Skip to main content

The Application of Beidou and Ultra-Broadband Positioning Technology in the Power Security Protection System

  • Conference paper
  • First Online:
Big Data and Security (ICBDS 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1563))

Included in the following conference series:

  • 1005 Accesses

Abstract

In the Beidou positioning system, due to the obstruction of obstacles, the indoor is often unable to obtain positioning information. For this case, a scheme based on Beidou indoor and outdoor integration positioning is proposed. First, the algorithms of satellite localization and ultra wide band localization are studied, and a high-precision positioning algorithm compatible with both positioning modes is proposed. Seamless switching algorithm can realize positioning mode switching without affecting positioning accuracy. Based on the research of algorithm model of substation, determine the layout mode and positioning accuracy, and solve the problem of weak signal of indoor positioning. This scheme guarantees the positioning accuracy in the practical application environment, and it provides a theoretical basis for the positioning of people and equipment in the power system.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 99.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 129.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Bahl, P., Padmanabhan, V.N.: RADAR: an in-building RF-based user location and tracking system. In: INFOCOM 2000. Nineteenth Joint Conference of the IEEE Computer and Communications Societies, vol. 2, pp. 775–784 (2000)

    Google Scholar 

  2. Shaukat, M., Chitre, M.: Adaptive behaviors in multi-agent source localization using passive sensing. Adapt. Behav. 24(6), 446–463 (2016)

    Article  Google Scholar 

  3. Patil, N.A., Munson, J., Wood, D., Cole, A.: Blue Bot: asset tracking via robotic location crawling. Comput. Commun. 31(6), 1067–1077 (2008)

    Article  Google Scholar 

  4. Broumandan, A., Nielsen, J., Lachapelle, G.: Indoor GNSS signal acquisition performance using a synthetic antenna array. IEEE Trans. Aerosp. Electron. Syst. 47(2), 1337–1350 (2011)

    Article  Google Scholar 

  5. Rycroft, M.J.: Understanding GPS. Principles and applications. J. Atmos. Solar-Terr. Phys. 59(5), 598–599 (2006)

    Article  Google Scholar 

  6. Deng, Z., Yanpei, Y., Yuan, X., Wan, N., Yang, L.: Situation and development tendency of indoor positioning. China Commun. 10(3), 42–55 (2013)

    Article  Google Scholar 

  7. Jardak, N., Samama, N.: Indoor positioning based on GPS-repeaters: performance enhancement using an open code loop architecture. IEEE Trans. Aerosp. Electron. Syst. 45(1), 347–359 (2009)

    Article  Google Scholar 

  8. Alexandre, V.P., Samama, N.: Interference mitigation in a repeater and pseudolite indoor positioning system. IEEE J. Sel. Top. Signal Process. 3(5), 810–820 (2009)

    Article  Google Scholar 

  9. Ouyang, R.W., Wong, A.-S., Woo, K.T.: Indoor localization via discriminatively regularized least square classification. Int. J. Wireless Inf. Networks 18(2), 57–72 (2011). https://doi.org/10.1007/s10776-011-0133-5

    Article  Google Scholar 

  10. Tang Li, X., Yubin, Z., et al.: Research on K nearst neighbors algorithm under the indoor WLAN. Comput. Sci. B 36(4), 54–55 (2009)

    Google Scholar 

  11. Ni, L.M., Liu, Y., Lau, Y.C., Patil, A.P.: LANDMARC: indoor location sensing using active RFID. Wireless Netw. 10(6), 701–710 (2004)

    Article  Google Scholar 

  12. Liebe, C.C., Murphy, N., Dorsky, L.: Three-axis sun sensor for attitude determination. IEEE Aerosp. Electron. Syst. Mag. 31(6), 6–11 (2016)

    Article  Google Scholar 

  13. Manandhar, D., Kawaguchi, S., Torimoto, H.: Results of IMES (indoor messaging system) implementation for seamless indoor navigation and social infrastructure platform. In: Proceedings of International Technical Meeting of the Satellite Division of the Institute of Navigation, vol. 7672, no. 6, pp. 1184–1191 (2010)

    Google Scholar 

  14. Dammann, A., Raulefs, R., Zhang, S.: On prospects of positioning in 5G. In: 2015 IEEE International Conference on Communication Workshop (ICCW), London, England, pp. 1207–1213 (2015)

    Google Scholar 

  15. Lee, J.-E., Lee, S.: Indoor initial positioning using single clock pseudolite system. In: 2010 IEEE International Conference on Information and Communication Technology Convergence (ICT), pp. 575–578. IEEE (2010)

    Google Scholar 

  16. Ward, A., Jones, A., Hopper, A.: A new location technique for the active office. IEEE Pers. Commun. 4(5), 42–47 (1997)

    Article  Google Scholar 

  17. Cui, Q., Zhang, X.: Research analysis of wireless localization with insufficient resources for next-generation mobile communication networks. Int. J. Commun. Syst. 26(9), 1206–1226 (2013)

    Article  Google Scholar 

  18. Wei, K., Wu, L.: Mobile location with NLOS identification and mitigation based on modified Kalman filtering. Sensors 11(2), 1641 (2011)

    Article  Google Scholar 

  19. Rui, X., Chen, W., Ying, X., Ji, S.: A new indoor positioning system architecture using GPS signals. Sensors 15(5), 10074–10087 (2015)

    Article  Google Scholar 

  20. Bu-lin, M., Fan, Y.: The design and implementation of WiFi localization GIS for mine. J. Xi’an Univ. Sci. Technol. 32(3), 301–305 (2012)

    Google Scholar 

  21. Guanglong, Y., Yongping, K., Zhiming, Z., et al.: Indoor positioning system design and implementation of based on multimode fingerprint matching. Comput. Eng. Des. 34(5), 1896–1901 (2013)

    Google Scholar 

  22. Mehmood, H., Tripathi, N., Tipdecho, T.: Seamless switching between GNSS and WLAN based indoor positioning system for ubiquitous positioning. Earth Sci. Inf. 8(1), 221–231 (2014). https://doi.org/10.1007/s12145-014-0157-3

    Article  Google Scholar 

  23. Guan, W., Deng, Z., Yu, Y., Ge, Y.: A NLOS mitigation method for CDMA2000 mobile location. In: 2010 2nd IEEE International Conference on Network Infrastructure and Digital Content, Beijing China, pp. 668–672 (2010)

    Google Scholar 

Download references

Acknowledgments

The authors would like to thank the anonymous reviewers and editor for their comments that improved the quality of this paper. This work is supported by scientific project of State Grid Fujian Economic Research Institue under Grant NO. SGFJJ00GHJS2000044.

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Yang, Yq., Miao, Ww., Zeng, Z. (2022). The Application of Beidou and Ultra-Broadband Positioning Technology in the Power Security Protection System. In: Tian, Y., Ma, T., Khan, M.K., Sheng, V.S., Pan, Z. (eds) Big Data and Security. ICBDS 2021. Communications in Computer and Information Science, vol 1563. Springer, Singapore. https://doi.org/10.1007/978-981-19-0852-1_13

Download citation

  • DOI: https://doi.org/10.1007/978-981-19-0852-1_13

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-0851-4

  • Online ISBN: 978-981-19-0852-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics