Title :
Characterization of bursty channels using Markov models
Author :
Srinivas, S. ; Shanmugan, K.S.
Author_Institution :
Dept. of Electr. & Comput. Eng., Kansas Univ., Lawrence, KS, USA
Abstract :
The modeling of error burst characteristics of communication channels is considered. Two techniques, hidden Markov modeling (HMM) and Fritchman characterization, are discussed. While the Fritchman method yields a model faster, it is assumed that the error burst (and error free run) lengths are statistically independent. The HMM algorithm is computationally intensive. A modified HMM algorithm is presented. It is computationally very efficient and better suited for channel models requiring more than one bad state
Keywords :
computational complexity; hidden Markov models; telecommunication channels; Fritchman characterization; communication channels; computational efficiency; error burst characteristics; error free run; hidden Markov modeling; modified HMM algorithm; Communication channels; Computer errors; Frequency; Hidden Markov models; Land mobile radio; Mobile communication; Robustness; Speech recognition; State-space methods; Wireless communication;
Conference_Titel :
Communications, 1993. ICC '93 Geneva. Technical Program, Conference Record, IEEE International Conference on
Conference_Location :
Geneva
Print_ISBN :
0-7803-0950-2
DOI :
10.1109/ICC.1993.397557