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Title:
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Blind channel estimation and data detection using hidden Markov models theory
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Author:
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Antón Haro, Carles; Rodríguez Fonollosa, José Adrián; Rodríguez Fonollosa, Javier
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Other authors:
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Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions; Universitat Politècnica de Catalunya. SPCOM - Grup de Recerca de Processament del Senyal i Comunicacions |
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Abstract:
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In this correspondence, 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 timevarying
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. |
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Abstract:
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Peer Reviewed |
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Subject(s):
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-Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal
-Telecommunication systems
-Signal processing
-Blind channel estimation
-Baum-Welch algorithm
-Cellular radio
-Data detection
-Equalisers
-GSM environment
-Hidden Markov models
-HMM theory
-Linear constraints
-Linear FIR hypothesis
-Nonblind receiver
-Parameter estimation
-Signal detection
-Standard test channels
-Time-varying channels
-Performance analysis
-Sistemes de comunicació de banda ampla
-Processament del senyal |
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Rights:
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Document type:
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Article |
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Published by:
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IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
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