Inquiry-Based Bluetooth Indoor Positioning via RSSI Probability Distributions

Authors:
Ling Pei;Ruizhi Chen;Jingbin Liu;Tomi Tenhunen;Heidi Kuusniemi;Yuwei Chen
Affiliations:
-;-;-;-;-;-
Venue:
SPACOMM '10 Proceedings of the 2010 Second International Conference on Advances in Satellite and Space Communications
Year:
2010

Citing 0
Cited 1

Bluetooth aided mobile phone localization: A nonlinear neural circuit approach

ACM Transactions on Embedded Computing Systems (TECS)

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Abstract

This paper presents an inquiry-based Bluetooth indoor positioning solution via RSSI probability distributions. A practical system architecture is designed after the Bluetooth protocol and profiles are studied. Weibull function is applied for approximating the Bluetooth signal strength distribution in the data training phase. The Histogram Maximum Likelihood position estimation based on Bayesian theory is utilized in the location determination phase. The results show the possibility of indoor positioning through inquiring the Bluetooth-enabled handsets in range. Weibull distribution improves the performance of fingerprinting. The practicality of the system architecture is also proved by the outcome of a test campaign.