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 proceedingConference proceeding contributionpeer-review

4 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 languageEnglish
Title of host publicationIEEE Signal Processing Workshop on Signal Processing Advances in Wireless Communications, SPAWC
EditorsM. Viberg, J.-F. Cardoso
Place of PublicationPiscataway, N.J.
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1-4
Number of pages4
ISBN (Electronic)0780339452
ISBN (Print)0780339444
DOIs
Publication statusPublished - Apr 1997
Externally publishedYes
EventProceedings of the 1997 1st IEEE Signal Processing Workshop on Signal Processing Advances in Wireless Communications, SPAWC'97 - Paris, Fr
Duration: 16 Apr 199718 Apr 1997

Other

OtherProceedings of the 1997 1st IEEE Signal Processing Workshop on Signal Processing Advances in Wireless Communications, SPAWC'97
CityParis, Fr
Period16/04/9718/04/97

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