论文标题
使用RF传感的用户本地化：LIS和MMWAVE雷达之间的性能比较
User Localization using RF Sensing: A Performance comparison between LIS and mmWave Radars
论文作者
论文摘要
Since electromagnetic signals are omnipresent, Radio Frequency (RF)-sensing has the potential to become a universal sensing mechanism with applications in localization, smart-home, retail, gesture recognition, intrusion detection, etc. Two emerging technologies in RF-sensing, namely sensing through Large Intelligent Surfaces (LISs) and mmWave Frequency-Modulated Continuous-Wave (FMCW) radars, have been successfully应用于广泛的应用。在这项工作中，我们比较了在现实世界和模拟环境中本地化的LIS和MMWAVE雷达。在我们的实验中，MMWave雷达在联合（IOU）上达到0.71的交叉点，而3厘米的界限对于边界框的误差，而LIS的误差为0.56 IOU和10厘米距离误差。尽管雷达在准确性方面胜过LIS，但LIS除了传感方案外，还具有通信中的其他应用。
Since electromagnetic signals are omnipresent, Radio Frequency (RF)-sensing has the potential to become a universal sensing mechanism with applications in localization, smart-home, retail, gesture recognition, intrusion detection, etc. Two emerging technologies in RF-sensing, namely sensing through Large Intelligent Surfaces (LISs) and mmWave Frequency-Modulated Continuous-Wave (FMCW) radars, have been successfully applied to a wide range of applications. In this work, we compare LIS and mmWave radars for localization in real-world and simulated environments. In our experiments, the mmWave radar achieves 0.71 Intersection Over Union (IOU) and 3cm error for bounding boxes, while LIS has 0.56 IOU and 10cm distance error. Although the radar outperforms the LIS in terms of accuracy, LIS features additional applications in communication in addition to sensing scenarios.
