DocumentCode
1851922
Title
Recursive state estimation via limited capacity communication channels
Author
Dokuchaev, Nikolai G. ; Savkin, Andrey V.
Author_Institution
Dept. of Electr. & Electron. Eng., Western Australia Univ., Nedlands, WA, Australia
Volume
5
fYear
1999
fDate
1999
Firstpage
4929
Abstract
This paper considers a state estimation problem involving bit-rate communication capacity constraints for a discrete-time partially observed system. The observation must be coded and transmitted via a digital communication channel with a limited capacity. A recursive coder-estimator is proposed and investigated. An upper bound for the average estimation error is derived, and convergence properties are analyzed
Keywords
convergence; digital communication; discrete time systems; linear systems; recursive estimation; state estimation; telecommunication channels; communication capacity constraints; convergence; digital communication channel; discrete-time system; linear systems; partially observed system; recursive coder-estimator; recursive state estimation; upper bound; Channel capacity; Communication channels; Communication system control; Convergence; Digital communication; Estimation error; Kalman filters; Sensor systems; State estimation; Upper bound;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1999. Proceedings of the 38th IEEE Conference on
Conference_Location
Phoenix, AZ
ISSN
0191-2216
Print_ISBN
0-7803-5250-5
Type
conf
DOI
10.1109/CDC.1999.833326
Filename
833326
Link To Document