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

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussaConference article in proceedingsScientificvertaisarvioitu

Abstrakti

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.

AlkuperäiskieliEnglanti
Otsikko30th European Signal Processing Conference, EUSIPCO 2022 - Proceedings
KustantajaEuropean Association For Signal and Imag Processing
Sivut1916-1920
Sivumäärä5
ISBN (elektroninen)978-90-827970-9-1
DOI - pysyväislinkit
TilaJulkaistu - 2022
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaEuropean Signal Processing Conference - Belgrade, Serbia
Kesto: 29 elok. 20222 syysk. 2022
Konferenssinumero: 30
https://2022.eusipco.org/

Julkaisusarja

NimiEuropean Signal Processing Conference
Vuosikerta2022-August
ISSN (painettu)2219-5491

Conference

ConferenceEuropean Signal Processing Conference
LyhennettäEUSIPCO
Maa/AlueSerbia
KaupunkiBelgrade
Ajanjakso29/08/202202/09/2022
www-osoite

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