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1-D and 2-D Direction of Arrival Estimation in a Conical Conformal Array: Design and Implementation

Direction of arrival (DOA) estimation for conformal arrays is challenging due to non-omnidirectional element patterns and shadow effects. Conical conformal array (CCA) can avoid the shadow effect at small elevation angles. So CCA is suitable for DOA estimation on both azimuth and elevation angles at...

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Autores principales: Zhang, Hongyun, Li, Ping, Zhang, Guangwei, Li, Guolin, Gao, Xiaofeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10181771/
https://www.ncbi.nlm.nih.gov/pubmed/37177740
http://dx.doi.org/10.3390/s23094536
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author Zhang, Hongyun
Li, Ping
Zhang, Guangwei
Li, Guolin
Gao, Xiaofeng
author_facet Zhang, Hongyun
Li, Ping
Zhang, Guangwei
Li, Guolin
Gao, Xiaofeng
author_sort Zhang, Hongyun
collection PubMed
description Direction of arrival (DOA) estimation for conformal arrays is challenging due to non-omnidirectional element patterns and shadow effects. Conical conformal array (CCA) can avoid the shadow effect at small elevation angles. So CCA is suitable for DOA estimation on both azimuth and elevation angles at small elevation angles. However, the element pattern in CCA cannot be obtained by conventional directional element coordinate transformation. Its local element pattern also has connection with the cone angle. The paper establishes the CCA radiation pattern in local coordinate system using 2-D coordinate transformation. In addition, in the case of large elevation angle, only half elements of the CCA can receive signal due to the shadow effect. The array degrees of freedom (DOF) are reduced by halves. We introduce the difference coarray method, which increases the DOF. Moreover, we propose a more accurate propagator method for 2-D cases. This method constructs a new propagation matrix and reduces the estimation error. In addition, this method reduces computational complexity by using linear computations instead of eigenvalue decomposition (EVD) and avoids spectral search. Simulation and experiment verify the estimation performance of the CCA. Both demonstrate the CCA model established in this paper is corresponding to the designed CCA antenna, and the proposed algorithms meet the needs of CCA angle detection. When the number of array elements is 12, the estimation accuracy is about 5 degrees.
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spelling pubmed-101817712023-05-13 1-D and 2-D Direction of Arrival Estimation in a Conical Conformal Array: Design and Implementation Zhang, Hongyun Li, Ping Zhang, Guangwei Li, Guolin Gao, Xiaofeng Sensors (Basel) Article Direction of arrival (DOA) estimation for conformal arrays is challenging due to non-omnidirectional element patterns and shadow effects. Conical conformal array (CCA) can avoid the shadow effect at small elevation angles. So CCA is suitable for DOA estimation on both azimuth and elevation angles at small elevation angles. However, the element pattern in CCA cannot be obtained by conventional directional element coordinate transformation. Its local element pattern also has connection with the cone angle. The paper establishes the CCA radiation pattern in local coordinate system using 2-D coordinate transformation. In addition, in the case of large elevation angle, only half elements of the CCA can receive signal due to the shadow effect. The array degrees of freedom (DOF) are reduced by halves. We introduce the difference coarray method, which increases the DOF. Moreover, we propose a more accurate propagator method for 2-D cases. This method constructs a new propagation matrix and reduces the estimation error. In addition, this method reduces computational complexity by using linear computations instead of eigenvalue decomposition (EVD) and avoids spectral search. Simulation and experiment verify the estimation performance of the CCA. Both demonstrate the CCA model established in this paper is corresponding to the designed CCA antenna, and the proposed algorithms meet the needs of CCA angle detection. When the number of array elements is 12, the estimation accuracy is about 5 degrees. MDPI 2023-05-06 /pmc/articles/PMC10181771/ /pubmed/37177740 http://dx.doi.org/10.3390/s23094536 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zhang, Hongyun
Li, Ping
Zhang, Guangwei
Li, Guolin
Gao, Xiaofeng
1-D and 2-D Direction of Arrival Estimation in a Conical Conformal Array: Design and Implementation
title 1-D and 2-D Direction of Arrival Estimation in a Conical Conformal Array: Design and Implementation
title_full 1-D and 2-D Direction of Arrival Estimation in a Conical Conformal Array: Design and Implementation
title_fullStr 1-D and 2-D Direction of Arrival Estimation in a Conical Conformal Array: Design and Implementation
title_full_unstemmed 1-D and 2-D Direction of Arrival Estimation in a Conical Conformal Array: Design and Implementation
title_short 1-D and 2-D Direction of Arrival Estimation in a Conical Conformal Array: Design and Implementation
title_sort 1-d and 2-d direction of arrival estimation in a conical conformal array: design and implementation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10181771/
https://www.ncbi.nlm.nih.gov/pubmed/37177740
http://dx.doi.org/10.3390/s23094536
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