You are not logged in.

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
Persistent URL http://hdl.handle.net/10536/DRO/DU:30027414

Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 0 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 383 Abstract Views  -  Detailed Statistics
Created: Thu, 01 Apr 2010, 15:58:55 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.