NDLI: Order estimation of binary hidden Markov wireless channel models in Rayleigh fading

Content Provider	IEEE Xplore Digital Library
Author	Akbar, I.A. Tranter, W.H.
Copyright Year	2007
Description	Author affiliation: Mobile & Portable Radio Res. Group, Virginia Tech, Blacksburg, VA (Akbar, I.A.)
Abstract	The accurate modeling of error sequences that occur in wireless channels is necessary for a better understanding of network performance and for improving the design of communication system under study. Hidden Markov models are widely used for simulating such error traces produced by wireless channels. The primary advantage of using these models is rapid experimentation and prototyping. Although the parameter estimation of HMM has been studied extensively, its order estimation problem has been addressed only recently. Due to the lack of mathematical theory for HMM order estimation, we apply a simulation-based approach to study the order estimation of binary hidden Markov channel models. The order of a Markov process is defined as the minimum number of states required to model the data accurately. In HMMs, where the observation is probabilistic function of states, the order corresponds to the number of quantized state levels. To avoid local maxima, we run the Baum-Welch Algorithm (BWA) several times with different initial conditions (while keeping the number of states fixed), and use split-data log-likelihood to select the best model.
Starting Page	202
Ending Page	207
File Size	326441
Page Count	6
File Format	PDF
ISBN	1424410282
DOI	10.1109/SECON.2007.342885
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-03-22
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Hidden Markov models Rayleigh channels Parameter estimation Mathematical model Markov processes Communication systems Prototypes Binary sequences Estimation theory Autocorrelation
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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