Multi-Band Received Signal Strength Fingerprinting Based Indoor Location System
スポンサーリンク
概要
- 論文の詳細を見る
This paper proposes a new multi-band received signal strength (MRSS) fingerprinting based indoor location system, which employs the frequency diversity on the conventional single-band received signal strength (RSS) fingerprinting based indoor location system. In the proposed system, the impacts of frequency diversity on the enhancements of positioning accuracy are analyzed. Effectiveness of the proposed system is proved by experimental approach, which was conducted in non line-of-sight (NLOS) environment under the area of 103m2 at Yagami Campus, Keio University. WLAN access points, which simultaneously transmit dual-band signal of 2.4 and 5.2GHz, are utilized as transmitters. Likewise, a dual-band WLAN receiver is utilized as a receiver. Signal distances calculated by both Manhattan and Euclidean were classified by K-Nearest Neighbor (KNN) classifier to illustrate the performance of the proposed system. The results confirmed that Frequency diversity attributions of multi-band signal provide accuracy improvement over 50% of the conventional single-band.
- 2010-08-01
著者
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SERTTHIN Chinnapat
Keio University
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OHTSUKI Tomoaki
Keio University
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NAKAGAWA Masao
Keio University
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NAKAGAWA Masao
Department of Information and Computer Science, Keio University
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Ohtsuki T
Faculty Of Science And Technology Keio University
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Fujii Takeo
Advanced Wireless Communication Research Center The University Of Electro-communications Japan
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Fujii Takeo
Advance Wireless Communication Research Center (awcc) University Of Electro-communications
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Nakagawa Masao
Keio Univ. Yokohama‐shi Jpn
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FUJII Takeo
The University of Electro-Communications
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Sertthin Chinnapat
Department Of Information And Computer Science Faculty Of Science And Technology Keio University
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Nakagawa Masao
Department Of Information And Computer Science Keio University
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Fujii Takeo
The University Of Electromagnetic Communication
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Fujii Takeo
Univ. Electro‐communications Chofu‐shi Jpn
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Ohtsuki Tomoaki
Keio Univ.
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