2D DOA Estimation Algorithm by Nested Acoustic Vector-Sensor Array
Abstract In this paper, a two-dimensional direction-of-arrival (DOA) estimation algorithm based on nested acoustic vector-sensor (AVS) array is introduced. The minimum unit interval of the used nested AVS array is integral multiple of half-wavelength of signal. Firstly, four selection matrices are u...
Ausführliche Beschreibung
Autor*in: |
Liu, Sheng [verfasserIn] |
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Englisch |
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2021 |
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Anmerkung: |
© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 |
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Übergeordnetes Werk: |
Enthalten in: Circuits, systems and signal processing - Springer US, 1982, 41(2021), 2 vom: 17. Sept., Seite 1115-1130 |
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Übergeordnetes Werk: |
volume:41 ; year:2021 ; number:2 ; day:17 ; month:09 ; pages:1115-1130 |
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DOI / URN: |
10.1007/s00034-021-01831-5 |
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OLC2077924284 |
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520 | |a Abstract In this paper, a two-dimensional direction-of-arrival (DOA) estimation algorithm based on nested acoustic vector-sensor (AVS) array is introduced. The minimum unit interval of the used nested AVS array is integral multiple of half-wavelength of signal. Firstly, four selection matrices are used to recombine four received vectors, by which four special cross-covariance matrices are obtained to form an extended block covariance matrix. Then, a set of parameters on elevation angles are estimated by traditional estimation of signal parameter via rotational invariance technique (ESPRIT) algorithm. Using these parameters, unambiguous elevation angles can be obtained without spectral peak search and added eigenvalue decomposition. At last, using the estimated elevation angles, the azimuth angles can be estimated by array manifold matching algorithm. The proposed algorithm can distinguish more signals than some existing ESPRIT algorithms. Many simulation results can prove the performance of the proposed algorithm in improving the accuracy of DOA estimation. Simulation results also show that the unit interval of optimal nested AVS array should be larger than half-wavelength of received signal. | ||
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10.1007/s00034-021-01831-5 doi (DE-627)OLC2077924284 (DE-He213)s00034-021-01831-5-p DE-627 ger DE-627 rakwb eng 600 VZ Liu, Sheng verfasserin aut 2D DOA Estimation Algorithm by Nested Acoustic Vector-Sensor Array 2021 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 2021 Abstract In this paper, a two-dimensional direction-of-arrival (DOA) estimation algorithm based on nested acoustic vector-sensor (AVS) array is introduced. The minimum unit interval of the used nested AVS array is integral multiple of half-wavelength of signal. Firstly, four selection matrices are used to recombine four received vectors, by which four special cross-covariance matrices are obtained to form an extended block covariance matrix. Then, a set of parameters on elevation angles are estimated by traditional estimation of signal parameter via rotational invariance technique (ESPRIT) algorithm. Using these parameters, unambiguous elevation angles can be obtained without spectral peak search and added eigenvalue decomposition. At last, using the estimated elevation angles, the azimuth angles can be estimated by array manifold matching algorithm. The proposed algorithm can distinguish more signals than some existing ESPRIT algorithms. Many simulation results can prove the performance of the proposed algorithm in improving the accuracy of DOA estimation. Simulation results also show that the unit interval of optimal nested AVS array should be larger than half-wavelength of received signal. Nested array AVS DOA estimation ESPRIT algorithm Zhao, Jing (orcid)0000-0001-7503-5695 aut Zhang, Yu aut Wu, Decheng aut Enthalten in Circuits, systems and signal processing Springer US, 1982 41(2021), 2 vom: 17. Sept., Seite 1115-1130 (DE-627)130312134 (DE-600)588684-3 (DE-576)015889939 0278-081X nnns volume:41 year:2021 number:2 day:17 month:09 pages:1115-1130 https://doi.org/10.1007/s00034-021-01831-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_2244 AR 41 2021 2 17 09 1115-1130 |
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10.1007/s00034-021-01831-5 doi (DE-627)OLC2077924284 (DE-He213)s00034-021-01831-5-p DE-627 ger DE-627 rakwb eng 600 VZ Liu, Sheng verfasserin aut 2D DOA Estimation Algorithm by Nested Acoustic Vector-Sensor Array 2021 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 2021 Abstract In this paper, a two-dimensional direction-of-arrival (DOA) estimation algorithm based on nested acoustic vector-sensor (AVS) array is introduced. The minimum unit interval of the used nested AVS array is integral multiple of half-wavelength of signal. Firstly, four selection matrices are used to recombine four received vectors, by which four special cross-covariance matrices are obtained to form an extended block covariance matrix. Then, a set of parameters on elevation angles are estimated by traditional estimation of signal parameter via rotational invariance technique (ESPRIT) algorithm. Using these parameters, unambiguous elevation angles can be obtained without spectral peak search and added eigenvalue decomposition. At last, using the estimated elevation angles, the azimuth angles can be estimated by array manifold matching algorithm. The proposed algorithm can distinguish more signals than some existing ESPRIT algorithms. Many simulation results can prove the performance of the proposed algorithm in improving the accuracy of DOA estimation. Simulation results also show that the unit interval of optimal nested AVS array should be larger than half-wavelength of received signal. Nested array AVS DOA estimation ESPRIT algorithm Zhao, Jing (orcid)0000-0001-7503-5695 aut Zhang, Yu aut Wu, Decheng aut Enthalten in Circuits, systems and signal processing Springer US, 1982 41(2021), 2 vom: 17. Sept., Seite 1115-1130 (DE-627)130312134 (DE-600)588684-3 (DE-576)015889939 0278-081X nnns volume:41 year:2021 number:2 day:17 month:09 pages:1115-1130 https://doi.org/10.1007/s00034-021-01831-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_2244 AR 41 2021 2 17 09 1115-1130 |
