Compressive Sensing for Automotive 300GHz 3D Imaging Radar

Dominic Phippen; Liam Daniel; Edward Hoare; Mikhail Cherniakov; Marina Gashinova

doi:10.1109/RadarConf2043947.2020.9266532

Compressive Sensing for Automotive 300GHz 3D Imaging Radar

Dominic Phippen, Liam Daniel, Edward Hoare, Mikhail Cherniakov, Marina Gashinova

Electronic, Electrical and Systems Engineering

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

Abstract

Novel 3D radar imaging techniques exploiting extremely wide band signals in the low-THz (0.1-1 THz) radar band is proposed and experimentally verified in this paper. This paper provides comparative analysis of the abilities of three imaging techniques with varying levels of sophistication: bilateration, backprojection, and elastic net. These techniques are applied to a 300GHz radar and results are discussed.

Original language	English
Title of host publication	2020 IEEE Radar Conference, RadarConf 2020
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
ISBN (Electronic)	9781728189420
DOIs	https://doi.org/10.1109/RadarConf2043947.2020.9266532
Publication status	Published - 21 Sept 2020
Event	2020 IEEE Radar Conference, RadarConf 2020 - Florence, Italy Duration: 21 Sept 2020 → 25 Sept 2020

Publication series

Name	IEEE National Radar Conference - Proceedings
Volume	2020-September
ISSN (Print)	1097-5659

Conference

Conference	2020 IEEE Radar Conference, RadarConf 2020
Country/Territory	Italy
City	Florence
Period	21/09/20 → 25/09/20

Bibliographical note

Funding Information:
VIII. ACKNOWLEDGEMENTS This work was supported by Jaguar Land Rover and the UK-EPSRC grant EP/N012372/1 as part of the jointly funded Towards Autonomy: Smart and Connected Control (TASCC) Programme.

Publisher Copyright:
© 2020 IEEE.

Keywords

3D
automotive
backprojection
bilateration
compressive sensing
elastic net
height-finding
low-THz
Radar

ASJC Scopus subject areas

Electrical and Electronic Engineering

Access to Document

10.1109/RadarConf2043947.2020.9266532

Cite this

Phippen, D., Daniel, L., Hoare, E., Cherniakov, M., & Gashinova, M. (2020). Compressive Sensing for Automotive 300GHz 3D Imaging Radar. In 2020 IEEE Radar Conference, RadarConf 2020 Article 9266532 (IEEE National Radar Conference - Proceedings; Vol. 2020-September). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/RadarConf2043947.2020.9266532

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abstract = "Novel 3D radar imaging techniques exploiting extremely wide band signals in the low-THz (0.1-1 THz) radar band is proposed and experimentally verified in this paper. This paper provides comparative analysis of the abilities of three imaging techniques with varying levels of sophistication: bilateration, backprojection, and elastic net. These techniques are applied to a 300GHz radar and results are discussed.",

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note = "Funding Information: VIII. ACKNOWLEDGEMENTS This work was supported by Jaguar Land Rover and the UK-EPSRC grant EP/N012372/1 as part of the jointly funded Towards Autonomy: Smart and Connected Control (TASCC) Programme. Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE Radar Conference, RadarConf 2020 ; Conference date: 21-09-2020 Through 25-09-2020",

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Phippen, D, Daniel, L , Hoare, E , Cherniakov, M & Gashinova, M 2020, Compressive Sensing for Automotive 300GHz 3D Imaging Radar. in 2020 IEEE Radar Conference, RadarConf 2020., 9266532, IEEE National Radar Conference - Proceedings, vol. 2020-September, Institute of Electrical and Electronics Engineers (IEEE), 2020 IEEE Radar Conference, RadarConf 2020, Florence, Italy, 21/09/20. https://doi.org/10.1109/RadarConf2043947.2020.9266532

Compressive Sensing for Automotive 300GHz 3D Imaging Radar. / Phippen, Dominic; Daniel, Liam ; Hoare, Edward et al.
2020 IEEE Radar Conference, RadarConf 2020. Institute of Electrical and Electronics Engineers (IEEE), 2020. 9266532 (IEEE National Radar Conference - Proceedings; Vol. 2020-September).

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

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Compressive Sensing for Automotive 300GHz 3D Imaging Radar

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

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Cite this