Near-Field DOA-Range and Polarization Estimation Based on Exact Propagation Model with COLD Arrays
Abstract Many existing near-field source localization algorithms assume simplified models, for example, the Fresnel approximation model. Unlike these works, a new algorithm is herein proposed to localize multiple near-field electromagnetic sources under the exact source-array propagation model. Usin...
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| Autor*in: |
Yin, Kejun [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2022 |
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| Schlagwörter: |
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| Anmerkung: |
© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022 |
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| Übergeordnetes Werk: |
Enthalten in: Circuits, systems and signal processing - Springer US, 1982, 41(2022), 9 vom: 23. Apr., Seite 5183-5200 |
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| Übergeordnetes Werk: |
volume:41 ; year:2022 ; number:9 ; day:23 ; month:04 ; pages:5183-5200 |
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10.1007/s00034-022-02029-z |
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| 520 | |a Abstract Many existing near-field source localization algorithms assume simplified models, for example, the Fresnel approximation model. Unlike these works, a new algorithm is herein proposed to localize multiple near-field electromagnetic sources under the exact source-array propagation model. Using the data measured by a linear (not necessarily uniform) cocentered orthogonal loop and dipole (COLD) array, three cumulant matrices are firstly defined to construct two matrix pencils. The magnitudes of the two matrix pencils’ generalized eigenvalues are then combined with their phases to extract the direction-of-arrival (DOA) and range estimates of the sources. The key idea of the new algorithm is to use a set of coarse estimates obtained from the magnitudes to resolve the set of ambiguous estimates obtained from the phases. In addition, the proposed algorithm estimates the polarizations without needing the prior estimation of the DOA-range parameters. This proposed algorithm is analytic, requires no iterative computations, and does not need to confine the inter-element spacing to be within a quarter wavelength. | ||
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| 700 | 1 | |a Gao, Chunming |4 aut | |
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10.1007/s00034-022-02029-z doi (DE-627)OLC2079204564 (DE-He213)s00034-022-02029-z-p DE-627 ger DE-627 rakwb eng 600 VZ Yin, Kejun verfasserin (orcid)0000-0003-1057-2531 aut Near-Field DOA-Range and Polarization Estimation Based on Exact Propagation Model with COLD Arrays 2022 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022 Abstract Many existing near-field source localization algorithms assume simplified models, for example, the Fresnel approximation model. Unlike these works, a new algorithm is herein proposed to localize multiple near-field electromagnetic sources under the exact source-array propagation model. Using the data measured by a linear (not necessarily uniform) cocentered orthogonal loop and dipole (COLD) array, three cumulant matrices are firstly defined to construct two matrix pencils. The magnitudes of the two matrix pencils’ generalized eigenvalues are then combined with their phases to extract the direction-of-arrival (DOA) and range estimates of the sources. The key idea of the new algorithm is to use a set of coarse estimates obtained from the magnitudes to resolve the set of ambiguous estimates obtained from the phases. In addition, the proposed algorithm estimates the polarizations without needing the prior estimation of the DOA-range parameters. This proposed algorithm is analytic, requires no iterative computations, and does not need to confine the inter-element spacing to be within a quarter wavelength. Array signal processing Near-field Source localization Fully polarized Exact propagation model Dai, Yun aut Gao, Chunming aut Enthalten in Circuits, systems and signal processing Springer US, 1982 41(2022), 9 vom: 23. Apr., Seite 5183-5200 (DE-627)130312134 (DE-600)588684-3 (DE-576)015889939 0278-081X nnns volume:41 year:2022 number:9 day:23 month:04 pages:5183-5200 https://doi.org/10.1007/s00034-022-02029-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_2244 AR 41 2022 9 23 04 5183-5200 |
