Skip to main content

Indoor and Outdoor Seamless Localization Method Based on GNSS and WLAN

  • Conference paper
  • First Online:
Communications, Signal Processing, and Systems (CSPS 2018)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 516))

  • 2211 Accesses

Abstract

Localization technology has been widely applied in various fields such as military investigation, natural disaster prevention, address search, and travel route planning. In order to guarantee the coverage range and localization performance of localization technology in both indoor and outdoor environments, research on indoor and outdoor seamless localization using global navigation satellite system (GNSS) and wireless local area network (WLAN) has attracted lots of attention. In this paper, a seamless localization method based on GNSS and WLAN is proposed. The method is able to switch smoothly from GNSS to WLAN localization in indoor and outdoor environments and outperforms either the GNSS localization or WLAN trilateration localization.

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 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
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. Gu YY, Lo A, Niemegeers I. A survey of indoor positioning systems for wireless personal networks. IEEE Commun Surv Tutorials. 2009;11(1):13–32.

    Article  Google Scholar 

  2. Han GJ, Jiang JF, Zhang CY, et al. A survey on mobile anchor node assisted localization in wireless sensor networks. IEEE Commun Surv Tutorials. 2016;18(3):2220–43.

    Article  Google Scholar 

  3. Zhou, M., Tang, Y.X., Tian, Z.S., Xie, L.B, Nie, W. Robust neighborhood graphing for semi-supervised indoor localization with light-loaded location fingerprinting. IEEE Internet Things J. 2017;(99): 1–1.

    Google Scholar 

  4. Kim J, Cheng J, Guivant J, Nieto J. Compressed fusion of GNSS and inertial navigation with simultaneous localization and mapping. IEEE Aerosp Electron Syst Mag. 2017;32(8):22–36.

    Article  Google Scholar 

  5. Zou DY, Meng WX, Han S, He K, Zhang ZZ. Toward ubiquitous lbs: multi-radio localization and seamless positioning. IEEE Wirel Commun. 2016;23(6):107–13.

    Article  Google Scholar 

  6. Sun YL, Xu YB. Error estimation method for matrix correlation-based Wi-Fi indoor localization. KSII Trans Internet and Inf Syst. 2013;7(11):2657–75.

    Article  Google Scholar 

  7. Zhou M, Tang YX, Tian ZS, Xie LB, Geng XL. Semi-supervised learning for indoor hybrid fingerprint database calibration with low effort. IEEE Access. 2017;5(1):4388–400.

    Article  Google Scholar 

  8. Sun YL, Meng WX, Li C, Zhao N, Zhao KL, Zhang NT. Human localization using multi-source heterogeneous data in indoor environments. IEEE Access. 2017;5:812–22.

    Article  Google Scholar 

Download references

Acknowledgments

This work was supported by the Natural Science Foundation of the Jiangsu Higher Education Institutions of China under Grant No. 16KJB510014, the Natural Science Foundation of Jiangsu Province under Grant No. BK20171023, and the National Natural Science Foundation of China under Grant No. 61701223.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jing Shang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Sun, Y., Shang, J., Yang, Y. (2020). Indoor and Outdoor Seamless Localization Method Based on GNSS and WLAN. In: Liang, Q., Liu, X., Na, Z., Wang, W., Mu, J., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2018. Lecture Notes in Electrical Engineering, vol 516. Springer, Singapore. https://doi.org/10.1007/978-981-13-6504-1_167

Download citation

  • DOI: https://doi.org/10.1007/978-981-13-6504-1_167

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-6503-4

  • Online ISBN: 978-981-13-6504-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics