Spring Model Based Collaborative Indoor Position Estimation With Neighbor Mobile Devices

被引：27
作者：
Taniuchi, Daisuke [1 ]
Liu, Xiaopeng [1 ]
Nakai, Daisuke [1 ]
Maekawa, Takuya [1 ]
机构：
[1] Osaka Univ, Grad Sch Informat Sci & Technol, Suita, Osaka 5650871, Japan
来源：
IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING | 2015年 / 9卷 / 02期
关键词：
Indoor positioning; received signal strength (RSS); fingerprinting; neighbor mobile devices; spring model; collaborative positioning; LOCATION; LOCALIZATION;
D O I：
10.1109/JSTSP.2014.2382478
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Nowadays, as the widespread of smart-phones that equipped with Wi-Fi modules, many researchers 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 a mobile device by referring to a fingerprinting algorithm. Based on the existing method, this paper addresses a high-precision collaborative indoor positioning method. We first estimate the position coordinates of neighbor mobile devices and the distances between the devices by using the Wi-Fi and Bluetooth sensors on them. Then, by making use of the position and distance information, we utilize the spring model to correct the positioning errors. In addition, we performed the evaluation experiment in a real indoor environment, and confirmed the feasibility of our proposed method.
引用
收藏
页码：268 / 277
页数：10
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