DocumentCode :
1642607
Title :
Characterization of digital channels using hidden Markov models
Author :
Brümmer, J. N L
Author_Institution :
Datafusion Syst., Stellenbosch, South Africa
fYear :
1992
fDate :
9/11/1992 12:00:00 AM
Firstpage :
183
Lastpage :
188
Abstract :
To characterise the error process in binary symmetric channels with memory, the hidden Markov model allows more powerful modelling than the commonly used Fritchman models. Baum-Welch re-estimation is used to infer the model parameters from error sequences measured over the channel. This method is computationally very demanding for long error sequences, which are necessary when low BER channels are modelled. An efficient re-estimation has computational load directly proportional to the number of errors in the sequence rather than to its length. Channel simulation may be speeded-up similarly
Keywords :
computational complexity; digital communication systems; digital simulation; hidden Markov models; parameter estimation; telecommunication channels; Baum-Welch re-estimation; binary symmetric channels; computational load; digital channels; error sequences; hidden Markov models; simulation; Automata; Bit error rate; Communication channels; Computational modeling; Digital communication; Error analysis; Error correction; Hidden Markov models; Power system modeling; Statistics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications and Signal Processing, 1992. COMSIG '92., Proceedings of the 1992 South African Symposium on
Conference_Location :
Cape Town
Print_ISBN :
0-7803-0807-7
Type :
conf
DOI :
10.1109/COMSIG.1992.274287
Filename :
274287
Link To Document :
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