Localization of mobile transmitters by means of linear state estimation using RSS measurements Pathirana, Pubudu N., Bishop, Adrian N. and Savkin, Andrey V. 2008, Localization of mobile transmitters by means of linear state estimation using RSS measurements, in ICARCV 2008 : 10th International Conference on Control, Automation, Robotics & Vision, IEEE, Piscataway, N.J., pp. 210-213, doi: 10.1109/ICARCV.2008.4795519. Attached Files Name Description MIMEType Size Downloads Title Localization of mobile transmitters by means of linear state estimation using RSS measurements Author(s) Pathirana, Pubudu N. orcid.org/0000-0001-8014-7798 Bishop, Adrian N. Savkin, Andrey V. Conference name IEEE International Conference on Control, Automation, Robotics & Vision (10th : 2008 : Hanoi, Vietnam) Conference location Hanoi, Vietnam Conference dates 17-20 December 2008 Title of proceedings ICARCV 2008 : 10th International Conference on Control, Automation, Robotics & Vision Editor(s) [Unknown] Publication date 2008 Conference series International Conference on Control, Automation, Robotics and Vision Start page 210 End page 213 Total pages 4 Publisher IEEE Place of publication Piscataway, N.J. Keyword(s) linear filtering kalman filter recieved signal strength (RSS) RSS-based localization target tracking Summary This paper investigates the problem of estimating the location and velocity of a mobile agent using the received signal strength (RSS) measurements. Typical power measurements are inherently nonlinear and in this approach we derive a linear measurement scheme using an analytical measurement conversion technique which can readily be used with RSS measuring sensors. Power measurements are hence used in our robust version of a linear Kalman filter to estimate the dynamic parameters of the moving transmitter. ISBN 9781424422876 Language eng DOI 10.1109/ICARCV.2008.4795519 Field of Research 080503 Networking and Communications Socio Economic Objective 861799 Communication Equipment not elsewhere classified HERDC Research category E1 Full written paper - refereed Copyright notice ©2008, IEEE Persistent URL http://hdl.handle.net/10536/DRO/DU:30018232 Document type: Conference Paper Collection: School of Engineering and Information Technology Related Links Link Description Connect to published version (restricted access) 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. Versions Version Filter Type Fri, 14 Aug 2009, 14:06:18 EST Thu, 10 Dec 2009, 08:28:17 EST Tue, 15 Jun 2010, 13:42:39 EST Tue, 15 Jun 2010, 13:43:33 EST Fri, 16 Mar 2012, 17:06:41 EST Tue, 06 Sep 2016, 12:58:16 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 2 times in Scopus Search Google Scholar Access Statistics: 561 Abstract Views, 1 File Downloads  -  Detailed Statistics Created: Fri, 14 Aug 2009, 14:06:17 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.