Localization method for device-to-device through user movement

Indoor positioning system is a key component for developing various location based services such as indoor navigation in large complex buildings (e.g., commercial center and hospital). Meanwhile, it is challenging to design a cost effective solution which is able to provide high accuracy. A new method, namely Two-Step Movement (2SM), was proposed in [1] to demonstrate how to build a positioning system which requires only one Reference Point (RP) by exploiting user movement. The method can offer good precision and minimize the number of RPs required so as to reduce system implementation cost. Built on 2SM, here we first improve the positioning performance through multi-sampling technique to combat measurement noise. Secondly, we propose the Generalized Two-Step Movement (G2SM) method for device-to-device (D2D) systems in which both the mobile terminal (MT) and RP can be mobile device. The mobile user's position can be derived analytically and given in simple closed-form expression. Its effectiveness in the presence of noise is shown in simulation results.

[1]  Ignas Niemegeers,et al.  A survey of indoor positioning systems for wireless personal networks , 2009, IEEE Communications Surveys & Tutorials.

[2]  Klaithem Al Nuaimi,et al.  A survey of indoor positioning systems and algorithms , 2011, 2011 International Conference on Innovations in Information Technology.

[3]  Chung Shue Chen,et al.  Exploiting user movement for position detection , 2015, 2015 12th Annual IEEE Consumer Communications and Networking Conference (CCNC).

[4]  Robert Harle,et al.  A Survey of Indoor Inertial Positioning Systems for Pedestrians , 2013, IEEE Communications Surveys & Tutorials.

[5]  Wonsun Bong,et al.  Indoor localization for Wi-Fi devices by cross-monitoring AP and weighted triangulation , 2011, 2011 IEEE Consumer Communications and Networking Conference (CCNC).

[6]  Hakima Chaouchi,et al.  Scene analysis indoor positioning enhancements , 2011, Ann. des Télécommunications.

[7]  Jing Liu,et al.  Survey of Wireless Indoor Positioning Techniques and Systems , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[8]  Tin Kam Ho,et al.  Probabilistic radio-frequency fingerprinting and localization on the run , 2014, Bell Labs Technical Journal.