Print Email Facebook Twitter Compressed-Domain Detection and Estimation for Colocated MIMO Radar Title Compressed-Domain Detection and Estimation for Colocated MIMO Radar Author Tohidi, Ehsan (EURECOM Ecole d'Ingénieur et Centre de Recherche en Sciences du Numérique) Hariri, Alireza (Sharif University of Technology) Behroozi, Hamid (Sharif University of Technology) Nayebi, Mohammad Mahdi (Sharif University of Technology) Leus, G.J.T. (TU Delft Signal Processing Systems) Petropulu, Athina P. (Rutgers University–New Brunswick) Date 2020 Abstract This article proposes a compressed-domain signal processing (CSP) multiple-input multiple-output (MIMO) radar, a MIMO radar approach that achieves substantial sample complexity reduction by exploiting the idea of CSP. CSP MIMO radar involves two levels of data compression followed by target detection at the compressed domain. First, compressive sensing is applied at the receive antennas, followed by a Capon beamformer, which is designed to suppress clutter. Exploiting the sparse nature of the beamformer output, a second compression is applied to the filtered data. Target detection is subsequently conducted by formulating and solving a hypothesis testing problem at each grid point of the discretized angle space. The proposed approach enables an eightfold reduction of the sample complexity in some settings as compared to a conventional compressed sensing (CS) MIMO radar, thus enabling faster target detection. Receiver operating characteristic curves of the proposed detector are provided. Simulation results show that the proposed approach outperforms recovery-based CS algorithms. Subject Capon beamformerclutter suppressioncolocated multiple-input multiple-output (MIMO) radarcompressed-domain signal processing To reference this document use: http://resolver.tudelft.nl/uuid:5f6b509b-2723-41d6-939a-200f61badd0b DOI https://doi.org/10.1109/TAES.2020.2995528 Embargo date 2021-06-30 ISSN 0018-9251 Source IEEE Transactions on Aerospace and Electronic Systems, 56 (6), 4504-4518 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 journal article Rights © 2020 Ehsan Tohidi, Alireza Hariri, Hamid Behroozi, Mohammad Mahdi Nayebi, G.J.T. Leus, Athina P. Petropulu Files PDF Compressed_Domain_Detecti ... dar_1_.pdf 1.63 MB Close viewer /islandora/object/uuid:5f6b509b-2723-41d6-939a-200f61badd0b/datastream/OBJ/view