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Environmental-Adaptive RSSI-Based Indoor Localization

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2 Author(s)
Hyo-Sung Ahn ; Dept. of Mechatron., Gwangju Inst. of Sci. & Technol. (GIST), Gwangju, South Korea ; Wonpil Yu

This paper addresses a novel method for localizing a stationary object in an indoor office environment. The proposed method utilizes the received-signal-strength index (RSSI) of radio signals radiating from fixed reference nodes and reference tags placed at known positions to generate a precise signal propagation model. Signal attenuation parameters are updated online according to environmental variation; thus, the proposed method has environmental-adaptation capabilities. Subsequent experiments were conducted to demonstrate the superiority of the proposed technique over a commercial location-based service (LBS) chipset.

Published in:

IEEE Transactions on Automation Science and Engineering  (Volume:6 ,  Issue: 4 )