首页|Spring Model based Collaborative Indoor Position Estimation with Neighbor Mobile Terminals
Spring Model based Collaborative Indoor Position Estimation with Neighbor Mobile Terminals
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NSTL
Nowadays, as the widespread of smart-phones that equipped with Wi-Fi modules, many researches have studied Wi-Fi based indoor positioning techniques. The existing method makes use of the Wi-Fi received signal strength (RSS) information that collected from several places indoors in advance to estimate the position of mobile device by referring to a fingerprinting algorithm. Base on the existing method above, this paper addresses a high-precision indoor positioning method by coordinating the neighbor mobile terminals, we estimate the position coordinates and distance information of the mobile terminals by using the Wi-Fi and Bluetooth sensors on them. Then, referred to these position and distance information, we utilize the spring model to adjust the estimated positions. In addition, we also performed the evaluation experiment in the real indoor environment, and the feasibility of our proposed method was well proved.
Indoor PositioningRSSFingerprintingNeighbor mobile terminalSpring modelCollaborative positioning
Liu Xiaopeng、Maekawa Takuya
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Osaka University Graduate School of Information Science and Technology
NETL
NSTL
