Vector-Sensor Array Processing for Polarization Parameters and DOA Estimation
This paper presents a method allowing a complete characterization of wave signals received on a vector-sensor array. The proposed technique is based on wavefields separation processing and on estimation of fundamental waves attributes as the state of polarization state and the direction of arrival....
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| Published in: | EURASIP journal on advances in signal processing Vol. 2010; no. 1; pp. 1 - 13 |
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| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Cham
Springer International Publishing
01.01.2010
Springer Nature B.V SpringerOpen |
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| ISSN: | 1687-6180, 1687-6172, 1687-6180 |
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| Abstract | This paper presents a method allowing a complete characterization of wave signals received on a vector-sensor array. The proposed technique is based on wavefields separation processing and on estimation of fundamental waves attributes as the state of polarization state and the direction of arrival. Estimation of these attributes is an important step in data processing for a wide range of applications where vector sensor antennas technology is involved such as seismic processing, electromagnetic fields studies, and telecommunications. Compared to the classic techniques, the proposed method is based on computation of multicomponent wideband spectral matrices which enable to take into account all information given by the vector sensor array structures and thus provide a complete characterization of a larger number of sources. |
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| AbstractList | This paper presents a method allowing a complete characterization of wave signals received on a vector-sensor array. The proposed technique is based on wavefields separation processing and on estimation of fundamental waves attributes as the state of polarization state and the direction of arrival. Estimation of these attributes is an important step in data processing for a wide range of applications where vector sensor antennas technology is involved such as seismic processing, electromagnetic fields studies, and telecommunications. Compared to the classic techniques, the proposed method is based on computation of multicomponent wideband spectral matrices which enable to take into account all information given by the vector sensor array structures and thus provide a complete characterization of a larger number of sources. |
| ArticleNumber | 850265 |
| Author | Paulus, Caroline Mars, Jérôme I. |
| Author_xml | – sequence: 1 givenname: Caroline surname: Paulus fullname: Paulus, Caroline organization: Département Images Signal, GIPSA-Lab – sequence: 2 givenname: Jérôme I. surname: Mars fullname: Mars, Jérôme I. email: jerome.mars@gipsa-lab.grenoble-inp.fr organization: Département Images Signal, GIPSA-Lab |
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| CitedBy_id | crossref_primary_10_1016_j_sigpro_2020_107521 crossref_primary_10_1016_j_sigpro_2024_109422 crossref_primary_10_1088_1361_6501_aaba41 crossref_primary_10_1111_j_1365_246X_2011_05148_x crossref_primary_10_1155_2011_490289 crossref_primary_10_3390_s16060789 crossref_primary_10_1186_s13634_022_00897_w crossref_primary_10_1155_2016_7537160 |
| Cites_doi | 10.1109/TSP.2004.836456 10.1109/TGRS.2006.872092 10.1109/8.273313 10.1109/LAWP.2004.831083 10.1109/PROC.1965.4463 10.1109/TASSP.1987.1165190 10.1109/TAP.1986.1143830 10.1016/j.sigpro.2005.03.018 10.1109/TASSP.1986.1164815 10.1109/78.852000 10.1190/1.1439402 10.1190/1.1442937 10.1109/78.852001 10.1109/8.884492 10.1109/TAP.1983.1143038 10.1109/8.233122 10.1109/78.806070 10.1109/TASSP.1985.1164667 10.1109/SSAP.1996.534886 10.1109/TASSP.1985.1164649 10.1190/1.1443068 10.1109/29.17564 10.1109/8.633852 10.1109/8.855485 10.1016/0040-1951(90)90203-K 10.1109/PROC.1965.4462 10.1109/78.317869 10.1109/29.17496 10.1109/78.275610 10.1190/1.1439873 10.1109/78.193218 10.1109/8.99047 10.1190/1.1438310 10.1007/BF02999092 10.1049/ip-rsn:20040651 |
| ContentType | Journal Article |
| Copyright | C. Paulus and J. I. Mars. 2010. This article is published under license to BioMed Central Ltd. 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. Copyright © 2010 Caroline Paulus et al. 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. Distributed under a Creative Commons Attribution 4.0 International License |
| Copyright_xml | – notice: C. Paulus and J. I. Mars. 2010. This article is published under license to BioMed Central Ltd. 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. – notice: Copyright © 2010 Caroline Paulus et al. 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. – notice: Distributed under a Creative Commons Attribution 4.0 International License |
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| Keywords | Signal Subspace Steering Vector Uniform Linear Array Polarization Parameter Noise Subspace |
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| SubjectTerms | Algorithms Antennas Arrays Computer Science Engineering Engineering Sciences Fourier transforms Mathematical analysis Mathematics Matrices Noise Parameter estimation Polarization Propagation Quantum Information Technology Research Article Seismic phenomena Sensor arrays Sensors Signal and Image processing Signal,Image and Speech Processing Spintronics Studies Vectors (mathematics) Wideband |
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| Title | Vector-Sensor Array Processing for Polarization Parameters and DOA Estimation |
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