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10.1007/s00034-022-02029-z doi (DE-627)OLC2079204564 (DE-He213)s00034-022-02029-z-p DE-627 ger DE-627 rakwb eng 600 VZ Yin, Kejun verfasserin (orcid)0000-0003-1057-2531 aut Near-Field DOA-Range and Polarization Estimation Based on Exact Propagation Model with COLD Arrays 2022 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022 Abstract Many existing near-field source localization algorithms assume simplified models, for example, the Fresnel approximation model. Unlike these works, a new algorithm is herein proposed to localize multiple near-field electromagnetic sources under the exact source-array propagation model. Using the data measured by a linear (not necessarily uniform) cocentered orthogonal loop and dipole (COLD) array, three cumulant matrices are firstly defined to construct two matrix pencils. The magnitudes of the two matrix pencils’ generalized eigenvalues are then combined with their phases to extract the direction-of-arrival (DOA) and range estimates of the sources. The key idea of the new algorithm is to use a set of coarse estimates obtained from the magnitudes to resolve the set of ambiguous estimates obtained from the phases. In addition, the proposed algorithm estimates the polarizations without needing the prior estimation of the DOA-range parameters. This proposed algorithm is analytic, requires no iterative computations, and does not need to confine the inter-element spacing to be within a quarter wavelength. Array signal processing Near-field Source localization Fully polarized Exact propagation model Dai, Yun aut Gao, Chunming aut Enthalten in Circuits, systems and signal processing Springer US, 1982 41(2022), 9 vom: 23. Apr., Seite 5183-5200 (DE-627)130312134 (DE-600)588684-3 (DE-576)015889939 0278-081X nnns volume:41 year:2022 number:9 day:23 month:04 pages:5183-5200 https://doi.org/10.1007/s00034-022-02029-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_2244 AR 41 2022 9 23 04 5183-5200 |
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10.1007/s00034-022-02029-z doi (DE-627)OLC2079204564 (DE-He213)s00034-022-02029-z-p DE-627 ger DE-627 rakwb eng 600 VZ Yin, Kejun verfasserin (orcid)0000-0003-1057-2531 aut Near-Field DOA-Range and Polarization Estimation Based on Exact Propagation Model with COLD Arrays 2022 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022 Abstract Many existing near-field source localization algorithms assume simplified models, for example, the Fresnel approximation model. Unlike these works, a new algorithm is herein proposed to localize multiple near-field electromagnetic sources under the exact source-array propagation model. Using the data measured by a linear (not necessarily uniform) cocentered orthogonal loop and dipole (COLD) array, three cumulant matrices are firstly defined to construct two matrix pencils. The magnitudes of the two matrix pencils’ generalized eigenvalues are then combined with their phases to extract the direction-of-arrival (DOA) and range estimates of the sources. The key idea of the new algorithm is to use a set of coarse estimates obtained from the magnitudes to resolve the set of ambiguous estimates obtained from the phases. In addition, the proposed algorithm estimates the polarizations without needing the prior estimation of the DOA-range parameters. This proposed algorithm is analytic, requires no iterative computations, and does not need to confine the inter-element spacing to be within a quarter wavelength. Array signal processing Near-field Source localization Fully polarized Exact propagation model Dai, Yun aut Gao, Chunming aut Enthalten in Circuits, systems and signal processing Springer US, 1982 41(2022), 9 vom: 23. Apr., Seite 5183-5200 (DE-627)130312134 (DE-600)588684-3 (DE-576)015889939 0278-081X nnns volume:41 year:2022 number:9 day:23 month:04 pages:5183-5200 https://doi.org/10.1007/s00034-022-02029-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_2244 AR 41 2022 9 23 04 5183-5200 |
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10.1007/s00034-022-02029-z doi (DE-627)OLC2079204564 (DE-He213)s00034-022-02029-z-p DE-627 ger DE-627 rakwb eng 600 VZ Yin, Kejun verfasserin (orcid)0000-0003-1057-2531 aut Near-Field DOA-Range and Polarization Estimation Based on Exact Propagation Model with COLD Arrays 2022 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022 Abstract Many existing near-field source localization algorithms assume simplified models, for example, the Fresnel approximation model. Unlike these works, a new algorithm is herein proposed to localize multiple near-field electromagnetic sources under the exact source-array propagation model. Using the data measured by a linear (not necessarily uniform) cocentered orthogonal loop and dipole (COLD) array, three cumulant matrices are firstly defined to construct two matrix pencils. The magnitudes of the two matrix pencils’ generalized eigenvalues are then combined with their phases to extract the direction-of-arrival (DOA) and range estimates of the sources. The key idea of the new algorithm is to use a set