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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
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
Zafari, F., Gkelias, A., Leung, K.K.: A survey of indoor localization systems and technologies. IEEE Commun. Surv. Tutorials 21(3), 2568–2599 (2019)
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
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
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)
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
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
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
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)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
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)