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

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Authors

Research Organisations

External Research Organisations

  • Robert Bosch GmbH
View graph of relations

Details

Original languageEnglish
Title of host publicationProceedings of the 2016 Conference on Design and Architectures for Signal and Image Processing
Subtitle of host publicationDASIP
EditorsJean-Francois Nezan
PublisherIEEE Computer Society
Pages168-175
Number of pages8
ISBN (electronic)9791092279153
ISBN (print)978-1-5090-3085-9
Publication statusPublished - 16 Feb 2017
Event2016 Conference on Design and Architectures for Signal and Image Processing, DASIP 2016 - Rennes, France
Duration: 12 Oct 201614 Oct 2016

Keywords

    Automotive radar, CORDIC, direction of arrival, driver assistance, FPGA, hardware accelerator, maximum-likelihood estimation, radar signal processing

ASJC Scopus subject areas

Cite this

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. ed. / Jean-Francois Nezan. IEEE Computer Society, 2017. p. 168-175.

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Meinl, F, Kunert, M & Blume, H 2017, Hardware acceleration of Maximum-Likelihood angle estimation for automotive MIMO radars. in J-F Nezan (ed.), Proceedings of the 2016 Conference on Design and Architectures for Signal and Image Processing: DASIP. IEEE Computer Society, pp. 168-175, 2016 Conference on Design and Architectures for Signal and Image Processing, DASIP 2016, Rennes, France, 12 Oct 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 (Ed.), Proceedings of the 2016 Conference on Design and Architectures for Signal and Image Processing: DASIP (pp. 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, editor, Proceedings of the 2016 Conference on Design and Architectures for Signal and Image Processing: DASIP. IEEE Computer Society. 2017. p. 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. editor / Jean-Francois Nezan. IEEE Computer Society, 2017. pp. 168-175
Download
@inproceedings{a1887514547f49d993681b22f7095e35,
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",
year = "2017",
month = feb,
day = "16",
doi = "10.1109/DASIP.2016.7853815",
language = "English",
isbn = "978-1-5090-3085-9",
pages = "168--175",
editor = "Jean-Francois Nezan",
booktitle = "Proceedings of the 2016 Conference on Design and Architectures for Signal and Image Processing",
publisher = "IEEE Computer Society",
address = "United States",

}

Download

TY - GEN

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

UR - http://www.scopus.com/inward/record.url?scp=85014449940&partnerID=8YFLogxK

U2 - 10.1109/DASIP.2016.7853815

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

T2 - 2016 Conference on Design and Architectures for Signal and Image Processing, DASIP 2016

Y2 - 12 October 2016 through 14 October 2016

ER -

By the same author(s)