Experimental study of rough surface backscattering for low terahertz automotive radar

Aleksandr Bystrov; Edward Hoare; Marina Gashinova; Mikhail Cherniakov; Thuy Yung Tran

doi:10.23919/IRS.2019.8768126

Experimental study of rough surface backscattering for low terahertz automotive radar

Aleksandr Bystrov, Edward Hoare, Marina Gashinova, Mikhail Cherniakov, Thuy Yung Tran

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper experimentally examines backscattering of electromagnetic signals with frequencies of 79 GHz, 300 GHz, and 680 GHz from surfaces with different roughness. It is shown that signals in the low-Terahertz range have enhanced capabilities for evaluating surface roughness. The results provide the basis for creating remote surface identification system for automotive use, which will be of particular advantage in surface classification, object classification and path determination in autonomous automotive vehicle operation.

Original language	English
Title of host publication	2019 20th International Radar Symposium, IRS 2019
Editors	Peter Knott
Publisher	IEEE Computer Society Press
ISBN (Electronic)	9783736998605
DOIs	https://doi.org/10.23919/IRS.2019.8768126
Publication status	Published - Jun 2019
Event	20th International Radar Symposium, IRS 2019 - Ulm, Germany Duration: 26 Jun 2019 → 28 Jun 2019

Publication series

Name	Proceedings International Radar Symposium
Volume	2019-June
ISSN (Print)	2155-5753

Conference

Conference	20th International Radar Symposium, IRS 2019
Country/Territory	Germany
City	Ulm
Period	26/06/19 → 28/06/19

Bibliographical note

Publisher Copyright:
© 2019 German Institute of Navigation (DGON).

ASJC Scopus subject areas

Computer Networks and Communications
Computer Science Applications
Signal Processing
Electrical and Electronic Engineering
Astronomy and Astrophysics
Instrumentation

Access to Document

10.23919/IRS.2019.8768126

Cite this

Bystrov, A., Hoare, E., Gashinova, M., Cherniakov, M., & Tran, T. Y. (2019). Experimental study of rough surface backscattering for low terahertz automotive radar. In P. Knott (Ed.), 2019 20th International Radar Symposium, IRS 2019 Article 8768126 (Proceedings International Radar Symposium; Vol. 2019-June). IEEE Computer Society Press. https://doi.org/10.23919/IRS.2019.8768126

@inproceedings{cbc7ce56832c4c31b58d5b32f9f129cc,

title = "Experimental study of rough surface backscattering for low terahertz automotive radar",

abstract = "This paper experimentally examines backscattering of electromagnetic signals with frequencies of 79 GHz, 300 GHz, and 680 GHz from surfaces with different roughness. It is shown that signals in the low-Terahertz range have enhanced capabilities for evaluating surface roughness. The results provide the basis for creating remote surface identification system for automotive use, which will be of particular advantage in surface classification, object classification and path determination in autonomous automotive vehicle operation.",

author = "Aleksandr Bystrov and Edward Hoare and Marina Gashinova and Mikhail Cherniakov and Tran, {Thuy Yung}",

note = "Publisher Copyright: {\textcopyright} 2019 German Institute of Navigation (DGON).; 20th International Radar Symposium, IRS 2019 ; Conference date: 26-06-2019 Through 28-06-2019",

year = "2019",

month = jun,

doi = "10.23919/IRS.2019.8768126",

language = "English",

series = "Proceedings International Radar Symposium",

publisher = "IEEE Computer Society Press",

editor = "Peter Knott",

booktitle = "2019 20th International Radar Symposium, IRS 2019",

}

Bystrov, A, Hoare, E , Gashinova, M , Cherniakov, M & Tran, TY 2019, Experimental study of rough surface backscattering for low terahertz automotive radar. in P Knott (ed.), 2019 20th International Radar Symposium, IRS 2019., 8768126, Proceedings International Radar Symposium, vol. 2019-June, IEEE Computer Society Press, 20th International Radar Symposium, IRS 2019, Ulm, Germany, 26/06/19. https://doi.org/10.23919/IRS.2019.8768126

Experimental study of rough surface backscattering for low terahertz automotive radar. / Bystrov, Aleksandr; Hoare, Edward ; Gashinova, Marina et al.
2019 20th International Radar Symposium, IRS 2019. ed. / Peter Knott. IEEE Computer Society Press, 2019. 8768126 (Proceedings International Radar Symposium; Vol. 2019-June).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T1 - Experimental study of rough surface backscattering for low terahertz automotive radar

AU - Bystrov, Aleksandr

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AU - Tran, Thuy Yung

PY - 2019/6

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N2 - This paper experimentally examines backscattering of electromagnetic signals with frequencies of 79 GHz, 300 GHz, and 680 GHz from surfaces with different roughness. It is shown that signals in the low-Terahertz range have enhanced capabilities for evaluating surface roughness. The results provide the basis for creating remote surface identification system for automotive use, which will be of particular advantage in surface classification, object classification and path determination in autonomous automotive vehicle operation.

AB - This paper experimentally examines backscattering of electromagnetic signals with frequencies of 79 GHz, 300 GHz, and 680 GHz from surfaces with different roughness. It is shown that signals in the low-Terahertz range have enhanced capabilities for evaluating surface roughness. The results provide the basis for creating remote surface identification system for automotive use, which will be of particular advantage in surface classification, object classification and path determination in autonomous automotive vehicle operation.

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Y2 - 26 June 2019 through 28 June 2019

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Experimental study of rough surface backscattering for low terahertz automotive radar

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus subject areas

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Cite this