Skip to main content

A Real-Time Indoor Localization Method with Low-Cost Microwave Doppler Radar Sensors and Particle Filter

  • Conference paper
  • First Online:
Computers Helping People with Special Needs (ICCHP 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12376))

Abstract

We propose a novel method of localization based on low-cost continuous-wave unmodulated doppler microwave radar sensors. We use both velocity measures and distance estimations with RSS from radar sensors. We also implement a particle filter for real time localization. Experiments show that, with a reasonable initial estimate, it is possible to track the movements of a person in a room with enough accuracy for considering using this type of devices for monitoring a person or indoor guiding applications.

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 79.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 99.99
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

Similar content being viewed by others

References

  1. Ferrand, S., Alouges, F., Aussal, M.: An augmented reality audio device helping blind people navigation. In: Miesenberger, K., Kouroupetroglou, G. (eds.) ICCHP 2018. LNCS, vol. 10897, pp. 28–35. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-94274-2_5

    Chapter  Google Scholar 

  2. Zafari, F., Gkelias, A., Leung, K.K.: A survey of indoor localization systems and technologies. IEEE Commun. Surv. Tutorials 21(3), 2568–2599 (2019)

    Article  Google Scholar 

  3. Geisheimer, J.L., Iii, E.F.G., Marshall, W.S.: High-resolution Doppler model of the human gait. In: Radar Sensor Technology and Data Visualization, vol. 4744, pp. 8–18. International Society for Optics and Photonics, July 2002

    Google Scholar 

  4. Phillips, C.E., et al.: Radar walk detection in the apartments of elderly. In: 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 5863–5866, August 2012. ISSN: 1557–170X

    Google Scholar 

  5. Rui, L., Chen, S., Ho, K., Rantz, M., Skubic, M.: Estimation of human walking speed by Doppler radar for elderly care. J. Ambient Intell. Smart Environ. 9, 181–191 (2017)

    Article  Google Scholar 

  6. Tang, Y., Li, C.: Wearable indoor position tracking using onboard K-band Doppler radar and digital gyroscope. In: 2015 IEEE MTT-S 2015 International Microwave Workshop Series on RF and Wireless Technologies for Biomedical and Healthcare Applications (IMWS-BIO), Taipei, Taiwan, pp. 76–77. IEEE, September 2015

    Google Scholar 

  7. Wang, J., Tang, Y., Muñoz-Ferreras, J.-M., Gómez-García, R., Li, C.: An improved indoor localization solution using a hybrid UWB-Doppler system with Kalman filter. In: 2018 IEEE Radio and Wireless Symposium (RWS), pp. 181–183, January 2018. ISSN: 2164–2974

    Google Scholar 

  8. Benkic, K., Malajner, M., Planinsic, P., Cucej, Z.: Using RSSI value for distance estimation in wireless sensor networks based on ZigBee. In: 2008 15th International Conference on Systems, Signals and Image Processing, pp. 303–306, June 2008

    Google Scholar 

  9. Madgwick, S.O., Harrison, A.J., Vaidyanathan, R.: Estimation of IMU and MARG orientation using a gradient descent algorithm. In: 2011 IEEE International Conference on Rehabilitation Robotics, pp. 1–7, IEEE (2011)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sylvain Ferrand .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Ferrand, S., Alouges, F., Aussal, M. (2020). A Real-Time Indoor Localization Method with Low-Cost Microwave Doppler Radar Sensors and Particle Filter. In: Miesenberger, K., Manduchi, R., Covarrubias Rodriguez, M., Peňáz, P. (eds) Computers Helping People with Special Needs. ICCHP 2020. Lecture Notes in Computer Science(), vol 12376. Springer, Cham. https://doi.org/10.1007/978-3-030-58796-3_54

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-58796-3_54

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-58795-6

  • Online ISBN: 978-3-030-58796-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics