Print Email Facebook Twitter Fusion of Data from Multiple Automotive Radars for High-Resolution DoA Estimation Title Fusion of Data from Multiple Automotive Radars for High-Resolution DoA Estimation Author Suvarna, Anusha Ravish (NXP Semiconductors) Koppelaar, Arie (NXP Semiconductors) Jansen, Feike (NXP Semiconductors) Wang, J. (TU Delft Microwave Sensing, Signals & Systems) Yarovoy, Alexander (TU Delft Microwave Sensing, Signals & Systems) Date 2022 Abstract High angular resolution is in high demand in automotive radar. To achieve a high azimuth resolution a large aperture antenna array is required. Although MIMO technique can be used to form larger virtual apertures, a large number of transmitter-receiver channels are needed, which is still technologically challenging and costly. To circumvent this problem, we propose a high-resolution Direction of Arrival (DoA) estimation by using multiple small radar sensors distributed on the fascia of the automobile. To exploit the diversity gain due to different target observation angles by different radars, a block Focal Under determined System Solver based approach is proposed to incoherently fuse the data from multiple small MIMO sensors. This method significantly improves the DoA estimation compared to single sensor, decreases probability of false alarm and increases probability of multiple target detection. Its performance is demonstrated through both numerical simulations and experimental results. Subject Compressive Sensing (CS)FOCUSSBlock sparsitydistributed radarMIMOautomotive radarOMPBOMPincoherent processingambiguity functionsingle snap-shotDoA estimation To reference this document use: http://resolver.tudelft.nl/uuid:a57ebb95-11d0-4d77-8d4c-279a6810d972 DOI https://doi.org/10.1109/RadarConf2248738.2022.9764277 Publisher IEEE, Piscataway Embargo date 2022-11-03 ISBN 978-1-7281-5369-8 Source 2022 IEEE Radar Conference (RadarConf22) Proceedings Event 2022 IEEE Radar Conference , 2022-03-21 → 2022-03-25, New York City, United States 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 © 2022 Anusha Ravish Suvarna, Arie Koppelaar, Feike Jansen, J. Wang, Alexander Yarovoy Files PDF Fusion_of_Data_from_Multi ... mation.pdf 1.88 MB Close viewer /islandora/object/uuid:a57ebb95-11d0-4d77-8d4c-279a6810d972/datastream/OBJ/view