Abstract
A RFID-based localization method, using the phase data and its gradient information of radio signal between the RFID reader and tag, is proposed in this paper. The unknown RFID tags location can be calculated through calibrating phase drift and structuring count matrix and difference matrix. A mobile robot equipped with odometer sensors and a RFID reader is employed herein to form the synthetic aperture. Simulations are performed, and the results show that the proposed method can achieve a satisfied localization accuracy at shorter synthetic aperture length, and has the potential in warehouse management.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Ko, C.-H.: RFID 3D location sensing algorithms. Autom. Constr. 19(5), 588–595 (2010)
Nan, L., Becerik-Gerber, B.: Performance-based evaluation of RFID-based indoor location sensing solutions for the built environment. Adv. Eng. Inform. 25(3), 535–546 (2011)
Yang, L., Chen, Y., Li, X.-Y., Xiao, C., Li, M., Liu, Y.: Tagoram: real-time tracking of mobile RFID tags to high precision using COTS devices. In: 20th ACM Annual International Conference on Mobile Computing and Networking, MobiCom 2014, 7-11 September 2014, pp. 237–248. Association for Computing Machinery, Maui (2014)
Zhou, J., Shi, J.: Localisation of stationary objects using passive RFID technology. Int. J. Comput. Integr. Manuf. 22(7), 717–726 (2009)
Azzouzi, S., Cremer, M., Dettmar, U., Knie, T., Kronberger, R.: Improved AoA based localization of UHF RFID tags using spatial diversity. In: 2011 IEEE International Conference on RFID-Technologies and Applications (RFID-TA 2011), 15-16 September 2011, pp. 174-80. IEEE, Piscataway (2011)
Nikitin, P.V., Martinez, R., Ramamurthy, S., Leland, H., Spiess, G., Rao, K.V.S.: Phase Based Spatial Identification of UHF RFID Tags. In: 2010 IEEE International Conference on RFID (IEEE RFID 2010), 14–16 April 2010, pp. 102-109. IEEE, Piscataway (2010)
Martinelli, F.: A robot localization system combining RSSI and phase shift in UHF-RFID signals. IEEE Trans. Control Syst. Technol. 23(5), 1782–1796 (2015)
Tianci, L., Lei, Y., Qiongzheng, L., Yi, G., Yunhao, L.: Anchor-free backscatter positioning for RFID tags with high accuracy. In: IEEE INFOCOM 2014 - IEEE Conference on Computer Communications, 27 April-2 May 2014, pp. 379–387. IEEE, Piscataway (2014)
Miesen, R., Kirsch, F., Vossiek, M.: Holographic localization of passive UHF RFID transponders. In: 2011 IEEE International Conference on RFID (IEEE RFID 2011), 12-14 April 2011, pp. 32-37. IEEE, Piscataway (2011)
Miesen, R., Kirsch, F., Vossiek, M.: UHF RFID localization based on synthetic apertures. IEEE Trans. Autom. Sci. Eng. 10(3), 807–815 (2013)
Parr, A., Miesen, R., Vossiek, M.: Inverse SAR approach for localization of moving RFID tags. In: 2013 IEEE International Conference on RFID (IEEE RFID 2013), 30 April-2 May 2013, pp. 104–109. IEEE, Piscataway (2013)
Cook, G.: Mobile Robots: Navigation, Control and Remote Sensing. John Wiley & Sons, Inc., Hoboken (2011)
Acknowledgments
This work is supported by the National Science Foundation of China under Grant 51575215 and 51535004, the National Science and Technology Major Project of China under Grant 2014ZX04014101 and the Guangdong Innovative Research Team Program under Grant 2011G006.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this paper
Cite this paper
Wu, H., Gong, Z., Tao, B., Yin, Z. (2016). An Efficient RFID-Based Localization Method with Mobile Robot. In: Kubota, N., Kiguchi, K., Liu, H., Obo, T. (eds) Intelligent Robotics and Applications. ICIRA 2016. Lecture Notes in Computer Science(), vol 9834. Springer, Cham. https://doi.org/10.1007/978-3-319-43506-0_36
Download citation
DOI: https://doi.org/10.1007/978-3-319-43506-0_36
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-43505-3
Online ISBN: 978-3-319-43506-0
eBook Packages: Computer ScienceComputer Science (R0)