Push the Limit of Highly Accurate Ranging on Commercial UWB Devices
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Published:2024-05-13
Issue:2
Volume:8
Page:1-27
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ISSN:2474-9567
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Container-title:Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
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language:en
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Short-container-title:Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Author:
Ma Junqi1ORCID,
Zhang Fusang1ORCID,
Jin Beihong1ORCID,
Su Chang1ORCID,
Li Siheng1ORCID,
Wang Zhi1ORCID,
Ni Jiazhi2ORCID
Affiliation:
1. Key Laboratory of System Software (Chinese Academy of Sciences) and State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences and University of Chinese Academy of Sciences, Beijing, China
2. Localization Technology Department, Tencent Inc., China
Abstract
Ranging plays a crucial role in many wireless sensing applications. Among the wireless techniques employed for ranging, Ultra-Wideband (UWB) has received much attention due to its excellent performance and widespread integration into consumer-level electronics. However, the ranging accuracy of the current UWB systems is limited to the centimeter level due to bandwidth limitation, hindering their use for applications that require a very high resolution. This paper proposes a novel system that achieves sub-millimeter-level ranging accuracy on commercial UWB devices for the first time. Our approach leverages the fine-grained phase information of commercial UWB devices. To eliminate the phase drift, we design a fine-grained phase recovery method by utilizing the bi-directional messages in UWB two-way ranging. We further present a dual-frequency switching method to resolve phase ambiguity. Building upon this, we design and implement the ranging system on commercial UWB modules. Extensive experiments demonstrate that our system achieves a median ranging error of just 0.77 mm, reducing the error by 96.54% compared to the state-of-the-art method. We also present three real-life applications to showcase the fine-grained sensing capabilities of our system, including i) smart speaker control, ii) free-style user handwriting, and iii) 3D tracking for virtual-reality (VR) controllers.
Funder
National Natural Science Foundation of China
Beijing Natural Science Foundation
Beijing Nova Program
outh Innovation Promotion Association, Chinese Academy of Sciences
Publisher
Association for Computing Machinery (ACM)
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