RoSense: Refining LOS Signal Phase for Robust RFID Sensing via Spinning Antenna

December 1, 2022·
Yinan Zhu
Chunhui Duan
Chunhui Duan
Corresponding author
,
Xuan Ding
,
Zheng Yang
· 2 min read
Type
Publication
IEEE Internet of Things Journal, 9(23), 24135-24147
Status
Peer-reviewed
publications

Abstract

RFID sensing leveraging backscatter signal features (e.g., phase shift) from tags has gained increasing popularity in numerous applications but also suffers from negative impacts of environmental multipaths. Past works to address it rely on extra customized devices, labor-intensive offline training, or frequency channel hopping, all of which are non-ubiquitous or ineffective for real-life adoption. This article presents RoSense, a universal method to alleviate multipath reflections’ impacts by spinning the reader antenna, thus enabling more robust RFID sensing. Besides, RoSense requires no RF devices or offline training and operates in a nonintrusive manner. The key insight of RoSense is to exploit two properties of line-of-sight (LOS) signal when spinning the antenna, i.e., the linearity of phase changes and stability of received signal strength to attenuate the nonlinear and nonmonotonic effect of multipath signals and refine the phase shift of LOS signal. We have implemented a prototype of RoSense with COTS devices and studied two cases for evaluation: 1) material identification and 2) object localization. Experimental results show that RoSense can improve the material identification accuracy by up to 16.22% and reduce the mean localization error by up to 39.93%, greatly outperforming the state-of-the-art solutions.

Citation

Y. Zhu, C. Duan, X. Ding, and Z. Yang, “RoSense: Refining LOS Signal Phase for Robust RFID Sensing via Spinning Antenna,” IEEE International Conference on Sensing, Communication, and Networking(IOT), vol. 9, no. 23, pp. 24135-24147, 2022.

中文引用(GB/T 7714)

Zhu Y, Duan C, Ding X, et al. RoSense: Refining LOS Signal Phase for Robust RFID Sensing via Spinning Antenna[J]. IEEE International Conference on Sensing, Communication, and Networking(IOT), 2022, 9(23): 24135-24147.

Chunhui Duan
Authors
Chunhui Duan (she/her)
Associate Professor
I am Chunhui Duan (段春晖), currently an Associate Professor (tenure-track) in School of Computer Science and Technology, Beijing Institute of Technology. Previously, I worked as a postdoc research fellow at Tsinghua University. I received the B.S. and Ph.D. degrees from the School of Software at Tsinghua University, in 2013 and 2018 respectively, supervised by Prof. Yunhao Liu.

My research interests include RFID, Internet-of-Things, indoor localization, wireless sensing, etc.