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High-Speed Positioning and Automatic Updating Technique Using Wi-Fi and UWB in a Ship

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Abstract

Wi-Fi-based fingerprint indoor localization is widely used owing to its low cost and the rapid increase of its network, even though this method requires radio map creation and maintenance which accompany time-consuming and continuous monitoring. Considering these advantages and limitations and the fact that conditions in a ship are more likely to suffer from scattered and distorted wireless signals caused by a special structure of ship, this paper presents an efficient shipboard positioning technique using existing shipboard Wi-Fi network and additional ultra-wide band (UWB) nodes which are the IEEE 802.15.4a modules capable of precise positioning. The proposed method can reduce computational complexity that can occur during signal acquisition and automatically create and update more rapid and precise modified radio maps, by fusing the distance information obtained from UWB and Wi-Fi fingerprint. In addition, the advantages of proposed system are that selective computation technique which can remove weak signals is applied to reduce the amount of computation needed to create modified radio map and the positioning errors can be improved by assigning a positioning weight to each preceding position value because the same signal intensities can occur in other areas within the Wi-Fi network. The efficiency of the proposed method and its comparison with other methods are demonstrated.

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References

  1. Swangmuang, N., & Krishnamurthy, P. (2008). Location fingerprint analyses toward efficient indoor positioning. In Sixth annual IEEE international conference on pervasive computing and communications, pp. 101–109.

  2. So, J. M., Lee, J. Y., Yoon, C. H., & Park, H. J. (2013). An improved location estimation method for Wi-Fi fingerprint-based indoor localization. International Journal of Software Engineering and Its Applications, 7(3), 77–86.

    Google Scholar 

  3. Arai, K., & Tolle, H. (2013). Color radiomap interpolation for efficient fingerprint WiFi-based indoor location estimation. International Journal of Advanced Research in Artificial Intelligence, 2(3), 10–15.

    Google Scholar 

  4. Fallah, N., Apostolopoulos, I., Bekris, K., & Folmer, E. (2013). Indoor human navigation systems: A survey. Interacting with Computers, 25(1), 21–33.

    Google Scholar 

  5. Zhou, Y., Jin, L., Jin, C., & Zhou, A. (2013). FIMO: A novel WiFi localization method. In Asia-Pacific web conference (pp. 437–448). Berlin: Springer.

    Google Scholar 

  6. Li, Y., & Liu, X. (2014). An indoor three-dimensional positioning algorithm based on difference received signal strength in WiFi. In Computer engineering and networking: Proceedings of the 2013 international conference on computer engineering and network (pp. 115–124). Springer Science & Business Media.

  7. Chen, L., Li, B., Zhao, K., Rizos, C., & Zheng, Z. (2013). An improved algorithm to generate a Wi-Fi fingerprint database for indoor positioning. Sensors, 13(8), 11085–11096.

    Article  Google Scholar 

  8. Kim, Y. G., Chon, Y. H., & Cha, H. G. (2012). Smartphone-based collaborative and autonomous radio fingerprinting. IEEE Transactions on Systems, Man, and Cybernetics Part C: Applications and Reviews, 42(1), 112–122.

    Article  Google Scholar 

  9. Dil, B. J., & Havinga, P. J. M. (2010). RSS-based localization with different antenna orientations. In Australasian telecommunication networks and applications conference, pp. 13–18.

  10. Fan, R., Tian, Z., Linfu, D., Li, J. Y., & Wan, Q. (2010). Indoor localization error measurements with multiple channels. In 2010 second international conference on networks security, wireless communications and trusted computing, Vol. 2, pp. 176–179.

  11. Manodham, T., Loyola, L., & Miki, T. (2008). A novel wireless positioning system for seamless internet connectivity based on the WLAN infrastructure. Journal of Wireless Personal Communication, 44(3), 295–309.

    Article  Google Scholar 

  12. Qiu, J., Wang, X., & Dai, G. (2014). Improving the indoor localization accuracy for CPS by reorganizing the fingerprint signatures. International Journal of Distributed Sensor Networks, 415710, 2014.

    Google Scholar 

  13. Liu, H., Wang, Y., Chen, Y., Yang, J., Sidhom, S., & Ye, F. (2014). Accurate WiFi based localization for smartphones using peer assistance. IEEE Transactions on Mobile Computing, 13(10), 2199–2214.

    Article  Google Scholar 

  14. Muller, P., Wymeersch, H., & Piche, R. (2014). UWB positioning with generalized Gaussian mixture filters. IEEE Transactions on Mobile Computing, 13(10), 2406–2414.

