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 |
|---|---|
| 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 |
|---|---|
| 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
Fingerprint
Dive into the research topics of 'Speeding up imaging over BP for automotive radar: High-resolution algorithm with multi-frame data'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver