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

Cristian J. Vaca-Rubio, Dariush Salami, Petar Popovski, Elisabeth De Carvalho, Zheng-Hua Tan, Stephan Sigg

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

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.
Original languageEnglish
Title of host publication2022 30th European Signal Processing Conference (EUSIPCO)
Number of pages5
PublisherIEEE Communications Society
Publication date2 Sept 2022
Pages1916-1920
Article number9909583
ISBN (Print)978-1-6654-6799-5, 978-90-827970-8-4
ISBN (Electronic)978-90-827970-9-1
DOIs
Publication statusPublished - 2 Sept 2022
Event2022 30th European Signal Processing Conference (EUSIPCO) - Belgrade, Serbia
Duration: 29 Aug 20222 Sept 2022

Conference

Conference2022 30th European Signal Processing Conference (EUSIPCO)
LocationBelgrade, Serbia
Period29/08/202202/09/2022
SeriesProceedings of the European Signal Processing Conference
ISSN2076-1465

Keywords

  • Location awareness
  • Radio frequency
  • Performance evaluation
  • Radar detection
  • Intrusion detection
  • Massive MIMO
  • Sensors

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