Deakin home > Deakin University Library > Deakin Research Online > Localization with orientation using RSSI measurements: RF map based approach

Localization with orientation using RSSI measurements: RF map based approach

Rolfe, Bernard, Ekanayake, Samitha, Pathirana, Pubudu and Palaniswami, Marimuththu 2007, Localization with orientation using RSSI measurements: RF map based approach, in ISSNIP 2007 Third International Conference on Intelligent Sensors, Sensor Networks and Information Processing, Institute of Electrical and Electronics Engineers (IEEE), Piscataway, N.J., pp. 311-316.

Document type: Conference Paper
Collection: School of Engineering and Information Technology
Attached Files (Some files may be inaccessible until you login with your Deakin Research Online credentials)
Name Description MIMEType Size Downloads

Title Localization with orientation using RSSI measurements: RF map based approach
Author(s) Rolfe, Bernard
Ekanayake, Samitha
Pathirana, Pubudu
Palaniswami, Marimuththu
Conference name International Conference Intelligent Sensors, Sensor Networks and Information Processing (3rd: 2007: Melbourne, Vic.)
Conference location Melbourne, Australia
Conference dates 3-6 December 2007
Title of proceedings ISSNIP 2007 Third International Conference on Intelligent Sensors, Sensor Networks and Information Processing
Editor(s) [Unknown]
Publication date 2007
Conference series International Conference on Intelligent Sensors, Sensor Networks and Information Processing
Start page 311
End page 316
Publisher Institute of Electrical and Electronics Engineers (IEEE)
Place of publication Piscataway, N.J.
Keyword(s) adaptive estimation
indoor radio
radiofrequency identification
Summary Localization of RFIDs in the indoor environment will entail determining both the position and the orientation of the user. This paper develops estimator using RSSI measurements to predict the position and orientation of a transmitter in an indoor environment. The best estimator tried was an K-nearest neighbours model that gave an accuracy of approximately 83% for position prediction and 93% for orientation prediction. It was also found that the RSSI values change throughout the day, meaning that an adaptive estimator is necessary for localization.
ISBN 1424415020
9781424415021
Language eng
Field of Research 100599 Communications Technologies not elsewhere classified
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2007, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30008030
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in Deakin Research Online is owned by the author, with all rights reserved.
Versions
Version Filter Type
Access Statistics: 557 Abstract Views, 1 File Downloads  -  Detailed Statistics
Created: Mon, 29 Sep 2008, 09:03:42 EST