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10.1007/s00034-021-01831-5 doi (DE-627)OLC2077924284 (DE-He213)s00034-021-01831-5-p DE-627 ger DE-627 rakwb eng 600 VZ Liu, Sheng verfasserin aut 2D DOA Estimation Algorithm by Nested Acoustic Vector-Sensor Array 2021 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 2021 Abstract In this paper, a two-dimensional direction-of-arrival (DOA) estimation algorithm based on nested acoustic vector-sensor (AVS) array is introduced. The minimum unit interval of the used nested AVS array is integral multiple of half-wavelength of signal. Firstly, four selection matrices are used to recombine four received vectors, by which four special cross-covariance matrices are obtained to form an extended block covariance matrix. Then, a set of parameters on elevation angles are estimated by traditional estimation of signal parameter via rotational invariance technique (ESPRIT) algorithm. Using these parameters, unambiguous elevation angles can be obtained without spectral peak search and added eigenvalue decomposition. At last, using the estimated elevation angles, the azimuth angles can be estimated by array manifold matching algorithm. The proposed algorithm can distinguish more signals than some existing ESPRIT algorithms. Many simulation results can prove the performance of the proposed algorithm in improving the accuracy of DOA estimation. Simulation results also show that the unit interval of optimal nested AVS array should be larger than half-wavelength of received signal. Nested array AVS DOA estimation ESPRIT algorithm Zhao, Jing (orcid)0000-0001-7503-5695 aut Zhang, Yu aut Wu, Decheng aut Enthalten in Circuits, systems and signal processing Springer US, 1982 41(2021), 2 vom: 17. Sept., Seite 1115-1130 (DE-627)130312134 (DE-600)588684-3 (DE-576)015889939 0278-081X nnns volume:41 year:2021 number:2 day:17 month:09 pages:1115-1130 https://doi.org/10.1007/s00034-021-01831-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_2244 AR 41 2021 2 17 09 1115-1130 |
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10.1007/s00034-021-01831-5 doi (DE-627)OLC2077924284 (DE-He213)s00034-021-01831-5-p DE-627 ger DE-627 rakwb eng 600 VZ Liu, Sheng verfasserin aut 2D DOA Estimation Algorithm by Nested Acoustic Vector-Sensor Array 2021 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 2021 Abstract In this paper, a two-dimensional direction-of-arrival (DOA) estimation algorithm based on nested acoustic vector-sensor (AVS) array is introduced. The minimum unit interval of the used nested AVS array is integral multiple of half-wavelength of signal. Firstly, four selection matrices are used to recombine four received vectors, by which four special cross-covariance matrices are obtained to form an extended block covariance matrix. Then, a set of parameters on elevation angles are estimated by traditional estimation of signal parameter via rotational invariance technique (ESPRIT) algorithm. Using these parameters, unambiguous elevation angles can be obtained without spectral peak search and added eigenvalue decomposition. At last, using the estimated elevation angles, the azimuth angles can be estimated by array manifold matching algorithm. The proposed algorithm can distinguish more signals than some existing ESPRIT algorithms. Many simulation results can prove the performance of the proposed algorithm in improving the accuracy of DOA estimation. Simulation results also show that the unit interval of optimal nested AVS array should be larger than half-wavelength of received signal. Nested array AVS DOA estimation ESPRIT algorithm Zhao, Jing (orcid)0000-0001-7503-5695 aut Zhang, Yu aut Wu, Decheng aut Enthalten in Circuits, systems and signal processing Springer US, 1982 41(2021), 2 vom: 17. Sept., Seite 1115-1130 (DE-627)130312134 (DE-600)588684-3 (DE-576)015889939 0278-081X nnns volume:41 year:2021 number:2 day:17 month:09 pages:1115-1130 https://doi.org/10.1007/s00034-021-01831-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_2244 AR 41 2021 2 17 09 1115-1130 |
