Abstract
This paper presents a new method of automotive MIMO radar self-calibration which uses targets of opportunity embedded in road infrastructure, such as road signs and traffic lights. While conventional offline calibration of a phased array antenna requires accurate knowledge of the positions of calibration targets relative to the radar, such information is not available in a dynamic scenario. To compensate for this, we have developed an estimation procedure based on an extended Kalman filter (EKF) to address the challenge of simultaneous localisation, mapping and calibration. Numerical simulations demonstrate the possibility to decrease the sidelobes level and compensate the steering bias of a MIMO radar with the proposed method..
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 18th European Radar Conference |
| Publisher | IEEE |
| Pages | 445-448 |
| Number of pages | 4 |
| ISBN (Electronic) | 978-2-87487-065-1 |
| ISBN (Print) | 978-1-6654-4723-2 |
| DOIs | |
| Publication status | Published - 2022 |
| Event | The 18th European Radar Conference - London, United Kingdom Duration: 5 Apr 2022 → 7 Apr 2022 |
Conference
| Conference | The 18th European Radar Conference |
|---|---|
| Country/Territory | United Kingdom |
| City | London |
| Period | 5/04/22 → 7/04/22 |
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
- Radar
- MIMO arrays
- calibration
- SLAM