Passive Localization of Near-Field Sources Based on Overlapped Subarrays
Abstract In this paper, a new algorithm for near-field source localization is proposed based on a uniform linear array (ULA). First, the direction-of-arrivals (DOAs) of near-field sources at two symmetric phase points are obtained by using two overlapped subarrays of the ULA and second-order statist...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Sun, Jie [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2019 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer Science+Business Media, LLC, part of Springer Nature 2019 |
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| Übergeordnetes Werk: |
Enthalten in: Circuits, systems and signal processing - Springer US, 1982, 39(2019), 1 vom: 04. Juli, Seite 502-512 |
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| Übergeordnetes Werk: |
volume:39 ; year:2019 ; number:1 ; day:04 ; month:07 ; pages:502-512 |
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| DOI / URN: |
10.1007/s00034-019-01188-w |
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| 520 | |a Abstract In this paper, a new algorithm for near-field source localization is proposed based on a uniform linear array (ULA). First, the direction-of-arrivals (DOAs) of near-field sources at two symmetric phase points are obtained by using two overlapped subarrays of the ULA and second-order statistics-based method. Next, the DOA of each source at the phase origin is determined by exploiting the geometric relationships between the source and two phase points. Finally, with the DOA estimates, the ranges of near-field sources can be estimated by one-dimensional search. The proposed method involves neither two-dimensional search nor higher-order cumulant calculations and avoids parameter pair-matching process. Moreover, it can achieve higher accuracy than the existing efficient method. Numerical simulations are presented to verify the performance of the proposed method. | ||
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| 700 | 1 | |a Zheng, Zhi |4 aut | |
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10.1007/s00034-019-01188-w doi (DE-627)OLC2034856597 (DE-He213)s00034-019-01188-w-p DE-627 ger DE-627 rakwb eng 600 VZ Sun, Jie verfasserin aut Passive Localization of Near-Field Sources Based on Overlapped Subarrays 2019 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC, part of Springer Nature 2019 Abstract In this paper, a new algorithm for near-field source localization is proposed based on a uniform linear array (ULA). First, the direction-of-arrivals (DOAs) of near-field sources at two symmetric phase points are obtained by using two overlapped subarrays of the ULA and second-order statistics-based method. Next, the DOA of each source at the phase origin is determined by exploiting the geometric relationships between the source and two phase points. Finally, with the DOA estimates, the ranges of near-field sources can be estimated by one-dimensional search. The proposed method involves neither two-dimensional search nor higher-order cumulant calculations and avoids parameter pair-matching process. Moreover, it can achieve higher accuracy than the existing efficient method. Numerical simulations are presented to verify the performance of the proposed method. Source localization Far-field Near-field Overlapped subarrays Hao, Caiyong aut Zheng, Zhi aut Enthalten in Circuits, systems and signal processing Springer US, 1982 39(2019), 1 vom: 04. Juli, Seite 502-512 (DE-627)130312134 (DE-600)588684-3 (DE-576)015889939 0278-081X nnns volume:39 year:2019 number:1 day:04 month:07 pages:502-512 https://doi.org/10.1007/s00034-019-01188-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2244 AR 39 2019 1 04 07 502-512 |
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10.1007/s00034-019-01188-w doi (DE-627)OLC2034856597 (DE-He213)s00034-019-01188-w-p DE-627 ger DE-627 rakwb eng 600 VZ Sun, Jie verfasserin aut Passive Localization of Near-Field Sources Based on Overlapped Subarrays 2019 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC, part of Springer Nature 2019 Abstract In this paper, a new algorithm for near-field source localization is proposed based on a uniform linear array (ULA). First, the direction-of-arrivals (DOAs) of near-field sources at two symmetric phase points are obtained by using two overlapped subarrays of the ULA and second-order statistics-based method. Next, the DOA of each source at the phase origin is determined by exploiting the geometric relationships between the source and two phase points. Finally, with the DOA estimates, the ranges of near-field sources can be estimated by one-dimensional search. The proposed method involves neither two-dimensional search nor higher-order cumulant calculations and avoids parameter pair-matching process. Moreover, it can achieve higher accuracy than the existing efficient method. Numerical simulations are presented to verify the performance of the proposed method. Source localization Far-field Near-field Overlapped subarrays Hao, Caiyong aut Zheng, Zhi aut Enthalten in Circuits, systems and signal processing Springer US, 1982 39(2019), 1 vom: 04. Juli, Seite 502-512 (DE-627)130312134 (DE-600)588684-3 (DE-576)015889939 0278-081X nnns volume:39 year:2019 number:1 day:04 month:07 pages:502-512 https://doi.org/10.1007/s00034-019-01188-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2244 AR 39 2019 1 04 07 502-512 |
