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Robust multi-sensor data fusion

thesis
posted on 2009-01-01, 00:00 authored by Shady Mohamed Korany. Mohamed
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.

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xv, 166 leaves ; 30 cm.

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thesis

Resource type

thesis

Language

eng

Notes

Thesis (Ph.D.)--Deakin University, Victoria, 2009.

Degree name

Ph.D.

Faculty

Institute for Technology Research and Innovation

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