Speeding up imaging over BP for automotive radar: High-resolution algorithm with multi-frame data

Sen Yuan*, Francesco Fioranelli, Alexander Yarovoy

*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

Abstract

One of the key problems in automotive radar is its limited cross-range resolution, despite many approaches developed to address this. Conventional high-resolution algorithms in synthetic aperture radar (SAR) can provide good resolution imaging ability but suffer from high computational costs. In this paper, a computationally efficient high-resolution imaging algorithm is proposed, easing its potential implementation for higher throughput. The proposed approach is verified with experimental data of realistic driving scenarios.

Original languageEnglish
Title of host publicationProceedings of the 2024 21st European Radar Conference (EuRAD)
PublisherIEEE
Pages204-207
Number of pages4
ISBN (Electronic)978-2-87487-079-8
ISBN (Print)979-8-3503-8513-7
DOIs
Publication statusPublished - 2024
Event21st European Radar Conference, EuRAD 2024 - Paris, France
Duration: 25 Sept 202427 Sept 2024

Conference

Conference21st European Radar Conference, EuRAD 2024
Country/TerritoryFrance
CityParis
Period25/09/2427/09/24

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

  • automotive radar
  • direction of arrival estimation
  • high-resolution imaging
  • MIMO array

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