2D Direction Finding of Coherent Sources Using Three Parallel Sparse Arrays with Less Computational Complexity
Abstract This paper addresses the problem of two-dimensional (2D) direction of arrival estimation of coherent sources with less computational complexity using sparse arrays. The proposed method incorporates the unitary ESPRIT method into three parallel nested and coprime arrays configuration. The ad...
Ausführliche Beschreibung
Autor*in: |
Kumar, Gowri [verfasserIn] |
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Artikel |
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Sprache: |
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, 40(2021), 9 vom: 12. März, Seite 4576-4593 |
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Übergeordnetes Werk: |
volume:40 ; year:2021 ; number:9 ; day:12 ; month:03 ; pages:4576-4593 |
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DOI / URN: |
10.1007/s00034-021-01683-z |
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Katalog-ID: |
OLC212702947X |
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10.1007/s00034-021-01683-z doi (DE-627)OLC212702947X (DE-He213)s00034-021-01683-z-p DE-627 ger DE-627 rakwb eng 600 VZ Kumar, Gowri verfasserin (orcid)0000-0003-0973-8709 aut 2D Direction Finding of Coherent Sources Using Three Parallel Sparse Arrays with Less Computational Complexity 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 This paper addresses the problem of two-dimensional (2D) direction of arrival estimation of coherent sources with less computational complexity using sparse arrays. The proposed method incorporates the unitary ESPRIT method into three parallel nested and coprime arrays configuration. The advantages of the proposed method are computationally efficient due to real-valued operations, automatic pairing of 2D angles, resolves coherent targets, large array aperture and less mutual coupling. Simulation results show the effectiveness of the proposed method. Cramer–Rao lower bound (CRLB) has been given for the reference. The performance of the proposed method is compared with the methods available in the existing literature. The results achieved by the proposed method were found to be significant in terms of estimation accuracy, resolution, and the computational complexity. Coherent signals DOA estimation Unitary ESPRIT Unitary transformation Ponnusamy, Palanisamy aut Enthalten in Circuits, systems and signal processing Springer US, 1982 40(2021), 9 vom: 12. März, Seite 4576-4593 (DE-627)130312134 (DE-600)588684-3 (DE-576)015889939 0278-081X nnns volume:40 year:2021 number:9 day:12 month:03 pages:4576-4593 https://doi.org/10.1007/s00034-021-01683-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_2244 AR 40 2021 9 12 03 4576-4593 |
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10.1007/s00034-021-01683-z doi (DE-627)OLC212702947X (DE-He213)s00034-021-01683-z-p DE-627 ger DE-627 rakwb eng 600 VZ Kumar, Gowri verfasserin (orcid)0000-0003-0973-8709 aut 2D Direction Finding of Coherent Sources Using Three Parallel Sparse Arrays with Less Computational Complexity 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 This paper addresses the problem of two-dimensional (2D) direction of arrival estimation of coherent sources with less computational complexity using sparse arrays. The proposed method incorporates the unitary ESPRIT method into three parallel nested and coprime arrays configuration. The advantages of the proposed method are computationally efficient due to real-valued operations, automatic pairing of 2D angles, resolves coherent targets, large array aperture and less mutual coupling. Simulation results show the effectiveness of the proposed method. Cramer–Rao lower bound (CRLB) has been given for the reference. The performance of the proposed method is compared with the methods available in the existing literature. The results achieved by the proposed method were found to be significant in terms of estimation accuracy, resolution, and the computational complexity. Coherent signals DOA estimation Unitary ESPRIT Unitary transformation Ponnusamy, Palanisamy aut Enthalten in Circuits, systems and signal processing Springer US, 1982 40(2021), 9 vom: 12. März, Seite 4576-4593 (DE-627)130312134 (DE-600)588684-3 (DE-576)015889939 0278-081X nnns volume:40 year:2021 number:9 day:12 month:03 pages:4576-4593 https://doi.org/10.1007/s00034-021-01683-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_2244 AR 40 2021 9 12 03 4576-4593 |
