Active RFID Indoor Positioning and Navigation Based on Probability Method

H. Tang, D. Kim

Abstract:	Although RFID-based indoor positioning and navigation systems have been developed by many researchers over the world, improving positioning and navigation accuracy to a higher level (e.g., better than 1 m) is still a challenging task. Conventionally, the received signal strength is converted to a tag-reader range and the location is determined using trilateration. However, in a typical indoor environment, it is difficult to model precisely the relationship of received signal strength and a tag-reader range due to multipath. In this paper, we proposed a probabilistic localization approach to handle uncertainties and errors in the received signal strength. A signal-strength-to-range observation model was built based on the probabilistic characteristics of sample calibration data. To deal with nonlinear, non-Gaussian and non-stationary problems in indoor positioning and navigation, a redistributed particle filter was developed. Although our research and development is still in an early stage, we could attain promising results by improving the observation model and sub-optimal estimator used for the particle filter.
Published in:	Proceedings of the 23rd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2010) September 21 - 24, 2010 Oregon Convention Center, Portland, Oregon Portland, OR
Pages:	3388 - 3397
Cite this article:	Tang, H., Kim, D., "Active RFID Indoor Positioning and Navigation Based on Probability Method," Proceedings of the 23rd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2010), Portland, OR, September 2010, pp. 3388-3397.
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