    Article  Google Scholar 

  15. Saeed, A., Kosba, A. E., & Youssef, M. (2014). Ichnaea: A low-overhead robust WLAN device-free passive localization system. IEEE Journal of Selected Topics in Signal Processing, 8(1), 5–15.

    Article  Google Scholar 

  16. Sarkar, A., Majumdar, S., & Bhattacharya, P. P. (2013). Path loss estimation for a wireless sensor network for application in ship. International Journal of Computer Science and Mobile Computing, 2(6), 87–96.

    Google Scholar 

  17. Pena, D., Feick, R., Hristov, H. D., & Grote, W. (2003). Measurement and modeling of propagation losses in brick and concrete walls for the 900-MHz band. IEEE Transactions on Antennas and Propagation, 51(1), 31–39.

    Article  Google Scholar 

  18. Dewberry, B., & Beeler, W. (2012). Increased ranging capacity using ultrawideband direct-path pulse signal strength with dynamic recalibration. In Proceedings of the 2012 IEEE/ION position, location and navigation symposium.

  19. Johnson, J., & Dewberry, B. (2011). Ultra-wideband aiding of GPS for quick deployment of anchors in a GPS-denied ad-hoc sensor tracking and communication system. In Proceedings of ION GNSS.

  20. Lim, J. S., Jang, W. H., Yoon, G. W., & Han, D. S. (2013). Radio map update automation for WiFi positioning systems. IEEE Communications Letters, 17(4), 693–696.

    Article  Google Scholar 

  21. Kim, J. Y., Ji, M. I., Cho, Y. S., Lee, Y. K., & Park, S. J. (2013). Fingerprint DB generating system exploiting PDR based dynamic collection for indoor localization of smart-phone users. In IEEE 2013 13th international conference on control, automation and systems (ICCAS), pp. 715–718.

  22. Youssef, M., Agrawala, A., & Shankar, A. U. (2003). WLAN location determination via clustering and probability distributions. In Proceedings of the first IEEE international conference on pervasive computing and communications, pp. 143–150.

  23. Molisch, A. F., Balakrishnan, K., Chong, C. C., Emami, S., Fort, A., Karedal, J., et al. (2004). IEEE 802.15. 4a channel model-final report. IEEE.

  24. Park, J. G., Charrow, B., Curtis, D., Battat, J., Minkov, E., Hicks, J., et al. (2010). Growing an organic indoor location system. In Proceedings of the 8th international conference on mobile systems, applications, and service, pp. 271–284.

  25. Gallagher, T., Li, B., Dempster, A. G., & Rizos, C. (2010). Database updating through user feedback in fingerprinting-based Wi-Fi location systems. In Ubiquitous positioning indoor navigation and location based service, pp. 1–8.

  26. Hossain, A. M., Van, H. N., & Soh, W.-S. (2010). Utilization of user feedback in indoor positioning system. Pervasive and Mobile Computing, 6(4), 467–481.

    Article  Google Scholar 

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Acknowledgments

This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (No. 2014R1A1A4A01008081).

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Authors and Affiliations

  1. Department of Electrical and Electronics Engineering, Korea Maritime and Ocean University, #727 Taejong-Ro, Youngdo-Gu, Busan, 49112, Korea

    Ju-Hyeon Seong

  2. Medical IT Convergence Research Section, Electronics and Telecommunications Research Institute, #1 Techno sunhwan-Ro 10-Gil, Yuga-myeon, Dalseong-Gun, Deagu, 42994, Korea

    Eun-Chang Choi

  3. Division of Marine Information Technology, Korea Maritime and Ocean University, #727 Taejong-Ro, Youngdo-Gu, Busan, 49112, Korea

    Jang-Se Lee

  4. Division of Electronics and Electrical Information Engineering, Korea Maritime and Ocean University, #727 Taejong-Ro, Youngdo-Gu, Busan, 49112, Korea

    Dong-Hoan Seo

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  1. Ju-Hyeon Seong
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  2. Eun-Chang Choi
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  3. Jang-Se Lee
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  4. Dong-Hoan Seo
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Correspondence to Dong-Hoan Seo.

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Seong, JH., Choi, EC., Lee, JS. et al. High-Speed Positioning and Automatic Updating Technique Using Wi-Fi and UWB in a Ship. Wireless Pers Commun 94, 1105–1121 (2017). https://doi.org/10.1007/s11277-016-3673-2

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