of coarse estimates obtained from the magnitudes to resolve the set of ambiguous estimates obtained from the phases. In addition, the proposed algorithm estimates the polarizations without needing the prior estimation of the DOA-range parameters. This proposed algorithm is analytic, requires no iterative computations, and does not need to confine the inter-element spacing to be within a quarter wavelength. Array signal processing Near-field Source localization Fully polarized Exact propagation model Dai, Yun aut Gao, Chunming aut Enthalten in Circuits, systems and signal processing Springer US, 1982 41(2022), 9 vom: 23. Apr., Seite 5183-5200 (DE-627)130312134 (DE-600)588684-3 (DE-576)015889939 0278-081X nnns volume:41 year:2022 number:9 day:23 month:04 pages:5183-5200 https://doi.org/10.1007/s00034-022-02029-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_2244 AR 41 2022 9 23 04 5183-5200 |
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Abstract Many existing near-field source localization algorithms assume simplified models, for example, the Fresnel approximation model. Unlike these works, a new algorithm is herein proposed to localize multiple near-field electromagnetic sources under the exact source-array propagation model. Using the data measured by a linear (not necessarily uniform) cocentered orthogonal loop and dipole (COLD) array, three cumulant matrices are firstly defined to construct two matrix pencils. The magnitudes of the two matrix pencils’ generalized eigenvalues are then combined with their phases to extract the direction-of-arrival (DOA) and range estimates of the sources. The key idea of the new algorithm is to use a set of coarse estimates obtained from the magnitudes to resolve the set of ambiguous estimates obtained from the phases. In addition, the proposed algorithm estimates the polarizations without needing the prior estimation of the DOA-range parameters. This proposed algorithm is analytic, requires no iterative computations, and does not need to confine the inter-element spacing to be within a quarter wavelength. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022 |
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Abstract Many existing near-field source localization algorithms assume simplified models, for example, the Fresnel approximation model. Unlike these works, a new algorithm is herein proposed to localize multiple near-field electromagnetic sources under the exact source-array propagation model. Using the data measured by a linear (not necessarily uniform) cocentered orthogonal loop and dipole (COLD) array, three cumulant matrices are firstly defined to construct two matrix pencils. The magnitudes of the two matrix pencils’ generalized eigenvalues are then combined with their phases to extract the direction-of-arrival (DOA) and range estimates of the sources. The key idea of the new algorithm is to use a set of coarse estimates obtained from the magnitudes to resolve the set of ambiguous estimates obtained from the phases. In addition, the proposed algorithm estimates the polarizations without needing the prior estimation of the DOA-range parameters. This proposed algorithm is analytic, requires no iterative computations, and does not need to confine the inter-element spacing to be within a quarter wavelength. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022 |
| abstract_unstemmed |
Abstract Many existing near-field source localization algorithms assume simplified models, for example, the Fresnel approximation model. Unlike these works, a new algorithm is herein proposed to localize multiple near-field electromagnetic sources under the exact source-array propagation model. Using the data measured by a linear (not necessarily uniform) cocentered orthogonal loop and dipole (COLD) array, three cumulant matrices are firstly defined to construct two matrix pencils. The magnitudes of the two matrix pencils’ generalized eigenvalues are then combined with their phases to extract the direction-of-arrival (DOA) and range estimates of the sources. The key idea of the new algorithm is to use a set of coarse estimates obtained from the magnitudes to resolve the set of ambiguous estimates obtained from the phases. In addition, the proposed algorithm estimates the polarizations without needing the prior estimation of the DOA-range parameters. This proposed algorithm is analytic, requires no iterative computations, and does not need to confine the inter-element spacing to be within a quarter wavelength. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022 |
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Near-Field DOA-Range and Polarization Estimation Based on Exact Propagation Model with COLD Arrays |
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