Robust multi-sensor data fusion
thesis
posted on 2009-01-01, 00:00 authored by Shady Mohamed Korany. MohamedThis 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.
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xv, 166 leaves ; 30 cm.Material type
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Thesis (Ph.D.)--Deakin University, Victoria, 2009.Degree name
Ph.D.Faculty
Institute for Technology Research and InnovationUsage metrics
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