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 language | English |
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Title of host publication | Proceedings of the 2024 21st European Radar Conference (EuRAD) |
Publisher | IEEE |
Pages | 204-207 |
Number of pages | 4 |
ISBN (Electronic) | 978-2-87487-079-8 |
ISBN (Print) | 979-8-3503-8513-7 |
DOIs | |
Publication status | Published - 2024 |
Event | 21st European Radar Conference, EuRAD 2024 - Paris, France Duration: 25 Sept 2024 → 27 Sept 2024 |
Conference
Conference | 21st European Radar Conference, EuRAD 2024 |
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Country/Territory | France |
City | Paris |
Period | 25/09/24 → 27/09/24 |
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-careOtherwise 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