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Journal Article Environmental-Adaptive RSSI-Based Indoor Localization
Cited 145 time in scopus Share share facebook twitter linkedin kakaostory
Authors
Hyo Sung Ahn, Won Pil Yu
Issue Date
2009-10
Citation
IEEE Transactions on Automation Science and Engineering, v.6, no.4, pp.626-633
ISSN
1545-5955
Publisher
IEEE
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.1109/TASE.2008.2009126
Abstract
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. © 2006 IEEE.
KSP Keywords
Indoor localization, Indoor office, Location-based service(LBS), Novel method, Office environment, Radio Signal, Received Signal Strength(RSS), Reference Node(RN), Signal Attenuation, Signal Propagation, Strength index