User Localization using RF Sensing: A Performance comparison between LIS and mmWave Radars

C. J. Vaca-Rubio, D. Salami, P. Popovski, E. De Carvalho, Z. -H. Tan, S. Sigg

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review


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.
Original languageEnglish
Title of host publication2022 30th European Signal Processing Conference (EUSIPCO)
Number of pages5
ISBN (Electronic)978-90-827970-9-1
ISBN (Print)978-1-6654-6799-5
Publication statusPublished - 2022
MoE publication typeA4 Conference publication
EventEuropean Signal Processing Conference - Belgrade, Serbia
Duration: 29 Aug 20222 Sept 2022
Conference number: 30

Publication series

NameEuropean Signal Processing Conference
ISSN (Electronic)2076-1465


ConferenceEuropean Signal Processing Conference
Abbreviated titleEUSIPCO
Internet address


  • Location awareness
  • Radio frequency
  • Performance evaluation
  • Radar detection
  • Intrusion detection
  • Massive MIMO
  • Sensors
  • Sensing
  • machine learning
  • US
  • mmWave
  • radar
  • FMCW


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