A visible light communication indoor localization algorithm in rotated environments

In this paper, a visible light communication (VLC) based localization algorithm is proposed for mobile device localization in indoor environments. The polar angle and azimuth angle measurements are first to estimate the projection position of light emitting diodes (LEDs) and then obtain the angle deviation estimation using the least square (LS) approach. The projection points in the reference coordination system are calculated in turn by taking advantage of the rotation transformation equation. The final position of mobile device can be estimated by the axes translation equation. Since an angle deviation preprocessing is proposed to solve the imprecise mobile device orientation without any additional hardware, it is more suitable for the practical application. Extensive simulation results demonstrate that the proposed approach can perform well under different scenarios.

[1]  Sung-Yoon Jung,et al.  Location awareness using Angle-of-arrival based circular-PD-array for visible light communication , 2012, 2012 18th Asia-Pacific Conference on Communications (APCC).

[2]  Jun Yan,et al.  A passive location system for single frequency networks using digital terrestrial TV signals , 2011, Eur. Trans. Telecommun..

[3]  Muhammad Adeel Pasha,et al.  Highly accurate 3D wireless indoor positioning system using white LED lights , 2014 .

[4]  Kegen Yu,et al.  Ground-Based Wireless Positioning , 2009 .

[5]  Stefan Saroiu,et al.  CILoS: a CDMA indoor localization system , 2008, UbiComp.

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

[7]  G.B. Giannakis,et al.  Localization via ultra-wideband radios: a look at positioning aspects for future sensor networks , 2005, IEEE Signal Processing Magazine.

[8]  S. Randel,et al.  Broadband Information Broadcasting Using LED-Based Interior Lighting , 2008, Journal of Lightwave Technology.

[9]  Sang-Kook Han,et al.  Indoor Location Estimation Based on LED Visible Light Communication Using Multiple Optical Receivers , 2013, IEEE Communications Letters.

[10]  Myungsik Yoo,et al.  TDOA-based indoor positioning using visible light , 2014, Photonic Network Communications.

[11]  Ian Sharp,et al.  Sensor-based dead-reckoning for indoor positioning , 2014, Phys. Commun..

[12]  J. J. Caffery,et al.  A new approach to the geometry of TOA location , 2000, Vehicular Technology Conference Fall 2000. IEEE VTS Fall VTC2000. 52nd Vehicular Technology Conference (Cat. No.00CH37152).