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10.1007/s00034-021-01831-5 doi (DE-627)OLC2077924284 (DE-He213)s00034-021-01831-5-p DE-627 ger DE-627 rakwb eng 600 VZ Liu, Sheng verfasserin aut 2D DOA Estimation Algorithm by Nested Acoustic Vector-Sensor Array 2021 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 2021 Abstract In this paper, a two-dimensional direction-of-arrival (DOA) estimation algorithm based on nested acoustic vector-sensor (AVS) array is introduced. The minimum unit interval of the used nested AVS array is integral multiple of half-wavelength of signal. Firstly, four selection matrices are used to recombine four received vectors, by which four special cross-covariance matrices are obtained to form an extended block covariance matrix. Then, a set of parameters on elevation angles are estimated by traditional estimation of signal parameter via rotational invariance technique (ESPRIT) algorithm. Using these parameters, unambiguous elevation angles can be obtained without spectral peak search and added eigenvalue decomposition. At last, using the estimated elevation angles, the azimuth angles can be estimated by array manifold matching algorithm. The proposed algorithm can distinguish more signals than some existing ESPRIT algorithms. Many simulation results can prove the performance of the proposed algorithm in improving the accuracy of DOA estimation. Simulation results also show that the unit interval of optimal nested AVS array should be larger than half-wavelength of received signal. Nested array AVS DOA estimation ESPRIT algorithm Zhao, Jing (orcid)0000-0001-7503-5695 aut Zhang, Yu aut Wu, Decheng aut Enthalten in Circuits, systems and signal processing Springer US, 1982 41(2021), 2 vom: 17. Sept., Seite 1115-1130 (DE-627)130312134 (DE-600)588684-3 (DE-576)015889939 0278-081X nnns volume:41 year:2021 number:2 day:17 month:09 pages:1115-1130 https://doi.org/10.1007/s00034-021-01831-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_2244 AR 41 2021 2 17 09 1115-1130 |
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Abstract In this paper, a two-dimensional direction-of-arrival (DOA) estimation algorithm based on nested acoustic vector-sensor (AVS) array is introduced. The minimum unit interval of the used nested AVS array is integral multiple of half-wavelength of signal. Firstly, four selection matrices are used to recombine four received vectors, by which four special cross-covariance matrices are obtained to form an extended block covariance matrix. Then, a set of parameters on elevation angles are estimated by traditional estimation of signal parameter via rotational invariance technique (ESPRIT) algorithm. Using these parameters, unambiguous elevation angles can be obtained without spectral peak search and added eigenvalue decomposition. At last, using the estimated elevation angles, the azimuth angles can be estimated by array manifold matching algorithm. The proposed algorithm can distinguish more signals than some existing ESPRIT algorithms. Many simulation results can prove the performance of the proposed algorithm in improving the accuracy of DOA estimation. Simulation results also show that the unit interval of optimal nested AVS array should be larger than half-wavelength of received signal. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 |
abstractGer |
Abstract In this paper, a two-dimensional direction-of-arrival (DOA) estimation algorithm based on nested acoustic vector-sensor (AVS) array is introduced. The minimum unit interval of the used nested AVS array is integral multiple of half-wavelength of signal. Firstly, four selection matrices are used to recombine four received vectors, by which four special cross-covariance matrices are obtained to form an extended block covariance matrix. Then, a set of parameters on elevation angles are estimated by traditional estimation of signal parameter via rotational invariance technique (ESPRIT) algorithm. Using these parameters, unambiguous elevation angles can be obtained without spectral peak search and added eigenvalue decomposition. At last, using the estimated elevation angles, the azimuth angles can be estimated by array manifold matching algorithm. The proposed algorithm can distinguish more signals than some existing ESPRIT algorithms. Many simulation results can prove the performance of the proposed algorithm in improving the accuracy of DOA estimation. Simulation results also show that the unit interval of optimal nested AVS array should be larger than half-wavelength of received signal. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 |
abstract_unstemmed |
Abstract In this paper, a two-dimensional direction-of-arrival (DOA) estimation algorithm based on nested acoustic vector-sensor (AVS) array is introduced. The minimum unit interval of the used nested AVS array is integral multiple of half-wavelength of signal. Firstly, four selection matrices are used to recombine four received vectors, by which four special cross-covariance matrices are obtained to form an extended block covariance matrix. Then, a set of parameters on elevation angles are estimated by traditional estimation of signal parameter via rotational invariance technique (ESPRIT) algorithm. Using these parameters, unambiguous elevation angles can be obtained without spectral peak search and added eigenvalue decomposition. At last, using the estimated elevation angles, the azimuth angles can be estimated by array manifold matching algorithm. The proposed algorithm can distinguish more signals than some existing ESPRIT algorithms. Many simulation results can prove the performance of the proposed algorithm in improving the accuracy of DOA estimation. Simulation results also show that the unit interval of optimal nested AVS array should be larger than half-wavelength of received signal. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 |
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title_short |
2D DOA Estimation Algorithm by Nested Acoustic Vector-Sensor Array |
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https://doi.org/10.1007/s00034-021-01831-5 |
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Zhao, Jing Zhang, Yu Wu, Decheng |
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Zhao, Jing Zhang, Yu Wu, Decheng |
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doi_str |
10.1007/s00034-021-01831-5 |
up_date |
2024-07-03T17:57:53.769Z |
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