Automatic signal strength map construction in indoor positioning system based on round trip time of flight measurements and inertial navigation

The accuracy of round trip time-of-flight indoor positioning system can be improved taking into account the measurements of received signal strength. This method requires prior knowledge about received signals strength statistics inside the building. In this paper we propose a method of automatic received signal strength map creation in time-of-flight based indoor positioning system with the help of odometry measurements. The proposed method is based on particle filter and uses distance and signal strength measurements together with the data from an embedded inertial measurement unit and the map of the building. The RSS coverage map consists on the set of discrete bins. When a particle visits a bin the RSS statistics in this bin is sequentially updated using Bayesian inference.

[1]  Tin Kam Ho,et al.  SignalSLAM: Simultaneous localization and mapping with mixed WiFi, Bluetooth, LTE and magnetic signals , 2013, International Conference on Indoor Positioning and Indoor Navigation.

[2]  Alexander Fedorov,et al.  RealTrac technology at the EvAAL-2013 competition , 2015, J. Ambient Intell. Smart Environ..

[3]  Roman Voronov,et al.  Combination of RSS localization and ToF ranging for increasing positioning accuracy indoors , 2011, 2011 11th International Conference on ITS Telecommunications.

[4]  Paramvir Bahl,et al.  RADAR: an in-building RF-based user location and tracking system , 2000, Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064).

[5]  Mohammed Khider,et al.  Simultaneous Localization and Mapping for pedestrians using distortions of the local magnetic field intensity in large indoor environments , 2013, International Conference on Indoor Positioning and Indoor Navigation.

[6]  Yunhao Liu,et al.  Locating in fingerprint space: wireless indoor localization with little human intervention , 2012, Mobicom '12.

[7]  Patrick Robertson,et al.  WiSLAM: Improving FootSLAM with WiFi , 2011, 2011 International Conference on Indoor Positioning and Indoor Navigation.

[8]  Axel Sikora,et al.  A localization system using inertial measurement units from wireless commercial hand-held devices , 2013, International Conference on Indoor Positioning and Indoor Navigation.

[9]  Neil J. Gordon,et al.  A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking , 2002, IEEE Trans. Signal Process..

[10]  Moustafa Youssef,et al.  The Horus WLAN location determination system , 2005, MobiSys '05.

[11]  M. Newman,et al.  Opportunistic radio SLAM for indoor navigation using smartphone sensors , 2012, Proceedings of the 2012 IEEE/ION Position, Location and Navigation Symposium.