Title :
A new structured HMM model applied to burst errors in Viterbi decoding
Author :
Fernandes, Marcus S. ; Pinto, Ernesto L. ; Grivet, Marco A.
Author_Institution :
Mil. Inst. of Eng., Rio de Janeiro, Brazil
fDate :
Aug. 28 2010-Sept. 3 2010
Abstract :
A novel structured Markovian model for burst-error channel has been proposed, which mimics the generation of typical patterns of burst-error sequences and has only 7 parameters to be adjusted. Simple expressions for ML estimation of those parameters have been derived and applied to model the burst error processes at the output of a Viterbi decoder. Numerical results of a comparison with an usual Fritchman model showed that the proposed model is superior in terms of reproducing the statistical properties of this processes. A significant reduction in the computational effort for parameter estimation was also obtained.
Keywords :
Viterbi decoding; hidden Markov models; maximum likelihood estimation; Fritchman model; Viterbi decoding; burst error sequences; burst-error channel; hidden Markov model; maximum likelihood estimation; parameter estimation; Computational modeling; Context modeling; Decoding; Hidden Markov models; Markov processes; Numerical models; Viterbi algorithm;
Conference_Titel :
Wireless Information Technology and Systems (ICWITS), 2010 IEEE International Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
978-1-4244-7091-4
DOI :
10.1109/ICWITS.2010.5611853
