Paris, Fr, 16/04/97. https://doi.org/10.1109/SPAWC.1997.630044

Constrained maximum likelihood estimation of time-varying linear channels. / Davis, Linda M.; Collings, Iain B.; Evans, Robin J.
IEEE Signal Processing Workshop on Signal Processing Advances in Wireless Communications, SPAWC. ed. / M. Viberg; J.-F. Cardoso. Piscataway, N.J.: Institute of Electrical and Electronics Engineers (IEEE), 1997. p. 1-4 630044.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

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AU - Collings, Iain B.

AU - Evans, Robin J.

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AB - This paper considers the identification of time-varying linear channels using maximum likelihood estimation. The channel is modelled as a tapped-delay line filter with complex coefficients. Due to the complexity of the likelihood function and the large number of parameters to be estimated, an analytical maximization of the likelihood function is infeasible. Therefore, gradient algorithms are considered in this paper. We consider the structure of the channel tap covariances, and present a gradient algorithm for finding the constrained maximum likelihood estimates of the channel parameters.

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M3 - Conference proceeding contribution

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SN - 0780339444

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BT - IEEE Signal Processing Workshop on Signal Processing Advances in Wireless Communications, SPAWC

A2 - Viberg, M.

A2 - Cardoso, J.-F.

PB - Institute of Electrical and Electronics Engineers (IEEE)

CY - Piscataway, N.J.

T2 - Proceedings of the 1997 1st IEEE Signal Processing Workshop on Signal Processing Advances in Wireless Communications, SPAWC'97

Y2 - 16 April 1997 through 18 April 1997

ER -

Constrained maximum likelihood estimation of time-varying linear channels

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