Embracing LoRa Sensing with Device Mobility
Embracing LoRa Sensing with Device Mobility
复制标题
DOI：
10.1145/3560905.3568524
复制
发表时间：
2022-11
期刊：
影响因子：
--
通讯作者：
Binbin Xie;Deepak Ganesan;Jie Xiong
中科院分区：
文献类型：
--
作者：
Binbin Xie;Deepak Ganesan;Jie Xiong
无线传感技术是一种新兴的技术，可以以非接触的方式获取人体目标的丰富上下文信息。虽然很有前途，但当前无线感测的一个缺失组件是在设备运动下进行感测。在这项工作中，我们建议将无线传感与机器人的移动性。这是不平凡的，因为我们发现，设备运动可以严重降低传感性能，甚至完全失败现有的无线传感系统。在本文中，我们提出了新的信号处理方案，以解决设备运动的影响，使传感与设备的移动性。我们首次将机器人的移动性与LoRa传感集成在一起，以扩大传感覆盖范围。综合实验证明了该系统的有效性。我们采用两种代表性的传感应用，即，细粒度的呼吸监测和粗粒度的人类行走传感，以展示我们的系统的性能。所提出的系统能够在存在设备运动的情况下实现准确的感测，使无线感测朝着真正无处不在的感测前进了一步。
Wireless sensing is an emerging technology that can obtain rich context information of human targets in a contact-free manner. Though promising, a missing component of current wireless sensing is sensing under device motions. In this work, we propose to integrate wireless sensing with the mobility of a robot. This is non-trivial because we find that device motions can severely degrade the sensing performance and even completely fail existing wireless sensing systems. In this paper, we propose novel signal processing schemes to address the impact of device motions to enable sensing with device mobility. For the first time, we integrate the robot's mobility with LoRa sensing to enlarge the sensing coverage. Comprehensive experiments demonstrate the effectiveness of the proposed system. We employ two representative sensing applications, i.e., fine-grained respiration monitoring and coarse-grained human walking sensing, to showcase the performance of our system. The proposed system is able to achieve accurate sensing in the presence of device motions, moving wireless sensing one step forward towards truly ubiquitous sensing for real-life adoption.