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Optimized Base Station Location Planning for Indoor Positioning in Visible Light Communication System

  • Zichun Le , Xianyu Zeng and Minglei Fu EMAIL logo
Published/Copyright: May 12, 2017
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Abstract

Visible light communication (VLC) is an emerging optical communication technology, and indoor positioning of moving target devices is one of most important issues in the VLC system. In this study, we focused on LED base station location planning to improve the accuracy of the positioning method based on the received signal strength intensity (RSS) and the Kalman filter (KF). We developed a new base station location-planning scheme called equilateral triangle distribution. We proved theoretically that the equilateral triangle distribution scheme reduced the positioning error area when compared with the rectangular distribution scheme. The simulation results showed that the measuring error of the equilateral triangle distribution method using KF was less than 5 cm, even when the receiver was located at the boundary of the room. Our method verified that the VLC indoor positioning accuracy can be improved when LED base stations are distributed according to our equilateral triangle distribution scheme.

Funding statement: This work was financially supported by the Natural Science Foundation of China (61172081) and the Natural Science Foundation of Zhejiang Province (LZ13F010001).

References

1. Rajagopal S, Roberts RD, Lim S-K. IEEE 802.15.7 Visible light communication: Modulation schemes and dimming support. IEEE Commun Mag 2012;50:72–82. DOI:10.1109/MCOM.2012.6163585.Search in Google Scholar

2. Komine T, Nakagawa M. Fundamental analysis for visible-light communication system using LED lights. IEEE Trans Consum Electron 2004;50:100–107. DOI:10.1109/TCE.2004.1277847.Search in Google Scholar

3. Jovicic A, Li J, Richardson T. Visible light communication: Opportunities, challenges and the path to market. IEEE Commun Mag 2013;51:26–32. DOI:10.1109/MCOM.2013.6685754.Search in Google Scholar

4. Yoshino M, Haruyama S, Nakagawa M. High accuracy positioning system using visible LED lights and image sensor. In: IEEE Radio Wirel Symp RWS, Orlando, FL, United States, 2008:439–442. DOI:10.1109/RWS.2008.4463523.Search in Google Scholar

5. Elgala H, Mesleh R, Haas H. Indoor broadcasting via white LEDs and OFDM. IEEE Trans Consum Electron 2009;55:1127–1134. DOI:10.1109/TCE.2009.5277966.Search in Google Scholar

6. Keskin MF, Gezici S. Comparative theoretical analysis of distance estimation in visible light positioning systems. J Lightwave Technol 2016;34:854–865. DOI:10.1109/JLT.2015.2504130.Search in Google Scholar

7. Nah JHY, Parthiban R, Jaward MH. Visible light communications localization using TDOA-based coherent heterodyne detection. In: Int. Conf. Photonics, ICP, Melaka, Malaysia, 2013:247–249. DOI:10.1109/ICP.2013.6687128.10.1109/ICP.2013.6687128Search in Google Scholar

8. Marin-Garcia I, Chavez-Burbano P, Muñoz-Arcentles A, Calero-Bravo V, Perez-Jimenez R. Indoor location technique based on visible light communications and ultrasound emitters. In: IEEE Int. Conf. Consum. Electron., ICCE. Las Vegas, NV, 2015:297–298. DOI:10.1109/ICCE.2015.7066421.10.1109/ICCE.2015.7066421Search in Google Scholar

9. Jung S-Y, Hann S, Park C-S. TDOA-based optical wireless indoor localization using LED ceiling lamps. IEEE Trans Consum Electron 2011;57:1592–1597. DOI:10.1109/TCE.2011.6131130.Search in Google Scholar

10. Alphan S, Eroglu YS, Ismail. G Accuracy of AOA-based and RSS-based 3D localization for visible light communications. In: IEEE Veh. Technol. Conf., VTC – Proc. Boston, MA, 2015:1–5. DOI:10.1109/VTCFall.2015.7390827.10.1109/VTCFall.2015.7390827Search in Google Scholar

11. See YC, Welson L, Yap SC, Leong CF. Preliminary investigation of indoor positioning system using Visible Light Communication. In: 2015 IEEE International Symposium on Robotics and Intelligent Sensors, IRIS, Langkawi, Malaysia, 2015:226–9. DOI: 10.1109/IRIS.2015.7451616.Search in Google Scholar

12. Li D, Gong C, Xu. Z A RSSI-based indoor visible light positioning approach. Int. Symp. Commun. Syst., Networks Digit. Signal Process., CSNDSP. Prague, Czech republic, 2016:1–6. DOI:10.1109/CSNDSP.2016.757400310.1109/CSNDSP.2016.7574003Search in Google Scholar

13. Janicka J, Rapinski J. Application of RSSI based navigation in indoor positioning. BGC Geomatics, Gdansk, Poland, 2016:45–50 DOI:10.1109/BGC.Geomatics.2016.17.10.1109/BGC.Geomatics.2016.17Search in Google Scholar

14. Praveen K, Reddy L, Varma S Distance measurement and error estimation scheme for RSSI based localization in wireless sensor networks. In: Int. Conf. Wirel. Commun. Sens. Netw. WCSN 2009;80–83. DOI:10.1109/WCSN.2009.5434802.10.1109/WCSN.2009.5434802Search in Google Scholar

15. Wang TQ, Sekercioglu YA, Neild A, Armstrong J. Position accuracy of time-of-arrival based ranging using visible light with application in indoor localization systems. J Lightwave Technol 2013;31:3302–3308. DOI:10.1109/JLT.2013.2281592.Search in Google Scholar

16. Li Q, Li W, Sun W, Li. J. Fingerprint and assistant nodes based Wi-Fi localization in complex indoor environment. IEEE Access 2016;4:2993–3004. DOI:10.1109/ACCESS.2016.2579879.Search in Google Scholar

17. Huang C-H, Lee L-H, Ho CC, Wu L-L, Lai Z-H. Real-time RFID indoor positioning system based on Kalman-filter drift removal and Heron-bilateration location estimation. IEEE Trans Instrum Meas 2015;64:728–739. DOI:10.1109/TIM.2014.2347691.Search in Google Scholar

18. Rahaim M, Prince GB, Little TDC. State estimation and motion tracking for spatially diverse VLC networks. GC Wkshps, 2012:1249–1253. DOI:10.1109/GLOCOMW.2012.6477760.10.1109/GLOCOMW.2012.6477760Search in Google Scholar

Received: 2017-01-04
Accepted: 2017-02-14
Published Online: 2017-05-12
Published in Print: 2018-10-25

© 2018 Walter de Gruyter GmbH, Berlin/Boston

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