Blind channel estimation and data detection using hidden Markovmodels

Authors:
C. Anton-Haro;J.A.R. Fonollosa;J.R. Fonollosa
Affiliations:
Dept. de Teoria del Senyal i Comunicacions, Univ. Politecnica de Catalunya, Barcelona;-;-
Venue:
IEEE Transactions on Signal Processing
Year:
1997

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Performance Evaluation
Low complexity generalized EM algorithm for blind channel estimation and data detection in optical communication systems

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Abstract

We propose applying the hidden Markov models (HMM) theory to the problem of blind channel estimation and data detection. The Baum-Welch (BW) algorithm, which is able to estimate all the parameters of the model, is enriched by introducing some linear constraints emerging from a linear FIR hypothesis on the channel. Additionally, a version of the algorithm that is suitable for time-varying channels is also presented. Performance is analyzed in a GSM environment using standard test channels and is found to be close to that obtained with a nonblind receiver