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10.1007/s00034-021-01683-z doi (DE-627)OLC212702947X (DE-He213)s00034-021-01683-z-p DE-627 ger DE-627 rakwb eng 600 VZ Kumar, Gowri verfasserin (orcid)0000-0003-0973-8709 aut 2D Direction Finding of Coherent Sources Using Three Parallel Sparse Arrays with Less Computational Complexity 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 This paper addresses the problem of two-dimensional (2D) direction of arrival estimation of coherent sources with less computational complexity using sparse arrays. The proposed method incorporates the unitary ESPRIT method into three parallel nested and coprime arrays configuration. The advantages of the proposed method are computationally efficient due to real-valued operations, automatic pairing of 2D angles, resolves coherent targets, large array aperture and less mutual coupling. Simulation results show the effectiveness of the proposed method. Cramer–Rao lower bound (CRLB) has been given for the reference. The performance of the proposed method is compared with the methods available in the existing literature. The results achieved by the proposed method were found to be significant in terms of estimation accuracy, resolution, and the computational complexity. Coherent signals DOA estimation Unitary ESPRIT Unitary transformation Ponnusamy, Palanisamy aut Enthalten in Circuits, systems and signal processing Springer US, 1982 40(2021), 9 vom: 12. März, Seite 4576-4593 (DE-627)130312134 (DE-600)588684-3 (DE-576)015889939 0278-081X nnns volume:40 year:2021 number:9 day:12 month:03 pages:4576-4593 https://doi.org/10.1007/s00034-021-01683-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_2244 AR 40 2021 9 12 03 4576-4593 |
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10.1007/s00034-021-01683-z doi (DE-627)OLC212702947X (DE-He213)s00034-021-01683-z-p DE-627 ger DE-627 rakwb eng 600 VZ Kumar, Gowri verfasserin (orcid)0000-0003-0973-8709 aut 2D Direction Finding of Coherent Sources Using Three Parallel Sparse Arrays with Less Computational Complexity 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 This paper addresses the problem of two-dimensional (2D) direction of arrival estimation of coherent sources with less computational complexity using sparse arrays. The proposed method incorporates the unitary ESPRIT method into three parallel nested and coprime arrays configuration. The advantages of the proposed method are computationally efficient due to real-valued operations, automatic pairing of 2D angles, resolves coherent targets, large array aperture and less mutual coupling. Simulation results show the effectiveness of the proposed method. Cramer–Rao lower bound (CRLB) has been given for the reference. The performance of the proposed method is compared with the methods available in the existing literature. The results achieved by the proposed method were found to be significant in terms of estimation accuracy, resolution, and the computational complexity. Coherent signals DOA estimation Unitary ESPRIT Unitary transformation Ponnusamy, Palanisamy aut Enthalten in Circuits, systems and signal processing Springer US, 1982 40(2021), 9 vom: 12. März, Seite 4576-4593 (DE-627)130312134 (DE-600)588684-3 (DE-576)015889939 0278-081X nnns volume:40 year:2021 number:9 day:12 month:03 pages:4576-4593 https://doi.org/10.1007/s00034-021-01683-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_2244 AR 40 2021 9 12 03 4576-4593 |
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10.1007/s00034-021-01683-z doi (DE-627)OLC212702947X (DE-He213)s00034-021-01683-z-p DE-627 ger DE-627 rakwb eng 600 VZ Kumar, Gowri verfasserin (orcid)0000-0003-0973-8709 aut 2D Direction Finding of Coherent Sources Using Three Parallel Sparse Arrays with Less Computational Complexity 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 This paper addresses the problem of two-dimensional (2D) direction of arrival estimation of coherent sources with less computational complexity using sparse arrays. The proposed method incorporates the unitary ESPRIT method into three parallel nested and coprime arrays configuration. The advantages of the proposed method are computationally efficient due to real-valued operations, automatic pairing of 2D angles, resolves coherent targets, large array aperture and less mutual coupling. Simulation results show the effectiveness of the proposed method. Cramer–Rao lower bound (CRLB) has been given for the reference. The performance of the proposed method is compared with the methods available in the existing literature. The results achieved by the proposed method were found to be significant in terms of estimation accuracy, resolution, and the computational complexity. Coherent signals DOA estimation Unitary ESPRIT Unitary transformation Ponnusamy, Palanisamy aut Enthalten in Circuits, systems and signal processing Springer US, 1982 40(2021), 9 vom: 12. März, Seite 4576-4593 (DE-627)130312134 (DE-600)588684-3 (DE-576)015889939 0278-081X nnns volume:40 year:2021 number:9 day:12 month:03 pages:4576-4593 https://doi.org/10.1007/s00034-021-01683-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_2244 AR 40 2021 9 12 03 4576-4593 |
