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Localization with orientation using RSSI measurements: RF map based approach
conference contribution
posted on 2007-01-01, 00:00 authored by Bernard RolfeBernard Rolfe, Samitha Ekanayake, Pubudu PathiranaPubudu Pathirana, M PalaniswamiLocalization 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.
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Event
International Conference Intelligent Sensors, Sensor Networks and Information Processing (3rd: 2007: Melbourne, Vic.)Pagination
311 - 316Publisher
Institute of Electrical and Electronics Engineers (IEEE)Location
Melbourne, AustraliaPlace of publication
Piscataway, N.J.Start date
2007-12-03End date
2007-12-06ISBN-13
9781424415021ISBN-10
1424415020Language
engPublication classification
E1 Full written paper - refereedCopyright notice
2007, IEEETitle of proceedings
ISSNIP 2007 Third International Conference on Intelligent Sensors, Sensor Networks and Information ProcessingUsage metrics
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