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Blind channel estimation and data detection using hidden Markov models

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3 Author(s)
Anton-Haro, C. ; Dept. de Teoria del Senyal i Comunicacions, Univ. Politecnica de Catalunya, Barcelona, Spain ; Fonollosa, J.A.R. ; Fonollosa, J.R.

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

Published in:

Signal Processing, IEEE Transactions on  (Volume:45 ,  Issue: 1 )

Date of Publication:

Jan 1997

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