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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

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
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