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Linear Estimation in Interconnected Sensor Systems with Information Constraints

A ubiquitous challenge in many technical applications is to estimate an unknown state by means of data that stems from several, often heterogeneous sensor sources. In this book, information is interpreted stochastically, and techniques for the distributed processing of data are derived that minimize...

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Bibliographic Details
Main Author: Reinhardt, Marc (auth)
Format: Electronic Book Chapter
Language:English
Published: KIT Scientific Publishing 2015
Series:Karlsruhe Series on Intelligent Sensor-Actuator-Systems / Karlsruher Institut für Technologie, Intelligent Sensor-Actuator-Systems Laboratory
Subjects:
Schätztheorie
Kalman Filter
estimation theory
Sensornetze
Verteilte SystemsData fusion
distributed systems
Datenfusion
sensor networks
Kalman filtering
Online Access:DOAB: download the publication
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Summary:A ubiquitous challenge in many technical applications is to estimate an unknown state by means of data that stems from several, often heterogeneous sensor sources. In this book, information is interpreted stochastically, and techniques for the distributed processing of data are derived that minimize the error of estimates about the unknown state. Methods for the reconstruction of dependencies are proposed and novel approaches for the distributed processing of noisy data are developed.
Physical Description:1 electronic resource (XVII, 227 p. p.)
ISBN:KSP/1000045577
9783731503422
Access:Open Access

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