Robust multi-sensor data fusion

Mohamed, Shady Mohamed Korany. 2009, Robust multi-sensor data fusion, Ph.D. thesis, Institute for Technology Research and Innovation and Centre for Intelligent Systems Research, Deakin University.

Title Robust multi-sensor data fusion
Author Mohamed, Shady Mohamed Korany.
Institution Deakin University
School Institute for Technology Research and Innovation
Centre for Intelligent Systems Research
Degree name Ph.D.
Date submitted 2009
Keyword(s) Multisensor data fusion
Sensor networks
Nonlinear systems
Linear systems
Kalman filtering
Summary This research obtains the optimal estimation and data fusion for linear and nonlinear systems suffering from uncertain observations (missing measurements). The noise from the different data sources are considered to correlated. The derivation of the robust Kalman filter for systems subject to aditional uncertainties in the modelling parameters is presented.
Language eng
Description of original xv, 166 leaves ; 30 cm.
Dewey Decimal Classification 681.2
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