Optimal linear data fusion for systems with missing measurements Mohamed, Shady M.K. and Nahavandi, Saeid 2009, Optimal linear data fusion for systems with missing measurements, in ICONS 2009 : Proceedings of the IFAC Intelligent Control and Signal Processing 2009 international conference, International Federation of Automatic Control, Laxenburg, Austria, pp. 1-4. Attached Files Name Description MIMEType Size Downloads mohamed-optimallinear-2009.pdf Published version application/pdf 272.12KB 52 Title Optimal linear data fusion for systems with missing measurements Author(s) Mohamed, Shady M.K. orcid.org/0000-0002-8851-1635 Nahavandi, Saeid orcid.org/0000-0002-0360-5270 Conference name IFAC Intelligent Control Systems and Signal Processing International Conference (2nd : 2009 : Istanbul, Turkey) Conference location Istanbul, Turkey Conference dates 21 - 23 Sep. 2009 Title of proceedings ICONS 2009 : Proceedings of the IFAC Intelligent Control and Signal Processing 2009 international conference Editor(s) [Unknown] Publication date 2009 Conference series Intelligent Control and Signal Processing International Conference Start page 1 End page 4 Total pages 4 Publisher International Federation of Automatic Control Place of publication Laxenburg, Austria Keyword(s) data fusion kalman filter generalised inverse. Summary In this paper, we provide the optimal data fusion filter for linear systems suffering from possible missing measurements. The noise covariance in the observation process is allowed to be singular which requires the use of generalized inverse. The data fusion process is made on the raw data provided by two sensors  observing the same entity. Each of the sensors is losing the measurements in its own data loss rate. The data fusion filter is provided in a recursive form for ease of implementation in real-world applications. Language eng Field of Research 090699 Electrical and Electronic Engineering not elsewhere classified Socio Economic Objective 970109 Expanding Knowledge in Engineering HERDC Research category E1 Full written paper - refereed Copyright notice ©2009, International Federation of Automatic Control Free to Read? Yes Persistent URL http://hdl.handle.net/10536/DRO/DU:30025589 Document type: Conference Paper Collections: Centre for Intelligent Systems Research Open Access Collection Related Links Link Description Connect to conference website Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. 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. Versions Version Filter Type Thu, 25 Mar 2010, 13:06:05 EST Thu, 25 Mar 2010, 13:06:41 EST Fri, 26 Mar 2010, 10:52:52 EST Tue, 20 Apr 2010, 10:12:32 EST Tue, 20 Apr 2010, 16:38:10 EST Tue, 20 Apr 2010, 16:39:55 EST Wed, 21 Apr 2010, 12:49:50 EST Thu, 10 Jun 2010, 21:27:58 EST Mon, 14 Jun 2010, 08:27:24 EST Mon, 14 Jun 2010, 12:51:17 EST Mon, 14 Jun 2010, 12:53:25 EST Wed, 08 Sep 2010, 11:25:47 EST Fri, 16 Mar 2012, 17:54:12 EST Mon, 17 Feb 2014, 12:43:37 EST Wed, 02 Jul 2014, 10:32:45 EST Mon, 21 Jul 2014, 10:10:28 EST Tue, 06 Sep 2016, 14:56:31 EST Sat, 17 Jun 2017, 03:02:22 EST Tue, 05 Dec 2017, 09:13:40 EST Fri, 07 Sep 2018, 14:52:44 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 764 Abstract Views, 74 File Downloads  -  Detailed Statistics Created: Thu, 25 Mar 2010, 13:06:04 EST by Shady Mohamed

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.