Advertisement

On-body TOA-based ranging error model for motion capture applications within wearable UWB networks

  • Jihad Hamie
  • Benoit Denis
  • Raffaele D’Errico
  • Cedric Richard
Original Research

Abstract

We present herein an error model that characterizes on-body range measurements based on time of arrival (TOA) estimation in Impulse radio-ultra wideband, wireless body area networks. Considering real channel measurements over two representative on-body links for repeated walk cycles, the model is drawn as a conditional mixture, accounting for signal to noise ratio (SNR) variations and non line of sight (NLOS) channel obstructions caused by the body. Key model parameters are then investigated as a function of the previous obstruction and SNR configurations, illustrating missed/false path detection effects at low SNR. On this occasion, two TOA estimators are compared, namely a strongest path detection scheme through matched filtering and a first path detection scheme relying on high-resolution channel estimation. Finally, we discuss the possibility to generalize the previous model to any kind of on-body link, based on empirical observations regarding the dynamic range of the channel power transfer function under mobility. Accordingly, the resulting final model could integrate basic elements of classification, such as the instantaneous LOS/NLOS and static/dynamic link status.

Keywords

Body shadowing IEEE 802.15.6 Impulse radio Non line of sight On-body propagation Ranging error Time of arrival Ultra wideband Wireless body area network 

Notes

Acknowledgments

This work has been carried out in the frame of the CORMORAN project, which is funded by the French National Research Agency (ANR) under the contract number ANR-11-INFR-010.

References

  1. Ben Hamida E, Maman M, Denis B, Ouvry L (2010) Localization performance in wireless body sensor networks with beacon enabled mac and space-time dependent channel model. In: Personal, indoor and mobile radio communications workshops (PIMRC Workshops), 2010 IEEE 21st International Symposium, pp 128–133Google Scholar
  2. Denis B, Keignart J (2003) Post-processing framework for enhanced uwb channel modeling from band-limited measurements. In: Ultra wideband systems and technologies, 2003 IEEE Conference, pp 260–264Google Scholar
  3. D’Errico R, Ouvry L (2009) Time-variant ban channel characterization. In: Personal, indoor and mobile radio communications, 2009 IEEE 20th International Symposium, pp 3000–3004Google Scholar
  4. Destino G, Macagnano D, Abreu G, Denis B, Ouvry L (2007) Localization and tracking for ldr-uwb systems. In Mobile and Wireless Communications Summit, 2007, IEEE. 16th IST, pp 1–5Google Scholar
  5. Di Renzo M, Buehrer R, Torres J (2007) Pulse shape distortion and ranging accuracy in uwb-based body area networks for full-body motion capture and gait analysis. In: Global telecommunications conference, 2007. GLOBECOM’07. IEEE, pp 3775–3780Google Scholar
  6. Gezici S, Tian Z, Giannakis G, Kobayashi H, Molisch A, Poor H, Sahinoglu Z (2005) Localization via ultra-wideband radios: a look at positioning aspects for future sensor networks.In: Signal processing magazine, IEEE, 22(4):70–84Google Scholar
  7. Kyung-Sup K, Ullah S, Ullah N (2010) An overview of ieee 802.15.6 standard. In: Applied sciences in biomedical and communication technologies (ISABEL), 2010 3rd International Symposium, pp 1–6Google Scholar
  8. Mekonnen Z, Slottke E, Luecken H, Steiner C, Wittneben A (2010) Constrained maximum likelihood positioning for uwb based human motion tracking. In: Indoor positioning and indoor navigation (IPIN), 2010 International Conference, pp 1–10Google Scholar
  9. Sahinoglu Z, Gezici S, Guvenc I (2008) Ultra-wideband positioning systems: theoretical limits, ranging algorithms, and protocols. Cambridge University Press, CambridgeCrossRefGoogle Scholar
  10. Shaban H, El-Nasr M, Buehrer R (2010) Toward a highly accurate ambulatory system for clinical gait analysis via uwb radios. Inf Technol Biomed IEEE Trans 14(2):284–291CrossRefGoogle Scholar
  11. Ullah S, Higgins H, Braem B, Latre B, Blondia C, Moerman I, Saleem S, Rahman Z, Kwak K (2012) A comprehensive survey of wireless body area networks. J Med Syst 36(3):1065–1094CrossRefGoogle Scholar
  12. Yang L (2004) The applicability of the tap-delay line channel model to ultra wideband. PhD thesis, Virginia Polytechnic Institute and State UniversityGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Jihad Hamie
    • 1
  • Benoit Denis
    • 1
  • Raffaele D’Errico
    • 1
  • Cedric Richard
    • 2
  1. 1.CEA-Leti Minatec CampusCedex 09 GrenobleFrance
  2. 2.Université de Nice Sophia-Antipolis/UMR CNRS 6525Cedex 2 NiceFrance

Personalised recommendations