A Novel Sparse Array for Localization of Mixed Near-Field and Far-Field Sources
As we all know, nested array can obtain a larger array aperture and more degrees of freedom using fewer sensors. In this study, we not only designed an enhanced symmetric nested array (ESNA), which achieved more consecutive lags and more unique lags compared with a generalized nested array but also...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | International Journal of Antennas and Propagation |
| Online Access: | http://dx.doi.org/10.1155/2021/3960361 |
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| author | Yinsheng Wang WeiJia Cui Yuxi Du Bin Ba Fengtong Mei |
| author_facet | Yinsheng Wang WeiJia Cui Yuxi Du Bin Ba Fengtong Mei |
| author_sort | Yinsheng Wang |
| collection | DOAJ |
| description | As we all know, nested array can obtain a larger array aperture and more degrees of freedom using fewer sensors. In this study, we not only designed an enhanced symmetric nested array (ESNA), which achieved more consecutive lags and more unique lags compared with a generalized nested array but also developed a special cumulant matrix, in the case of a given number of sensors, which can automatically generate the largest consecutive lags of the array. First, the direction-of-arrivals (DOAs) of mixed sources are estimated using the special cumulant matrix. Then, we can estimate the range of the near-field source in the mixed source using a one-dimensional spectral search through estimated DOAs, and in the mixed sources, the near-field and far-field sources are classified by bringing in the range parameter. The largest consecutive lags and composition method of ESNA are also given, under a given number of sensors.Our algorithm has moderate computation complexity, which provides a higher resolution and improves the parameters’ estimation accuracy. Numerical simulation results demonstrate that the proposed array showed an outstanding performance under estimation accuracy and resolution ability for both DOA and range estimation compared with existing arrays of the same physical array sensors. |
| format | Article |
| id | doaj-art-8499247a730a44da8bbb08122dfe5c29 |
| institution | Kabale University |
| issn | 1687-5877 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Antennas and Propagation |
| spelling | doaj-art-8499247a730a44da8bbb08122dfe5c292025-02-03T01:20:39ZengWileyInternational Journal of Antennas and Propagation1687-58772021-01-01202110.1155/2021/3960361A Novel Sparse Array for Localization of Mixed Near-Field and Far-Field SourcesYinsheng Wang0WeiJia Cui1Yuxi Du2Bin Ba3Fengtong Mei4National Digital Switching System Engineering & Technological Research CenterNational Digital Switching System Engineering & Technological Research CenterNational Digital Switching System Engineering & Technological Research CenterNational Digital Switching System Engineering & Technological Research CenterNational Digital Switching System Engineering & Technological Research CenterAs we all know, nested array can obtain a larger array aperture and more degrees of freedom using fewer sensors. In this study, we not only designed an enhanced symmetric nested array (ESNA), which achieved more consecutive lags and more unique lags compared with a generalized nested array but also developed a special cumulant matrix, in the case of a given number of sensors, which can automatically generate the largest consecutive lags of the array. First, the direction-of-arrivals (DOAs) of mixed sources are estimated using the special cumulant matrix. Then, we can estimate the range of the near-field source in the mixed source using a one-dimensional spectral search through estimated DOAs, and in the mixed sources, the near-field and far-field sources are classified by bringing in the range parameter. The largest consecutive lags and composition method of ESNA are also given, under a given number of sensors.Our algorithm has moderate computation complexity, which provides a higher resolution and improves the parameters’ estimation accuracy. Numerical simulation results demonstrate that the proposed array showed an outstanding performance under estimation accuracy and resolution ability for both DOA and range estimation compared with existing arrays of the same physical array sensors.http://dx.doi.org/10.1155/2021/3960361 |
| spellingShingle | Yinsheng Wang WeiJia Cui Yuxi Du Bin Ba Fengtong Mei A Novel Sparse Array for Localization of Mixed Near-Field and Far-Field Sources International Journal of Antennas and Propagation |
| title | A Novel Sparse Array for Localization of Mixed Near-Field and Far-Field Sources |
| title_full | A Novel Sparse Array for Localization of Mixed Near-Field and Far-Field Sources |
| title_fullStr | A Novel Sparse Array for Localization of Mixed Near-Field and Far-Field Sources |
| title_full_unstemmed | A Novel Sparse Array for Localization of Mixed Near-Field and Far-Field Sources |
| title_short | A Novel Sparse Array for Localization of Mixed Near-Field and Far-Field Sources |
| title_sort | novel sparse array for localization of mixed near field and far field sources |
| url | http://dx.doi.org/10.1155/2021/3960361 |
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