@inproceedings{3c3a1d7d691d4d27977f6d64312953e8,
title = "User Localization using RF Sensing: A Performance comparison between LIS and mmWave Radars",
abstract = "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.",
keywords = "Location awareness, Radio frequency, Performance evaluation, Radar detection, Intrusion detection, Massive MIMO, Sensors",
author = "Vaca-Rubio, {Cristian J.} and Dariush Salami and Petar Popovski and Carvalho, {Elisabeth De} and Zheng-Hua Tan and Stephan Sigg",
year = "2022",
month = sep,
day = "2",
doi = "10.23919/EUSIPCO55093.2022.9909583",
language = "English",
isbn = "978-1-6654-6799-5",
series = "Proceedings of the European Signal Processing Conference",
publisher = "IEEE Communications Society",
pages = "1916--1920",
booktitle = "2022 30th European Signal Processing Conference (EUSIPCO)",
address = "United States",
note = "2022 30th European Signal Processing Conference (EUSIPCO) ; Conference date: 29-08-2022 Through 02-09-2022",
}