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10.1007/s00034-019-01188-w doi (DE-627)OLC2034856597 (DE-He213)s00034-019-01188-w-p DE-627 ger DE-627 rakwb eng 600 VZ Sun, Jie verfasserin aut Passive Localization of Near-Field Sources Based on Overlapped Subarrays 2019 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC, part of Springer Nature 2019 Abstract In this paper, a new algorithm for near-field source localization is proposed based on a uniform linear array (ULA). First, the direction-of-arrivals (DOAs) of near-field sources at two symmetric phase points are obtained by using two overlapped subarrays of the ULA and second-order statistics-based method. Next, the DOA of each source at the phase origin is determined by exploiting the geometric relationships between the source and two phase points. Finally, with the DOA estimates, the ranges of near-field sources can be estimated by one-dimensional search. The proposed method involves neither two-dimensional search nor higher-order cumulant calculations and avoids parameter pair-matching process. Moreover, it can achieve higher accuracy than the existing efficient method. Numerical simulations are presented to verify the performance of the proposed method. Source localization Far-field Near-field Overlapped subarrays Hao, Caiyong aut Zheng, Zhi aut Enthalten in Circuits, systems and signal processing Springer US, 1982 39(2019), 1 vom: 04. Juli, Seite 502-512 (DE-627)130312134 (DE-600)588684-3 (DE-576)015889939 0278-081X nnns volume:39 year:2019 number:1 day:04 month:07 pages:502-512 https://doi.org/10.1007/s00034-019-01188-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2244 AR 39 2019 1 04 07 502-512 |
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10.1007/s00034-019-01188-w doi (DE-627)OLC2034856597 (DE-He213)s00034-019-01188-w-p DE-627 ger DE-627 rakwb eng 600 VZ Sun, Jie verfasserin aut Passive Localization of Near-Field Sources Based on Overlapped Subarrays 2019 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC, part of Springer Nature 2019 Abstract In this paper, a new algorithm for near-field source localization is proposed based on a uniform linear array (ULA). First, the direction-of-arrivals (DOAs) of near-field sources at two symmetric phase points are obtained by using two overlapped subarrays of the ULA and second-order statistics-based method. Next, the DOA of each source at the phase origin is determined by exploiting the geometric relationships between the source and two phase points. Finally, with the DOA estimates, the ranges of near-field sources can be estimated by one-dimensional search. The proposed method involves neither two-dimensional search nor higher-order cumulant calculations and avoids parameter pair-matching process. Moreover, it can achieve higher accuracy than the existing efficient method. Numerical simulations are presented to verify the performance of the proposed method. Source localization Far-field Near-field Overlapped subarrays Hao, Caiyong aut Zheng, Zhi aut Enthalten in Circuits, systems and signal processing Springer US, 1982 39(2019), 1 vom: 04. Juli, Seite 502-512 (DE-627)130312134 (DE-600)588684-3 (DE-576)015889939 0278-081X nnns volume:39 year:2019 number:1 day:04 month:07 pages:502-512 https://doi.org/10.1007/s00034-019-01188-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2244 AR 39 2019 1 04 07 502-512 |
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10.1007/s00034-019-01188-w doi (DE-627)OLC2034856597 (DE-He213)s00034-019-01188-w-p DE-627 ger DE-627 rakwb eng 600 VZ Sun, Jie verfasserin aut Passive Localization of Near-Field Sources Based on Overlapped Subarrays 2019 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC, part of Springer Nature 2019 Abstract In this paper, a new algorithm for near-field source localization is proposed based on a uniform linear array (ULA). First, the direction-of-arrivals (DOAs) of near-field sources at two symmetric phase points are obtained by using two overlapped subarrays of the ULA and second-order statistics-based method. Next, the DOA of each source at the phase origin is determined by exploiting the geometric relationships between the source and two phase points. Finally, with the DOA estimates, the ranges of near-field sources can be estimated by one-dimensional search. The proposed method involves neither two-dimensional search nor higher-order cumulant calculations and avoids parameter pair-matching process. Moreover, it can achieve higher accuracy than the existing efficient method. Numerical simulations are presented to verify the performance of the proposed method. Source localization Far-field Near-field Overlapped subarrays Hao, Caiyong aut Zheng, Zhi aut Enthalten in Circuits, systems and signal processing Springer US, 1982 39(2019), 1 vom: 04. Juli, Seite 502-512 (DE-627)130312134 (DE-600)588684-3 (DE-576)015889939 0278-081X nnns volume:39 year:2019 number:1 day:04 month:07 pages:502-512 https://doi.org/10.1007/s00034-019-01188-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2244 AR 39 2019 1 04 07 502-512 |
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Abstract In this paper, a new algorithm for near-field source localization is proposed based on a uniform linear array (ULA). First, the direction-of-arrivals (DOAs) of near-field sources at two symmetric phase points are obtained by using two overlapped subarrays of the ULA and second-order statistics-based method. Next, the DOA of each source at the phase origin is determined by exploiting the geometric relationships between the source and two phase points. Finally, with the DOA estimates, the ranges of near-field sources can be estimated by one-dimensional search. The proposed method involves neither two-dimensional search nor higher-order cumulant calculations and avoids parameter pair-matching process. Moreover, it can achieve higher accuracy than the existing efficient method. Numerical simulations are presented to verify the performance of the proposed method. © Springer Science+Business Media, LLC, part of Springer Nature 2019 |
