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Joint Estimation of 2D-DOA and Frequency Based on Space-Time Matrix and Conformal Array

Each element in the conformal array has a different pattern, which leads to the performance deterioration of the conventional high resolution direction-of-arrival (DOA) algorithms. In this paper, a joint frequency and two-dimension DOA (2D-DOA) estimation algorithm for conformal array are proposed....

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Detalles Bibliográficos
Autores principales: Wan, Liang-Tian, Liu, Lu-Tao, Si, Wei-Jian, Tian, Zuo-Xi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3876900/
https://www.ncbi.nlm.nih.gov/pubmed/24453856
http://dx.doi.org/10.1155/2013/463828
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author Wan, Liang-Tian
Liu, Lu-Tao
Si, Wei-Jian
Tian, Zuo-Xi
author_facet Wan, Liang-Tian
Liu, Lu-Tao
Si, Wei-Jian
Tian, Zuo-Xi
author_sort Wan, Liang-Tian
collection PubMed
description Each element in the conformal array has a different pattern, which leads to the performance deterioration of the conventional high resolution direction-of-arrival (DOA) algorithms. In this paper, a joint frequency and two-dimension DOA (2D-DOA) estimation algorithm for conformal array are proposed. The delay correlation function is used to suppress noise. Both spatial and time sampling are utilized to construct the spatial-time matrix. The frequency and 2D-DOA estimation are accomplished based on parallel factor (PARAFAC) analysis without spectral peak searching and parameter pairing. The proposed algorithm needs only four guiding elements with precise positions to estimate frequency and 2D-DOA. Other instrumental elements can be arranged flexibly on the surface of the carrier. Simulation results demonstrate the effectiveness of the proposed algorithm.
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spelling pubmed-38769002014-01-16 Joint Estimation of 2D-DOA and Frequency Based on Space-Time Matrix and Conformal Array Wan, Liang-Tian Liu, Lu-Tao Si, Wei-Jian Tian, Zuo-Xi ScientificWorldJournal Research Article Each element in the conformal array has a different pattern, which leads to the performance deterioration of the conventional high resolution direction-of-arrival (DOA) algorithms. In this paper, a joint frequency and two-dimension DOA (2D-DOA) estimation algorithm for conformal array are proposed. The delay correlation function is used to suppress noise. Both spatial and time sampling are utilized to construct the spatial-time matrix. The frequency and 2D-DOA estimation are accomplished based on parallel factor (PARAFAC) analysis without spectral peak searching and parameter pairing. The proposed algorithm needs only four guiding elements with precise positions to estimate frequency and 2D-DOA. Other instrumental elements can be arranged flexibly on the surface of the carrier. Simulation results demonstrate the effectiveness of the proposed algorithm. Hindawi Publishing Corporation 2013-12-15 /pmc/articles/PMC3876900/ /pubmed/24453856 http://dx.doi.org/10.1155/2013/463828 Text en Copyright © 2013 Liang-Tian Wan et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Wan, Liang-Tian
Liu, Lu-Tao
Si, Wei-Jian
Tian, Zuo-Xi
Joint Estimation of 2D-DOA and Frequency Based on Space-Time Matrix and Conformal Array
title Joint Estimation of 2D-DOA and Frequency Based on Space-Time Matrix and Conformal Array
title_full Joint Estimation of 2D-DOA and Frequency Based on Space-Time Matrix and Conformal Array
title_fullStr Joint Estimation of 2D-DOA and Frequency Based on Space-Time Matrix and Conformal Array
title_full_unstemmed Joint Estimation of 2D-DOA and Frequency Based on Space-Time Matrix and Conformal Array
title_short Joint Estimation of 2D-DOA and Frequency Based on Space-Time Matrix and Conformal Array
title_sort joint estimation of 2d-doa and frequency based on space-time matrix and conformal array
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3876900/
https://www.ncbi.nlm.nih.gov/pubmed/24453856
http://dx.doi.org/10.1155/2013/463828
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