Linear Estimation in Interconnected Sensor Systems with Information Constraints
Reinhardt, Marc
Linear Estimation in Interconnected Sensor Systems with Information Constraints - KIT Scientific Publishing 2015 - 1 electronic resource (XVII, 227 p. p.)
Open Access
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.
Creative Commons
English
KSP/1000045577 9783731503422
10.5445/KSP/1000045577 doi
Schätztheorie Kalman Filter estimation theory Sensornetze Verteilte SystemsData fusion distributed systems Datenfusion sensor networks Kalman filtering
Linear Estimation in Interconnected Sensor Systems with Information Constraints - KIT Scientific Publishing 2015 - 1 electronic resource (XVII, 227 p. p.)
Open Access
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.
Creative Commons
English
KSP/1000045577 9783731503422
10.5445/KSP/1000045577 doi
Schätztheorie Kalman Filter estimation theory Sensornetze Verteilte SystemsData fusion distributed systems Datenfusion sensor networks Kalman filtering