5th International ICST Conference on Communications and Networking in China

Research Article

In-door wireless positioning technology

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  • @INPROCEEDINGS{10.4108/chinacom.2010.117,
        author={Shiann-Tsong Sheu and Meng-Shin Li and Yi-Hsueh Tsai and Po-Min Lin},
        title={In-door wireless positioning technology},
        proceedings={5th International ICST Conference on Communications and Networking in China},
        publisher={IEEE},
        proceedings_a={CHINACOM},
        year={2011},
        month={1},
        keywords={Fingerprint Indoor Positioning Location Estimation LoS NLoS Signal Stregth Signature Wi-Fi},
        doi={10.4108/chinacom.2010.117}
    }
    
  • Shiann-Tsong Sheu
    Meng-Shin Li
    Yi-Hsueh Tsai
    Po-Min Lin
    Year: 2011
    In-door wireless positioning technology
    CHINACOM
    ICST
    DOI: 10.4108/chinacom.2010.117
Shiann-Tsong Sheu1,*, Meng-Shin Li1,*, Yi-Hsueh Tsai2,*, Po-Min Lin1,*
  • 1: Dept. Communication Engineering, National Central University, Taoyuan, Taiwan
  • 2: Dept. Emerging Smart Technology Institute, Institute for Information Industry, Taipei, Taiwan
*Contact email: stsheu@ce.ncu.edu.tw, 975203034@Cc.ncu.edu.tw, lucas@iii.org.tw, 985203050@cc.ncu.edu.tw

Abstract

With the flourishing development and improvement of technology, the satellite-based location technique has become the well-known navigation system, the accuracy of satellite-based positioning result significantly degrades when the receiver is located in the non-line-of-sight urban area or inside the building. To overcome the problem, the widely deployed IEEE 802.11 wireless local area network (WLAN) is naturally considered as an alternative positioning solution. Unfortunately, the WLAN-based positioning technologies usually cannot derive accurate result. As a solution, this paper proposes a long-term indoor positioning solution to obtain more precise location for the applications such as invaluable equipment property monitoring, fixed wireless sensing and so on. Based on a large amount of measurement results, the proposed methodology is able to solve the issue of time-variant signal strengths. Simulation results show that the proposed method is able to control the accuracy of tens of centimeters.