LiqDetector

IF 3.6 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Zhu Wang, Yifan Guo, Zhihui Ren, Wenchao Song, Zhuo Sun, Chaoxiong Chen, Bin Guo, Zhiwen Yu
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引用次数: 0

Abstract

With the advancement of wireless sensing technologies, RF-based contact-less liquid detection attracts more and more attention. Compared with other RF devices, the mmWave radar has the advantages of large bandwidth and low cost. While existing radar-based liquid detection systems demonstrate promising performance, they still have a shortcoming that in the detection result depends on container-related factors (e.g., container placement, container caliber, and container material). In this paper, to enable container-independent liquid detection with a COTS mmWave radar, we propose a dual-reflection model by exploring reflections from different interfaces of the liquid container. Specifically, we design a pair of amplitude ratios based on the signals reflected from different interfaces, and theoretically demonstrate how the refractive index of liquids can be estimated by eliminating the container's impact. To validate the proposed approach, we implement a liquid detection system LiqDetector. Experimental results show that LiqDetector achieves cross-container estimation of the liquid's refractive index with a mean absolute percentage error (MAPE) of about 4.4%. Moreover, the classification accuracies for 6 different liquids and alcohol with different strengths (even a difference of 1%) exceed 96% and 95%, respectively. To the best of our knowledge, this is the first study that achieves container-independent liquid detection based on the COTS mmWave radar by leveraging only one pair of Tx-Rx antennas.
LiqDetector
随着无线传感技术的发展,基于射频的非接触式液体检测技术越来越受到人们的关注。与其他射频设备相比,毫米波雷达具有带宽大、成本低的优点。虽然现有的基于雷达的液体检测系统性能良好,但仍存在检测结果取决于容器相关因素(如容器位置、容器口径和容器材料)的缺陷。在本文中,为了利用 COTS mmWave 雷达实现与容器无关的液体检测,我们通过探索液体容器不同界面的反射,提出了一种双反射模型。具体来说,我们根据不同界面反射的信号设计了一对振幅比,并从理论上证明了如何通过消除容器的影响来估计液体的折射率。为了验证所提出的方法,我们实现了液体检测系统 LiqDetector。实验结果表明,LiqDetector 实现了液体折射率的跨容器估计,平均绝对百分比误差(MAPE)约为 4.4%。此外,对 6 种不同强度的液体和酒精(即使相差 1%)的分类准确率分别超过 96% 和 95%。据我们所知,这是首次基于 COTS mmWave 雷达,仅利用一对 Tx-Rx 天线就能实现不受容器影响的液体检测的研究。
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来源期刊
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies Computer Science-Computer Networks and Communications
CiteScore
9.10
自引率
0.00%
发文量
154
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