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Centimeter-Level Localization Algorithm with RFID Passive Tags

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Abstract

Indoor localization technology of radio frequency identification (RFID) had gained much attention in recent years, but previous works usually need relative motion between a reader and a tag, or reference tags. Such operation brought about more complexities and difficulties for system deployment. This paper proposes an algorithm that enables centimeter accuracy on ranging and localization in line-of-sight (LOS) and non-line-of-sight (NLOS) environments without relative motion and reference tags. By exploiting physical properties to emulate a large virtual bandwidth on off-the-shelf passive RFID tags and combining with frequency hopping continuous wave (FHCW) algorithm, we can achieve centimeter-level ranging accuracy and perform centimeter-level 3D localization at x/y/z dimensions. In case of missing some channel information, we put a Non-uniform Discrete Fourier Transform (NDFT) to identify LOS path and obtain 1D ranging result with centimeter accuracy. For indoor multi-path environments, we propose an optimized multipath suppression algorithm to ensure centimeter-level accuracy on ranging and localization. Emulation results demonstrate that the algorithm can achieve 2 cm ranging accuracy within the distance of 7 m, and the accuracy probability is above 97%.

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Acknowledgement

This work was supported partly by the Scientific and Technological Research Foundation of Chongqing Municipal Education Commission under grant KJ1704083, the National Natural Science Foundation of China under 61704015, the Fundamental and Frontier Research Project of Chongqing under grant cstc2017jcyjAX0380.

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Correspondence to Die Jiang .

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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Xie, L., Jiang, D., Fu, X., Jiang, Q. (2019). Centimeter-Level Localization Algorithm with RFID Passive Tags. In: Jia, M., Guo, Q., Meng, W. (eds) Wireless and Satellite Systems. WiSATS 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 280. Springer, Cham. https://doi.org/10.1007/978-3-030-19153-5_15

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  • DOI: https://doi.org/10.1007/978-3-030-19153-5_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-19152-8

  • Online ISBN: 978-3-030-19153-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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