A two phase hybrid RSS/AoA algorithm for indoor device localization using visible light

A two phase hybrid algorithm for estimating the location of a mobile node, which has the capability of measuring signal strength, azimuth, and elevation, in a smart space environment over the visible light channel is proposed. In contrast to conventional triangulation approaches which are performed in a simplified plane, the smart room architecture requires a non-planar solution due to the illumination requirement. Furthermore, conventional triangulation approaches can at times produce numerically ill-defined solutions, thereby prohibiting a notion of target location. Instead of solely relying on triangulation, the mobile node estimate their locations through a two phase approach in which they firstly exploit the signal strength observables with unique IDs to establish a coarse estimate, and secondly use the azimuth and elevation observables to establish a fine estimate. In many cases, the fine estimate will improve upon the coarse estimate; however when triangulation fails, the algorithm yield the coarse estimate rather than a localization failure. Since the environment model relies on the primary requirement of adequate illumination, the number of LED anchors and transmit power for communication functions are determined. Simulation results confirm the effectiveness of the hybrid two phase localization approach in a smart space indoor environment by having a median coarse phase accuracy of 34.88 cm and a fine phase median accuracy of 13.95 cm

[1]  Toshiya Tanaka,et al.  New Position Detection Method Using Image Sensor and Visible Light LEDs , 2009, 2009 Second International Conference on Machine Vision.

[2]  S. Haruyama,et al.  Photogrammetric system using visible light communication , 2008, 2008 34th Annual Conference of IEEE Industrial Electronics.

[3]  Michael B. Rahaim,et al.  CandlES: communication and lighting emulation software , 2010, WiNTECH '10.

[4]  Richard P. Martin,et al.  The limits of localization using signal strength: a comparative study , 2004, 2004 First Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks, 2004. IEEE SECON 2004..

[5]  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).

[6]  U. Bapst,et al.  Wireless in-house data communication via diffuse infrared radiation , 1979 .

[7]  Zeyu Wu.  Free space optical networking with visible light: A multi-hop multi-access solution , 2012 .

[8]  Masao Nakagawa,et al.  Fundamental analysis for visible-light communication system using LED lights , 2004, IEEE Transactions on Consumer Electronics.

[9]  Jun Chen,et al.  A Hybrid Framework for Radio Localization in Broadband Wireless Systems , 2010, 2010 IEEE Global Telecommunications Conference GLOBECOM 2010.

[10]  Hideo Makino,et al.  Research of Practical Indoor Guidance Platform Using Fluorescent Light Communication , 2008, IEICE Trans. Commun..

[11]  Kenichi Mase,et al.  Improved Indoor Location Estimation Using Fluorescent Light Communication System with a Nine-Channel Receiver , 2010, IEICE Trans. Commun..

[12]  Anna Maria Vegni,et al.  A hybrid Radio Frequency and broadcast Visible Light Communication system , 2011, 2011 IEEE GLOBECOM Workshops (GC Wkshps).

[13]  Frank V. Koss,et al.  Comprehensive study of three-object triangulation , 1993, Other Conferences.

[14]  P.N. Pathirana,et al.  Bearing-Only Localization using Geometrically Constrained Optimization , 2009, IEEE Transactions on Aerospace and Electronic Systems.

[15]  Edward A. Lee,et al.  Simulation of Multipath Impulse Response for Indoor Wireless Optical Channels , 1993, IEEE J. Sel. Areas Commun..

[16]  Masao Nakagawa,et al.  A Switching Estimated Receiver Position Scheme For Visible Light Based Indoor Positioning System , 2009, 2009 4th International Symposium on Wireless Pervasive Computing.

[17]  S. Haruyama,et al.  High-accuracy positioning system using visible LED lights and image sensor , 2008, 2008 IEEE Radio and Wireless Symposium.

[18]  Jiyun Shen,et al.  Direction estimation for cellular enhanced cell-ID positioning using multiple sector observations , 2010, 2010 International Conference on Indoor Positioning and Indoor Navigation.