Print Email Facebook Twitter Super resolution DOA for FMCW automotive radar imaging Title Super resolution DOA for FMCW automotive radar imaging Author Xu, S. (TU Delft Microwave Sensing, Signals & Systems) Wang, J. (TU Delft Microwave Sensing, Signals & Systems) Yarovoy, Alexander (TU Delft Microwave Sensing, Signals & Systems) Contributor Pichot, C. (editor) Lindén, M. (editor) Petrovic, N. (editor) Date 2018 Abstract Radar imaging using ultra-wideband (UWB) automotive radar is investigated. To overcome poor cross-range resolution of traditional beamforming (BF) algorithms, super resolution technique is applied for the Direction of Arrival (DOA) estimation. Both super-resolution algorithm and conventional BF method are used to process experimental data collected with UWB frequency modulated continuous wave (FMCW) automo- tive radar. Algorithm performances are thoroughly compared. To reference this document use: http://resolver.tudelft.nl/uuid:93d812f6-4f91-4854-8942-cf2a35832210 DOI https://doi.org/10.1109/CAMA.2018.8530609 Publisher IEEE ISBN 978-1-5386-5795-9 Source 2018 IEEE Conference on Antenna Measurements and Applications, CAMA 2018 Event 2018 IEEE Conference on Antenna Measurements and Applications, CAMA 2018, 2018-09-03 → 2018-09-06, Vasteras, Sweden 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. Part of collection Institutional Repository Document type conference paper Rights © 2018 S. Xu, J. Wang, Alexander Yarovoy Files PDF 08530609.pdf 5.03 MB Close viewer /islandora/object/uuid:93d812f6-4f91-4854-8942-cf2a35832210/datastream/OBJ/view