Skip to main content

A Fingerprint Indoor Positioning Method Fusing Bluetooth and Geomagnetic Field

  • Conference paper
  • First Online:
Signal and Information Processing, Networking and Computers (ICSINC 2023)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 1188))

  • 10 Accesses

Abstract

In recent years, indoor positioning services have been widely used in the fields of navigation, emergency rescue and disaster management. Among various indoor positioning technologies, indoor positioning based on Bluetooth sensor is easy to be popularized and has strong practicability, moreover, it can be realized with the assistance of some built-in functions of mobile terminals. However, the positioning effect is often poor in areas with many people and complex electromagnetic environment. In order to address this problem, this paper proposes a fingerprint indoor positioning method integrating Bluetooth and geomagnetic field (e.g., areas of the pending a set number of Bluetooth beacons). Then, Bluetooth and geomagnetic signals are respectively received through mobile phones bring iBeacon function and hall sensor, then user locations can be estimated by the fusion of Bluetooth and geomagnetic filed. According to the method, the positioning accuracy can be improved under the condition that additional other hardware resources are not added. Simulation results show that the fingerprint indoor positioning method has higher estimation accuracy.

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 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 279.99
Price excludes VAT (USA)
  • Durable hardcover 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. Li, M., Huo, M., et al.: Research and application of intelligent antenna feeder optimization system based on big data. In: Proceedings of theIEEE TrustCom, pp. 1363–1368. Shenyang, China (2021)

    Google Scholar 

  2. Li, M., Huo, M., et al.: Joint offloading decision and resource allocation of 5G edge Intelligent Computing for complex industrial application. In: Proceeding of the IEEE TrustCom. Shenyang (2021)

    Google Scholar 

  3. Zhou, A., Huo, M., et al.: Network security situation assessment methods and tactics based on mul-tivariate spatiotemporal attack graph model. In: Proceedings IEEE SmartCNS, pp. 541–548, December 2021. London, United Kingdom (2021)

    Google Scholar 

  4. Li, M., Huo, M., et al.: Research and application of AI in 5G network operation and maintenance. In: Proceeding of the IEEE ISPA, pp. 1420–1425. December 2020. Exeter, United Kingdom (2021)

    Google Scholar 

  5. Maochen, M., Shihao, Z.: Design of indoor location-based service platform for an airport terminal. Intell. Build. 252, 66–69 (2021)

    Google Scholar 

  6. Mi, J., Zhou, N., Wu, W., et al.: Intelligent application of indoor location-based services. Surve. Map. Sci. 46(6), 1–8 (2021)

    Google Scholar 

  7. Xu, H., Mi, J., Li, D., et al.: Research on design and application of indoor location-based service cloud platform. J. Navig. Position. 9(5), 126–133 (2021)

    Google Scholar 

  8. Yang, H., Guan, C., Zhou, Y.: A cloud platform construction method for indoor location services. J. Navig. Position. 9(5), 96–100 (2021)

    Google Scholar 

  9. Zhao, Z., Tong, Y., Cui, J.: Wi-Fi fingerprint device-independent indoor positioning model based on domain adaptation. J. Commun. 43(4), 143–153 (2022)

    Google Scholar 

  10. Yuan, Y., Guo, X., He, Y.: Dual-frequency-time-frequency channel joint fingerprint optimization indoor positioning method. Sig. Process. 38(4), 708–719 (2022)

    Google Scholar 

  11. Zhu, Q., Wang, W.: Indoor localization algorithm based on RSSI fingerprint map. Foreign Electron. Measure. Technol. 39(10), 6–9 (2020)

    Google Scholar 

  12. Xi, Z., Zhan, M.: WiFi-KNN indoor localization algorithm based on location range limitation. Appl. Sci. Technol. 47(4), 66–70 (2020)

    Google Scholar 

  13. Hu, Z., Liu, J., Huang, G., et al.: Integration of WiFi, lidar and map for robot indoor localization. J. Electron. Inf. Technol. 43(8), 2308–2316 (2021)

    Google Scholar 

  14. Zhang, J., Wang, Z., Shang, L., et al.: BTNC: A blockchain based trusted network connec-tion protocol in IoT. J. Parallel Distrib. Comput. 143, 1–16 (2020)

    Google Scholar 

  15. Holetschek, J., Droege, G., Güntsch, A., et al.: Gardens4Science: Setting up a trusted network for German botanic gardens using open source technologies. Biodiv. Inform. Sci. Stand. (2021)

    Google Scholar 

  16. Chen, K., et al.: Recent Advances in Da-ta-driven Wireless Communication using Gaussian Processes: A Comprehensive Sur-vey. China Commun. (2021)

    Google Scholar 

  17. Xu, L., Cao, Y., Yang, H., Sun, C., Zhang, T., et al.: Research on telecom big data platform of LTE/5G mobile networks. In: 18th IEEE International Conferences on Ubiquitous Computing and Communications, pp. 756–761. IEEE press, Shenyang (2019)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mingde Huo .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Zhou, A., Wang, S., Ji, L., Huo, M. (2024). A Fingerprint Indoor Positioning Method Fusing Bluetooth and Geomagnetic Field. In: Wang, Y., Zou, J., Xu, L., Ling, Z., Cheng, X. (eds) Signal and Information Processing, Networking and Computers. ICSINC 2023. Lecture Notes in Electrical Engineering, vol 1188. Springer, Singapore. https://doi.org/10.1007/978-981-97-2124-5_26

Download citation

  • DOI: https://doi.org/10.1007/978-981-97-2124-5_26

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-97-2123-8

  • Online ISBN: 978-981-97-2124-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics