Hidden Markov model filtering over packet switched networks

Author

Evans, Jamie S. ; Krishnamurthy, Vikram

Author_Institution

Dept. of Electr. & Electron. Eng., Melbourne Univ., Parkville, Vic., Australia

Volume

3

fYear

1998

fDate

7-11 Jun 1998

Firstpage

1779

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

Keywords

delays; filtering theory; hidden Markov models; packet switching; probability; state estimation; telecommunication networks; augmented state HMM; conditional state probabilities; connectionless communications network; delay process; delayed observations; discrete-time hidden Markov model; distributed sensors; finite state Markov chain; hidden Markov model filtering; measurement transmission; packet switched networks; random time; state estimation algorithms; Biomedical measurements; Communication switching; Delay effects; Delay estimation; Filtering; Filters; Hidden Markov models; Packet switching; Sensor systems; State estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications, 1998. ICC 98. Conference Record. 1998 IEEE International Conference on

Conference_Location

Atlanta, GA

Print_ISBN

0-7803-4788-9

Type

conf

DOI

10.1109/ICC.1998.683135

Filename

683135