Time-varying channel equalization using multiresolution analysis

M. K. Tsatsanis, G. B. Giannakis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

The equalization problem for rapidly varying channels is addressed, using multiresolution analysis tools. The time variations of the channel are modeled directly by expanding each time-varying (TV) tap coefficient onto a P-band wavelet basis. Only the low-resolution signal is then retained as a natural approximation of the channel's trajectory. The choice of the wavelet basis so that the approximation is optimal in the mean square sense is discussed. An algorithm based on higher-order statistics, which estimates the wavelet coefficients from output-only data, is proposed. Once the channel has been estimated, the Viterbi algorithm is used to complete this blind equalization approach.

Original languageEnglish (US)
Title of host publicationProceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages447-450
Number of pages4
ISBN (Electronic)0780308050, 9780780308053
DOIs
StatePublished - 1992
Externally publishedYes
Event1992 IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis - Victoria, Canada
Duration: Oct 4 1992Oct 6 1992

Publication series

NameProceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis

Conference

Conference1992 IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis
Country/TerritoryCanada
CityVictoria
Period10/4/9210/6/92

Bibliographical note

Publisher Copyright:
© 1992 IEEE.

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