Auto-calibration of Automotive MIMO Radars Using Simultaneous Localisation and Mapping

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

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 languageEnglish
Title of host publicationProceedings of the 18th European Radar Conference
PublisherIEEE
Pages445-448
Number of pages4
ISBN (Electronic)978-2-87487-065-1
ISBN (Print)978-1-6654-4723-2
DOIs
Publication statusPublished - 2022
EventThe 18th European Radar Conference - London, United Kingdom
Duration: 5 Apr 20227 Apr 2022

Conference

ConferenceThe 18th European Radar Conference
Country/TerritoryUnited Kingdom
CityLondon
Period5/04/227/04/22

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-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

  • Radar
  • MIMO arrays
  • calibration
  • SLAM

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