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Abstract In this paper, a new algorithm for near-field source localization is proposed based on a uniform linear array (ULA). First, the direction-of-arrivals (DOAs) of near-field sources at two symmetric phase points are obtained by using two overlapped subarrays of the ULA and second-order statistics-based method. Next, the DOA of each source at the phase origin is determined by exploiting the geometric relationships between the source and two phase points. Finally, with the DOA estimates, the ranges of near-field sources can be estimated by one-dimensional search. The proposed method involves neither two-dimensional search nor higher-order cumulant calculations and avoids parameter pair-matching process. Moreover, it can achieve higher accuracy than the existing efficient method. Numerical simulations are presented to verify the performance of the proposed method. © Springer Science+Business Media, LLC, part of Springer Nature 2019 |
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Abstract In this paper, a new algorithm for near-field source localization is proposed based on a uniform linear array (ULA). First, the direction-of-arrivals (DOAs) of near-field sources at two symmetric phase points are obtained by using two overlapped subarrays of the ULA and second-order statistics-based method. Next, the DOA of each source at the phase origin is determined by exploiting the geometric relationships between the source and two phase points. Finally, with the DOA estimates, the ranges of near-field sources can be estimated by one-dimensional search. The proposed method involves neither two-dimensional search nor higher-order cumulant calculations and avoids parameter pair-matching process. Moreover, it can achieve higher accuracy than the existing efficient method. Numerical simulations are presented to verify the performance of the proposed method. © Springer Science+Business Media, LLC, part of Springer Nature 2019 |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">OLC2034856597</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230331225048.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">200819s2019 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s00034-019-01188-w</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC2034856597</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-He213)s00034-019-01188-w-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">Sun, Jie</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Passive Localization of Near-Field Sources Based on Overlapped Subarrays</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2019</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">© Springer Science+Business Media, LLC, part of Springer Nature 2019</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract In this paper, a new algorithm for near-field source localization is proposed based on a uniform linear array (ULA). First, the direction-of-arrivals (DOAs) of near-field sources at two symmetric phase points are obtained by using two overlapped subarrays of the ULA and second-order statistics-based method. Next, the DOA of each source at the phase origin is determined by exploiting the geometric relationships between the source and two phase points. Finally, with the DOA estimates, the ranges of near-field sources can be estimated by one-dimensional search. The proposed method involves neither two-dimensional search nor higher-order cumulant calculations and avoids parameter pair-matching process. Moreover, it can achieve higher accuracy than the existing efficient method. Numerical simulations are presented to verify the performance of the proposed method.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Source localization</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Far-field</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Near-field</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Overlapped subarrays</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Hao, Caiyong</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zheng, Zhi</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Circuits, systems and signal processing</subfield><subfield code="d">Springer US, 1982</subfield><subfield code="g">39(2019), 1 vom: 04. Juli, Seite 502-512</subfield><subfield code="w">(DE-627)130312134</subfield><subfield code="w">(DE-600)588684-3</subfield><subfield code="w">(DE-576)015889939</subfield><subfield code="x">0278-081X</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:39</subfield><subfield code="g">year:2019</subfield><subfield code="g">number:1</subfield><subfield code="g">day:04</subfield><subfield code="g">month:07</subfield><subfield code="g">pages:502-512</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">https://doi.org/10.1007/s00034-019-01188-w</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-TEC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2244</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">39</subfield><subfield code="j">2019</subfield><subfield code="e">1</subfield><subfield code="b">04</subfield><subfield code="c">07</subfield><subfield code="h">502-512</subfield></datafield></record></collection>
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