Paul Crane
ABSTRACT
Research efforts into indoor localisation have focused on improving the accuracy of location estimates. In this paper, we propose a novel approach called SIB that uses RSSI values from low-power transmissions to exclude the noisy measurements from usual high-power RSSI measurements. SIB can effectively reduce the effect of noise in fingerprint-based localisation according to our analysis on the function of power loss ratio to transmission distance. Our results, based on evaluation in a real-world environment with noisy data, show a decrease in the geometric error of 85% in our indoor localisation.
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Index Terms
- SIB: noise reduction in fingerprint-based indoor localisation using multiple transmission powers
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