3D Multiple Input Single Output Near Field Automotive Synthetic Aperture Radar

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Autoren

Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Titel des Sammelwerks2017 18th International Radar Symposium
UntertitelIRS 2017
Herausgeber/-innenHermann Rohling
Herausgeber (Verlag)IEEE Computer Society
ISBN (elektronisch)9783736993433
PublikationsstatusVeröffentlicht - Aug. 2017
Veranstaltung18th International Radar Symposium, IRS 2017 - Prague, Tschechische Republik
Dauer: 28 Juni 201730 Juni 2017

Publikationsreihe

NameProceedings International Radar Symposium
ISSN (Print)2155-5753

Abstract

Radar sensors play an important role in the technology field of autonomous driving. In contrast to optical cameras, they work reliable by night, mist, snow and fog. Recent radar sensors have problems in near-field scenarios. In this paper, we investigate how the technique of synthetic aperture radar (SAR) can be used to reconstruct the 3D near-field environment up to 30m with several physical radar sensors using the global backprojection algorithm. The main challenge applying SAR to an automotive 77 GHz radar sensor with 2 GHz bandwidth and a short sweep duration of 10 μs is to avoid azimuth aliasing, which means avoiding ghost targets. In the case of monostatic SAR, the sensors have to be placed 1mm next to each other, which is unrealistic in practice. By using multiple input single output (MISO) sensors arranged in a circular manner we increase this distance to 4 cm, which is now feasible in practice. This sensor arrangement enables applying SAR to near-field automotive applications.

ASJC Scopus Sachgebiete

Zitieren

3D Multiple Input Single Output Near Field Automotive Synthetic Aperture Radar. / Sommer, Aron; Ngo, Tri Tan; Ostermann, Jörn.
2017 18th International Radar Symposium: IRS 2017. Hrsg. / Hermann Rohling. IEEE Computer Society, 2017. 8008121 (Proceedings International Radar Symposium).

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Sommer, A, Ngo, TT & Ostermann, J 2017, 3D Multiple Input Single Output Near Field Automotive Synthetic Aperture Radar. in H Rohling (Hrsg.), 2017 18th International Radar Symposium: IRS 2017., 8008121, Proceedings International Radar Symposium, IEEE Computer Society, 18th International Radar Symposium, IRS 2017, Prague, Tschechische Republik, 28 Juni 2017. https://doi.org/10.23919/irs.2017.8008121
Sommer, A., Ngo, T. T., & Ostermann, J. (2017). 3D Multiple Input Single Output Near Field Automotive Synthetic Aperture Radar. In H. Rohling (Hrsg.), 2017 18th International Radar Symposium: IRS 2017 Artikel 8008121 (Proceedings International Radar Symposium). IEEE Computer Society. https://doi.org/10.23919/irs.2017.8008121
Sommer A, Ngo TT, Ostermann J. 3D Multiple Input Single Output Near Field Automotive Synthetic Aperture Radar. in Rohling H, Hrsg., 2017 18th International Radar Symposium: IRS 2017. IEEE Computer Society. 2017. 8008121. (Proceedings International Radar Symposium). doi: 10.23919/irs.2017.8008121
Sommer, Aron ; Ngo, Tri Tan ; Ostermann, Jörn. / 3D Multiple Input Single Output Near Field Automotive Synthetic Aperture Radar. 2017 18th International Radar Symposium: IRS 2017. Hrsg. / Hermann Rohling. IEEE Computer Society, 2017. (Proceedings International Radar Symposium).
Download
@inproceedings{9507cea43a5049ec8d697047a7f688fd,
title = "3D Multiple Input Single Output Near Field Automotive Synthetic Aperture Radar",
abstract = "Radar sensors play an important role in the technology field of autonomous driving. In contrast to optical cameras, they work reliable by night, mist, snow and fog. Recent radar sensors have problems in near-field scenarios. In this paper, we investigate how the technique of synthetic aperture radar (SAR) can be used to reconstruct the 3D near-field environment up to 30m with several physical radar sensors using the global backprojection algorithm. The main challenge applying SAR to an automotive 77 GHz radar sensor with 2 GHz bandwidth and a short sweep duration of 10 μs is to avoid azimuth aliasing, which means avoiding ghost targets. In the case of monostatic SAR, the sensors have to be placed 1mm next to each other, which is unrealistic in practice. By using multiple input single output (MISO) sensors arranged in a circular manner we increase this distance to 4 cm, which is now feasible in practice. This sensor arrangement enables applying SAR to near-field automotive applications.",
author = "Aron Sommer and Ngo, {Tri Tan} and J{\"o}rn Ostermann",
year = "2017",
month = aug,
doi = "10.23919/irs.2017.8008121",
language = "English",
series = "Proceedings International Radar Symposium",
publisher = "IEEE Computer Society",
editor = "Hermann Rohling",
booktitle = "2017 18th International Radar Symposium",
address = "United States",
note = "18th International Radar Symposium, IRS 2017 ; Conference date: 28-06-2017 Through 30-06-2017",

}

Download

TY - GEN

T1 - 3D Multiple Input Single Output Near Field Automotive Synthetic Aperture Radar

AU - Sommer, Aron

AU - Ngo, Tri Tan

AU - Ostermann, Jörn

PY - 2017/8

Y1 - 2017/8

N2 - Radar sensors play an important role in the technology field of autonomous driving. In contrast to optical cameras, they work reliable by night, mist, snow and fog. Recent radar sensors have problems in near-field scenarios. In this paper, we investigate how the technique of synthetic aperture radar (SAR) can be used to reconstruct the 3D near-field environment up to 30m with several physical radar sensors using the global backprojection algorithm. The main challenge applying SAR to an automotive 77 GHz radar sensor with 2 GHz bandwidth and a short sweep duration of 10 μs is to avoid azimuth aliasing, which means avoiding ghost targets. In the case of monostatic SAR, the sensors have to be placed 1mm next to each other, which is unrealistic in practice. By using multiple input single output (MISO) sensors arranged in a circular manner we increase this distance to 4 cm, which is now feasible in practice. This sensor arrangement enables applying SAR to near-field automotive applications.

AB - Radar sensors play an important role in the technology field of autonomous driving. In contrast to optical cameras, they work reliable by night, mist, snow and fog. Recent radar sensors have problems in near-field scenarios. In this paper, we investigate how the technique of synthetic aperture radar (SAR) can be used to reconstruct the 3D near-field environment up to 30m with several physical radar sensors using the global backprojection algorithm. The main challenge applying SAR to an automotive 77 GHz radar sensor with 2 GHz bandwidth and a short sweep duration of 10 μs is to avoid azimuth aliasing, which means avoiding ghost targets. In the case of monostatic SAR, the sensors have to be placed 1mm next to each other, which is unrealistic in practice. By using multiple input single output (MISO) sensors arranged in a circular manner we increase this distance to 4 cm, which is now feasible in practice. This sensor arrangement enables applying SAR to near-field automotive applications.

UR - http://www.scopus.com/inward/record.url?scp=85028620025&partnerID=8YFLogxK

U2 - 10.23919/irs.2017.8008121

DO - 10.23919/irs.2017.8008121

M3 - Conference contribution

AN - SCOPUS:85028620025

T3 - Proceedings International Radar Symposium

BT - 2017 18th International Radar Symposium

A2 - Rohling, Hermann

PB - IEEE Computer Society

T2 - 18th International Radar Symposium, IRS 2017

Y2 - 28 June 2017 through 30 June 2017

ER -

Von denselben Autoren