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

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A4 Artikkeli konferenssijulkaisussa
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Date

2022

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Language

en

Pages

5
1916-1920

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2022 30th European Signal Processing Conference (EUSIPCO)

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.

Description

| openaire: EC/H2020/813999/EU//WINDMILL

Keywords

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

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Citation

Vaca-Rubio, C J, Salami, D, Popovski, P, Carvalho, E D, Tan, Z -H & Sigg, S 2022, User Localization using RF Sensing: A Performance comparison between LIS and mmWave Radars . in 2022 30th European Signal Processing Conference (EUSIPCO) . European Signal Processing Conference, IEEE, pp. 1916-1920, European Signal Processing Conference, Belgrade, Serbia, 29/08/2022 . https://doi.org/10.23919/EUSIPCO55093.2022.9909583