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Least Squares Calibration of MIMO Radars with Collocated Arrays

Conference Paper (2022)
Author(s)

Nikita Petrov (TU Delft - Microwave Sensing, Signals & Systems)

O. Yarovoy (TU Delft - Microwave Sensing, Signals & Systems)

Microwave Sensing, Signals & Systems
Copyright
© 2022 N. Petrov, Alexander Yarovoy
DOI related publication
https://doi.org/10.23919/EuRAD50154.2022.9784565
More Info
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Publication Year
2022
Language
English
Copyright
© 2022 N. Petrov, Alexander Yarovoy
Microwave Sensing, Signals & Systems
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.@en
Pages (from-to)
213-216
ISBN (print)
978-1-6654-4723-2
ISBN (electronic)
978-2-87487-065-1
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

The calibration of a collocated MIMO radar is addressed by means of independent calibration of transmit and receive arrays. The solutions for both arrays' elements gain and phase terms only and the full coupling matrix estimation are presented. The proposed solution significantly improves over the conventional calibration of the virtual array in terms of calibration accuracy and reduced measurements requirement, as demonstrated by numerical simulation and validated by calibration of a commercial automotive radar.

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