Sparse Automotive MIMO Radar for Super-Resolution Single Snapshot DOA Estimation With Mutual Coupling

A novel sparse automotive multiple-input multiple-output (MIMO) radar configuration is proposed for low-complexity super-resolution single snapshot direction-of-arrival (DOA) estimation. The physical antenna effects are incorporated in the signal model via open-circuited embedded-element patterns (E...

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Autores principales:	Navid Amani, Feike Jansen, Alessio Filippi, Marianna V. Ivashina, Rob Maaskant
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Automotive radar DOA estimation MIMO radar mutual coupling single snapshot sparse arrays Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/6f5e54c137234296a95cd9403d7d83be
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spelling	oai:doaj.org-article:6f5e54c137234296a95cd9403d7d83be2021-11-09T00:00:41ZSparse Automotive MIMO Radar for Super-Resolution Single Snapshot DOA Estimation With Mutual Coupling2169-353610.1109/ACCESS.2021.3122967https://doaj.org/article/6f5e54c137234296a95cd9403d7d83be2021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9585586/https://doaj.org/toc/2169-3536A novel sparse automotive multiple-input multiple-output (MIMO) radar configuration is proposed for low-complexity super-resolution single snapshot direction-of-arrival (DOA) estimation. The physical antenna effects are incorporated in the signal model via open-circuited embedded-element patterns (EEPs) and coupling matrices. The transmit (TX) and receive (RX) array are each divided into two uniform sparse sub-arrays with different inter-element spacings to generate two MIMO sets. Since the corresponding virtual arrays (VAs) of both MIMO sets are uniform, the well-known spatial smoothing (SS) algorithm is applied to suppress the temporal correlation among sources. Afterwards, the co-prime array principle between two spatially smoothed VAs is deployed to avoid DOA ambiguities. A performance comparison between the sparse and conventional MIMO radars with the same number of TX and RX channels confirms a spatial resolution enhancement. Meanwhile, the DOA estimation error due to the mutual coupling (MC) is less pronounced in the proposed sparse architecture since antennas in both TX and RX arrays are spaced larger than half wavelength apart.Navid AmaniFeike JansenAlessio FilippiMarianna V. IvashinaRob MaaskantIEEEarticleAutomotive radarDOA estimationMIMO radarmutual couplingsingle snapshotsparse arraysElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 146822-146829 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Automotive radar DOA estimation MIMO radar mutual coupling single snapshot sparse arrays Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Automotive radar DOA estimation MIMO radar mutual coupling single snapshot sparse arrays Electrical engineering. Electronics. Nuclear engineering TK1-9971 Navid Amani Feike Jansen Alessio Filippi Marianna V. Ivashina Rob Maaskant Sparse Automotive MIMO Radar for Super-Resolution Single Snapshot DOA Estimation With Mutual Coupling
description	A novel sparse automotive multiple-input multiple-output (MIMO) radar configuration is proposed for low-complexity super-resolution single snapshot direction-of-arrival (DOA) estimation. The physical antenna effects are incorporated in the signal model via open-circuited embedded-element patterns (EEPs) and coupling matrices. The transmit (TX) and receive (RX) array are each divided into two uniform sparse sub-arrays with different inter-element spacings to generate two MIMO sets. Since the corresponding virtual arrays (VAs) of both MIMO sets are uniform, the well-known spatial smoothing (SS) algorithm is applied to suppress the temporal correlation among sources. Afterwards, the co-prime array principle between two spatially smoothed VAs is deployed to avoid DOA ambiguities. A performance comparison between the sparse and conventional MIMO radars with the same number of TX and RX channels confirms a spatial resolution enhancement. Meanwhile, the DOA estimation error due to the mutual coupling (MC) is less pronounced in the proposed sparse architecture since antennas in both TX and RX arrays are spaced larger than half wavelength apart.
format	article
author	Navid Amani Feike Jansen Alessio Filippi Marianna V. Ivashina Rob Maaskant
author_facet	Navid Amani Feike Jansen Alessio Filippi Marianna V. Ivashina Rob Maaskant
author_sort	Navid Amani
title	Sparse Automotive MIMO Radar for Super-Resolution Single Snapshot DOA Estimation With Mutual Coupling
title_short	Sparse Automotive MIMO Radar for Super-Resolution Single Snapshot DOA Estimation With Mutual Coupling
title_full	Sparse Automotive MIMO Radar for Super-Resolution Single Snapshot DOA Estimation With Mutual Coupling
title_fullStr	Sparse Automotive MIMO Radar for Super-Resolution Single Snapshot DOA Estimation With Mutual Coupling
title_full_unstemmed	Sparse Automotive MIMO Radar for Super-Resolution Single Snapshot DOA Estimation With Mutual Coupling
title_sort	sparse automotive mimo radar for super-resolution single snapshot doa estimation with mutual coupling
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/6f5e54c137234296a95cd9403d7d83be
work_keys_str_mv	AT navidamani sparseautomotivemimoradarforsuperresolutionsinglesnapshotdoaestimationwithmutualcoupling AT feikejansen sparseautomotivemimoradarforsuperresolutionsinglesnapshotdoaestimationwithmutualcoupling AT alessiofilippi sparseautomotivemimoradarforsuperresolutionsinglesnapshotdoaestimationwithmutualcoupling AT mariannavivashina sparseautomotivemimoradarforsuperresolutionsinglesnapshotdoaestimationwithmutualcoupling AT robmaaskant sparseautomotivemimoradarforsuperresolutionsinglesnapshotdoaestimationwithmutualcoupling
_version_	1718441391113109504

Sparse Automotive MIMO Radar for Super-Resolution Single Snapshot DOA Estimation With Mutual Coupling

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