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On the inclusion of channel's time dependence in a hidden Markov model for blind channel estimation

Author
Anton, C.; Fonollosa, José A. R.; R. Fonollosa, Javier
Type of activity
Presentation of work at congresses
Name of edition
8th Workshop on Statistical Signal and Array Processing
Date of publication
1996
Presentation's date
1996-06
Book of congress proceedings
SSAP 1996: 8th Workshop on Statistical Signal and Array Processing: Corfu, Greece: June 24-26, 1996
First page
164
Last page
167
Publisher
BOB WERNER IEEE COMPUTER SOCIETY PRESS
DOI
https://doi.org/10.1109/SSAP.1996.534844 Open in new window
Repository
http://hdl.handle.net/2117/102804 Open in new window
URL
http://ieeexplore.ieee.org/document/534844/ Open in new window
Abstract
We introduce several modifications to the Baum&Welch (BW) formulas used to reestimate the parameters of a hidden Markov model (HMM). The estimated parameter is the channel impulse response (CIR) of a communication system which is known to be time-varying. With these modifications, channel tracking properties of a BW-based algorithm are improved. The resulting algorithm is tested in a specific mobile radio environment (the GSM system), exhibiting good performance at expenses of higher computation...
Citation
Anton, C., Fonollosa, José A. R., R. Fonollosa, J. On the inclusion of channel's time dependence in a hidden Markov model for blind channel estimation. A: IEEE SIGNAL PROCESSING WORKSHOP ON STATISTICAL SIGNAL AND ARRAY PROCESSING. "?". BOB WERNER IEEE COMPUTER SOCIETY PRESS, 1996, p. 164-167.
Keywords
Cellular radio, Computational complexity, Hidden Markov models, Parameter estimation, Time-varying channels, Tracking, Transient analysis, Transient response
Group of research
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center
SPCOM - Signal Processing and Communications Group
TALP - Centre for Language and Speech Technologies and Applications
VEU - Speech Processing Group

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