Hidden Markov model filtering over packet switched networks

TitleHidden Markov model filtering over packet switched networks
Publication TypeConference Paper
Year of Publication1998
AuthorsEvans, J. S., and V. Krishnamurthy
Conference NameCommunications, 1998. ICC 98. Conference Record.1998 IEEE International Conference on
Pagination1779 -1783 vol.3
Date Publishedjun.
Keywordsaugmented state HMM, conditional state probabilities, connectionless communications network, delay process, delayed observations, delays, discrete-time hidden Markov model, distributed sensors, filtering theory, finite state Markov chain, hidden Markov model filtering, hidden Markov models, measurement transmission, packet switched networks, packet switching, probability, random time, state estimation, state estimation algorithms, telecommunication networks
Abstract

This paper considers state estimation for a discrete-time hidden Markov model (HMM) when the observations are delayed by a random time. The delay process is itself modelled as a finite state Markov chain which allows an augmented state HMM to model the overall system. State estimation algorithms for the resultant HMM are then presented. The motivation for the model stems from the situation when distributed sensors transmit measurement over a connectionless packet switched communications network

URLhttp://dx.doi.org/10.1109/ICC.1998.683135
DOI10.1109/ICC.1998.683135

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