Print Email Facebook Twitter Low Complexity Single-Snapshot DoA Estimation via Bayesian Compressive Sensing Title Low Complexity Single-Snapshot DoA Estimation via Bayesian Compressive Sensing Author Roldan Montero, I. (TU Delft Microwave Sensing, Signals & Systems) Lamberti, Lucas (Student TU Delft) Fioranelli, F. (TU Delft Microwave Sensing, Signals & Systems) Yarovoy, Alexander (TU Delft Microwave Sensing, Signals & Systems) Date 2023 Abstract The problem of single-snapshot direction of arrival (DoA) estimation with antenna arrays has been considered. A sectorized approach based on Bayesian Compressive Sensing (BCS) has been proposed. In this method, the angular space is discretized, defining many non-overlapping small grids which cover the desired large angular space. First, a BCS estimation is run in each of the sectors to estimate the DoA of the signals. Then, a second stage is performed to correct the inconsistencies at the edges due to signal leaking between sectors. The performance of the method has been analyzed via extensive Monte-Carlo simulations in which the number of targets, their Radar Cross Section (RCS), and their location have been varied in a large extent, and the targets were observed by a Frequency Modulated Continuous Wave (FMCW) radar with an 86-element Uniform Linear Array (ULA). The results are compared with state-of-the-art methods in terms of estimation accuracy and resolution. Moreover, an analysis of the computational time, critical for many real-time applications, is presented, which shows a reduction of 20 times in the computational time compared with the standard BCS. Finally, the method has also been validated using experimental data collected with a commercial automotive radar. Subject Bayesian compressive sensing (BCS)direction of-arrival estimation (DoA)antenna arrays To reference this document use: http://resolver.tudelft.nl/uuid:4404f934-0e39-4755-825e-2b8a79637837 DOI https://doi.org/10.1109/RadarConf2351548.2023.10149589 Publisher IEEE, Piscataway Embargo date 2023-12-21 ISBN 978-1-6654-3670-0 Source Proceedings of the 2023 IEEE Radar Conference (RadarConf23) Event 2023 IEEE Radar Conference (RadarConf23), 2023-05-01 → 2023-05-05, San Antonio, 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 © 2023 I. Roldan Montero, Lucas Lamberti, F. Fioranelli, Alexander Yarovoy Files PDF Low_Complexity_Single_Sna ... ensing.pdf 2.78 MB Close viewer /islandora/object/uuid:4404f934-0e39-4755-825e-2b8a79637837/datastream/OBJ/view