Prediction-aided Radio-interferometric Object Tracking

Gergely Zachár, Gyula Simon


In this paper a novel robust radio-interferometric object tracking method is proposed. The system contains fixed infrastructure transmitter nodes generating interference signals, the phases of which are measured by the tracked receivers and other fixed infrastructure nodes. From the measured phase values a confidence map is computed, which is used to generate the track of the moving receivers. The proposed method enhances the track estimation by an adaptive evaluation method of the confidence map, and also provides more robust estimation by allowing bad or missing measurements, which are tolerated by predictions extracted from the evolution of the confidence map in time. The performance of the proposed system is illustrated by real measurements.


  1. Au, A.W.S., et al, 2012. Indoor Tracking and Navigation Using Received Signal Strength and Compressive Sensing on a Mobile Device. IEEE Transactions on Mobile Computing, Vol. 12, No. 10, pp. 2050-2062.
  2. Dil B.J., Havinga, P.J.M., 2011. Stochastic Radio Interferometric Positioning in the 2.4 GHz Range. Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems (SenSys 11), Seattle, WA, pp. 108-120.
  3. Kai Ni, Kannan, A., Criminisi, A., Winn, J., 2009. Epitomic Location Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.31, No.12, pp. 2158-2167.
  4. Lanzisera, S., Zats, D., Pister, K. S. J., 2011. Radio Frequency Time-of-Flight Distance Measurement for Low-Cost Wireless Sensor Localization. IEEE Sensors Journal, Vol. 11, No. 3, pp.837-845.
  5. Maroti M., et al, 2005. Radio Interferometric Geolocation. In ACM Third International Conference on Embedded Networked Sensor Systems (SenSys 05), San Diego, CA, pp. 1-12.
  6. Mulloni, A., Wagner, D., Barakonyi, I., Schmalstieg,D., 2009. Indoor Positioning and Navigation with Camera Phones, IEEE Pervasive Computing, Vol. 8, No. 2, pp. 22-31.
  7. Peng, C., Shen, G., Zhang, Y., Li, Y., Tan, K., 2007. BeepBeep: a high accuracy acoustic ranging system using COTS mobile devices. In Proceedings of the 5th international conference on Embedded networked sensor systems pp. 1-14.
  8. Se, S., Lowe, D., Little, J., 2001. Vision-based mobile robot localization and mapping using scale-invariant features. Proceedings of 2001 IEEE International Conference on Robotics and Automation, Vol.2, pp. 2051-2058.
  9. Zachár, G., Simon, G., 2014. Radio-Interferometric Object Trajectory Estimation. Proc. 3rd International Conference on Sensor Networks, SENSORNETS 2014, pp. 268-273.

Paper Citation

in Harvard Style

Zachár G. and Simon G. (2015). Prediction-aided Radio-interferometric Object Tracking . In Proceedings of the 4th International Conference on Sensor Networks - Volume 1: SENSORNETS, ISBN 978-989-758-086-4, pages 161-168. DOI: 10.5220/0005241501610168

in Bibtex Style

author={Gergely Zachár and Gyula Simon},
title={Prediction-aided Radio-interferometric Object Tracking},
booktitle={Proceedings of the 4th International Conference on Sensor Networks - Volume 1: SENSORNETS,},

in EndNote Style

JO - Proceedings of the 4th International Conference on Sensor Networks - Volume 1: SENSORNETS,
TI - Prediction-aided Radio-interferometric Object Tracking
SN - 978-989-758-086-4
AU - Zachár G.
AU - Simon G.
PY - 2015
SP - 161
EP - 168
DO - 10.5220/0005241501610168