Hardware acceleration of Maximum-Likelihood angle estimation for automotive MIMO radars

Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review

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OriginalspracheEnglisch
Titel des SammelwerksProceedings of the 2016 Conference on Design and Architectures for Signal and Image Processing
UntertitelDASIP
Herausgeber/-innenJean-Francois Nezan
Herausgeber (Verlag)IEEE Computer Society
Seiten168-175
Seitenumfang8
ISBN (elektronisch)9791092279153
ISBN (Print)978-1-5090-3085-9
PublikationsstatusVeröffentlicht - 16 Feb. 2017
Veranstaltung2016 Conference on Design and Architectures for Signal and Image Processing, DASIP 2016 - Rennes, Frankreich
Dauer: 12 Okt. 2016 → 14 Okt. 2016

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Hardware acceleration of Maximum-Likelihood angle estimation for automotive MIMO radars. / Meinl, Frank; Kunert, Martin; Blume, Holger.
Proceedings of the 2016 Conference on Design and Architectures for Signal and Image Processing: DASIP. Hrsg. / Jean-Francois Nezan. IEEE Computer Society, 2017. S. 168-175.

Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review

Meinl, F, Kunert, M & Blume, H 2017, Hardware acceleration of Maximum-Likelihood angle estimation for automotive MIMO radars. in J-F Nezan (Hrsg.), Proceedings of the 2016 Conference on Design and Architectures for Signal and Image Processing: DASIP. IEEE Computer Society, S. 168-175, 2016 Conference on Design and Architectures for Signal and Image Processing, DASIP 2016, Rennes, Frankreich, 12 Okt. 2016. https://doi.org/10.1109/DASIP.2016.7853815
Meinl, F., Kunert, M., & Blume, H. (2017). Hardware acceleration of Maximum-Likelihood angle estimation for automotive MIMO radars. In J.-F. Nezan (Hrsg.), Proceedings of the 2016 Conference on Design and Architectures for Signal and Image Processing: DASIP (S. 168-175). IEEE Computer Society. https://doi.org/10.1109/DASIP.2016.7853815
Meinl F, Kunert M, Blume H. Hardware acceleration of Maximum-Likelihood angle estimation for automotive MIMO radars. in Nezan JF, Hrsg., Proceedings of the 2016 Conference on Design and Architectures for Signal and Image Processing: DASIP. IEEE Computer Society. 2017. S. 168-175 doi: 10.1109/DASIP.2016.7853815
Meinl, Frank ; Kunert, Martin ; Blume, Holger. / Hardware acceleration of Maximum-Likelihood angle estimation for automotive MIMO radars. Proceedings of the 2016 Conference on Design and Architectures for Signal and Image Processing: DASIP. Hrsg. / Jean-Francois Nezan. IEEE Computer Society, 2017. S. 168-175
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title = "Hardware acceleration of Maximum-Likelihood angle estimation for automotive MIMO radars",
keywords = "Automotive radar, CORDIC, direction of arrival, driver assistance, FPGA, hardware accelerator, maximum-likelihood estimation, radar signal processing",
author = "Frank Meinl and Martin Kunert and Holger Blume",
note = "Publisher Copyright: {\textcopyright} 2016 ECSI. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 2016 Conference on Design and Architectures for Signal and Image Processing, DASIP 2016 ; Conference date: 12-10-2016 Through 14-10-2016",
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T1 - Hardware acceleration of Maximum-Likelihood angle estimation for automotive MIMO radars

AU - Meinl, Frank

AU - Kunert, Martin

AU - Blume, Holger

N1 - Publisher Copyright: © 2016 ECSI. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.

PY - 2017/2/16

Y1 - 2017/2/16

KW - Automotive radar

KW - CORDIC

KW - direction of arrival

KW - driver assistance

KW - FPGA

KW - hardware accelerator

KW - maximum-likelihood estimation

KW - radar signal processing

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DO - 10.1109/DASIP.2016.7853815

M3 - Conference contribution

AN - SCOPUS:85014449940

SN - 978-1-5090-3085-9

SP - 168

EP - 175

BT - Proceedings of the 2016 Conference on Design and Architectures for Signal and Image Processing

A2 - Nezan, Jean-Francois

PB - IEEE Computer Society

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