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Abstract This paper addresses the problem of two-dimensional (2D) direction of arrival estimation of coherent sources with less computational complexity using sparse arrays. The proposed method incorporates the unitary ESPRIT method into three parallel nested and coprime arrays configuration. The advantages of the proposed method are computationally efficient due to real-valued operations, automatic pairing of 2D angles, resolves coherent targets, large array aperture and less mutual coupling. Simulation results show the effectiveness of the proposed method. Cramer–Rao lower bound (CRLB) has been given for the reference. The performance of the proposed method is compared with the methods available in the existing literature. The results achieved by the proposed method were found to be significant in terms of estimation accuracy, resolution, and the computational complexity. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature 2021 |
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Abstract This paper addresses the problem of two-dimensional (2D) direction of arrival estimation of coherent sources with less computational complexity using sparse arrays. The proposed method incorporates the unitary ESPRIT method into three parallel nested and coprime arrays configuration. The advantages of the proposed method are computationally efficient due to real-valued operations, automatic pairing of 2D angles, resolves coherent targets, large array aperture and less mutual coupling. Simulation results show the effectiveness of the proposed method. Cramer–Rao lower bound (CRLB) has been given for the reference. The performance of the proposed method is compared with the methods available in the existing literature. The results achieved by the proposed method were found to be significant in terms of estimation accuracy, resolution, and the computational complexity. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature 2021 |
abstract_unstemmed |
Abstract This paper addresses the problem of two-dimensional (2D) direction of arrival estimation of coherent sources with less computational complexity using sparse arrays. The proposed method incorporates the unitary ESPRIT method into three parallel nested and coprime arrays configuration. The advantages of the proposed method are computationally efficient due to real-valued operations, automatic pairing of 2D angles, resolves coherent targets, large array aperture and less mutual coupling. Simulation results show the effectiveness of the proposed method. Cramer–Rao lower bound (CRLB) has been given for the reference. The performance of the proposed method is compared with the methods available in the existing literature. The results achieved by the proposed method were found to be significant in terms of estimation accuracy, resolution, and the computational complexity. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature 2021 |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000naa a22002652 4500</leader><controlfield tag="001">OLC212702947X</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230505123640.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">230505s2021 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s00034-021-01683-z</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC212702947X</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-He213)s00034-021-01683-z-p</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">600</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Kumar, Gowri</subfield><subfield code="e">verfasserin</subfield><subfield code="0">(orcid)0000-0003-0973-8709</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">2D Direction Finding of Coherent Sources Using Three Parallel Sparse Arrays with Less Computational Complexity</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2021</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature 2021</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract This paper addresses the problem of two-dimensional (2D) direction of arrival estimation of coherent sources with less computational complexity using sparse arrays. The proposed method incorporates the unitary ESPRIT method into three parallel nested and coprime arrays configuration. The advantages of the proposed method are computationally efficient due to real-valued operations, automatic pairing of 2D angles, resolves coherent targets, large array aperture and less mutual coupling. Simulation results show the effectiveness of the proposed method. Cramer–Rao lower bound (CRLB) has been given for the reference. The performance of the proposed method is compared with the methods available in the existing literature. 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