Skip to main content

SHARF: A Single Beacon Hybrid Acoustic and RF Indoor Localization Scheme

  • Conference paper
  • First Online:
Cognitive Radio Oriented Wireless Networks (CrownCom 2015)

Abstract

The inability of GPS (Global Positioning System) to provide accurate position in an indoor environment has resulted in global efforts for a precise indoor position system throughout the last decade. The current state of the art of localization and tracking estimates the position of the mobile node based on attributes like received signal strength (RSS), angle of arrival (AoA) etc. from at least three anchor nodes. This paper presents SHARF; a single beacon hybrid acoustic and RF localization scheme in an indoor environment. It combines the RF RSS information for ranging with the angle of azimuth from acoustic localization system based on beacon signals from only one target node to one anchor node. The experimental results show an improved localization accuracy in comparison to trilateration scheme. All these features, i.e. single beacon, hybrid approach and outlier rejection, posit the superiority of this technique over the existing systems.

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 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Schneider, D.: New indoor navigation technologies work where gps can’t. IEEE Spectrum (2013)

    Google Scholar 

  2. Gu, Y., Lo, A., Niemegeers, I.: A survey of indoor positioning systems for wireless personal networks. Communications Surveys & Tutorials, IEEE 11(1), 13–32 (2009)

    Article  Google Scholar 

  3. He, T., Huang, C., Blum, B.M., Stankovic, J.A., Abdelzaher, T.: Range-free localization schemes for large scale sensor networks. In: Proceedings of the 9th Annual International Conference on Mobile Computing and Networking, pp. 81–95. ACM (2003)

    Google Scholar 

  4. Peterson, J.M., Kyriakakis, C.: Hybrid algorithm for robust, real-time source localization in reverberant environments. In: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2005, vol. 4, pp. iv-1053. IEEE (2005)

    Google Scholar 

  5. DiBiase, J.H.: A high-accuracy, low-latency technique for talker localization in reverberant environments using microphone arrays, Ph.D. dissertation, Brown University (2000)

    Google Scholar 

  6. Kietlinski-Zaleski, J., Yamazato, T., Katayama, M.: Experimental validation of TOA UWB positioning with two receivers using known indoor features. In: 2010 IEEE/ION Position Location and Navigation Symposium (PLANS), pp. 505–509. IEEE (2010)

    Google Scholar 

  7. So, H.C., Lin, L.: Linear least squares approach for accurate received signal strength based source localization. IEEE Transactions on Signal Processing 59(8), 4035–4040 (2011)

    Article  MathSciNet  Google Scholar 

  8. Geng, X., Wang, Y., Feng, H., Chen, Z.: Hybrid radio-map for noise tolerant wireless indoor localization. In: 2014 IEEE 11th International Conference on Networking, Sensing and Control (ICNSC), pp. 233–238. IEEE (2014)

    Google Scholar 

  9. Mao, G., Anderson, B., Fidan, B.: Path loss exponent estimation for wireless sensor network localization. Computer Networks 51(10), 2467–2483 (2007)

    Article  MATH  Google Scholar 

  10. Goldsmith, A.: Wireless communications. Cambridge University Press (2005)

    Google Scholar 

  11. Moshtaghi, M., et. al.: Incremental elliptical boundary estimation for anomaly detection in wireless sensor networks. In: IEEE International Conference on Data Mining (ICDM), pp. 467–476. IEEE (2011)

    Google Scholar 

  12. Benesty, J., Chen, J., Huang, Y.: Microphone array signal processing, vol. 1. Springer (2008)

    Google Scholar 

  13. Knapp, C., Carter, G.C.: The generalized correlation method for estimation of time delay. IEEE Transactions on Acoustics, Speech and Signal Processing 24(4), 320–327 (1976)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ahmed Zubair .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Institute for Computer Science, Social Informatics and Telecommunications Engineering

About this paper

Cite this paper

Zubair, A., Tariq, Z.B., Naqvi, I.H., Uppal, M. (2015). SHARF: A Single Beacon Hybrid Acoustic and RF Indoor Localization Scheme. In: Weichold, M., Hamdi, M., Shakir, M., Abdallah, M., Karagiannidis, G., Ismail, M. (eds) Cognitive Radio Oriented Wireless Networks. CrownCom 2015. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 156. Springer, Cham. https://doi.org/10.1007/978-3-319-24540-9_41

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-24540-9_41

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24539-3

  • Online ISBN: 978-3-319-24540-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics