Title :
Characterization of digital channels using hidden Markov models
Author_Institution :
Datafusion Syst., Stellenbosch, South Africa
fDate :
9/11/1992 12:00:00 AM
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;
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
DOI :
10.1109/COMSIG.1992.274287