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

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

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-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 publication30th European Signal Processing Conference, EUSIPCO 2022 - Proceedings
PublisherEuropean Association For Signal and Imag Processing
Pages1916-1920
Number of pages5
ISBN (Electronic)978-90-827970-9-1
DOIs
Publication statusPublished - 2022
MoE publication typeA4 Conference publication
EventEuropean Signal Processing Conference - Belgrade, Serbia
Duration: 29 Aug 20222 Sept 2022
Conference number: 30
https://2022.eusipco.org/

Publication series

NameEuropean Signal Processing Conference
Volume2022-August
ISSN (Print)2219-5491

Conference

ConferenceEuropean Signal Processing Conference
Abbreviated titleEUSIPCO
Country/TerritorySerbia
CityBelgrade
Period29/08/202202/09/2022
Internet address

Keywords

  • FMCW
  • LIS
  • machine learning
  • mmWave
  • radar
  • Sensing

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