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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 Palaniswami
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.

History

Event

International Conference Intelligent Sensors, Sensor Networks and Information Processing (3rd: 2007: Melbourne, Vic.)

Pagination

311 - 316

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Location

Melbourne, Australia

Place of publication

Piscataway, N.J.

Start date

2007-12-03

End date

2007-12-06

ISBN-13

9781424415021

ISBN-10

1424415020

Language

eng

Publication classification

E1 Full written paper - refereed

Copyright notice

2007, IEEE

Title of proceedings

ISSNIP 2007 Third International Conference on Intelligent Sensors, Sensor Networks and Information Processing

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