Signal Reduction Due to Layer of Water at Low-THz Frequency for Automotive Radar Applications

Shahrzad Sabery, Fatemeh Norouzian, Aleksandr Bystrov, Emidio Marchetti, Peter Gardner, Marina Gashinova

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Low-Terahertz (Low-THz) radar is the new research trend for automotive applications, as it can provide higher image resolution compared to traditional automotive radars. The knowledge of the performance of radars in harsh and uncontrolled outdoor environment is fundamentally important for the development of automotive sensors. The presence of water causes losses in the propagation channel, therefore in our study the transmissivity through uniform layer of pure water, salty water with different levels of salt and actual seawater is measured at 300 GHz and 670 GHz. The measured results show good agreement with the theoretical model based on Fresnel reflection and transmission theory. The importance of our results is the demonstration of the potential of Low-THz automotive sensors in harsh and uncontrollable outdoor environment.

Original languageEnglish
Title of host publication2021 18th European Radar Conference (EuRAD)
PublisherIEEE
Pages78-81
Number of pages4
ISBN (Electronic)9782874870651
ISBN (Print)9781665447232 (PoD)
DOIs
Publication statusPublished - 2 Jun 2022
Event18th European Radar Conference, EuRAD 2021 - London, United Kingdom
Duration: 5 Apr 20227 Apr 2022

Publication series

NameEuropean Radar Conference (EURAD)

Conference

Conference18th European Radar Conference, EuRAD 2021
Country/TerritoryUnited Kingdom
CityLondon
Period5/04/227/04/22

Bibliographical note

Funding Information:
This work is supported by the Engineering and Physical Sciences Research Council (EPSRC), Grant EP/P020615/1.

Publisher Copyright:
© 2022 European Microwave Association (EuMA).

Keywords

  • automotive applications
  • millimeter wave propagation
  • millimeter wave radar
  • permittivity

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Instrumentation

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