LOCALIZATION FOR MIXED NEAR-FIELD AND FAR-FIELD SOURCES BY INTERLACED NESTED ARRAY
In this paper, a localization algorithm for mixed near-field and far-field sources by an interlaced nested array is proposed. The fourth-order cumulants (FOCs) of the received data are used to construct a FOC matrix, by which the angles of all signals can be estimated. Then, an effective method is d...
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| Published in | Progress in electromagnetics research M Pier M Vol. 82; pp. 107 - 115 |
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| Main Authors | , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Electromagnetics Academy
01.01.2019
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1937-8726 1937-8726 |
| DOI | 10.2528/PIERM19042501 |
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| Abstract | In this paper, a localization algorithm for mixed near-field and far-field sources by an interlaced nested array is proposed. The fourth-order cumulants (FOCs) of the received data are used to construct a FOC matrix, by which the angles of all signals can be estimated. Then, an effective method is driven to separate the directions of arrival (DOAs) of near-field and far-field sources without extreme value search. The ranges of the near-field sources can be estimated by one-dimensional (1D) search. Compared with existing nested array-based algorithms, the proposed algorithm can distinguish more sources and has higher estimation accuracy. Some simulation results are shown to certify the superiority of proposed algorithm. |
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| AbstractList | In this paper, a localization algorithm for mixed near-field and far-field sources by an interlaced nested array is proposed. The fourth-order cumulants (FOCs) of the received data are used to construct a FOC matrix, by which the angles of all signals can be estimated. Then, an effective method is driven to separate the directions of arrival (DOAs) of near-field and far-field sources without extreme value search. The ranges of the near-field sources can be estimated by one-dimensional (1D) search. Compared with existing nested array-based algorithms, the proposed algorithm can distinguish more sources and has higher estimation accuracy. Some simulation results are shown to certify the superiority of proposed algorithm. |
| Audience | Academic |
| Author | Yuan, Ziqing Zhou, Ren Xiao, Min Liu, Sheng Zhao, Jing Lu, Chunyan |
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| Snippet | In this paper, a localization algorithm for mixed near-field and far-field sources by an interlaced nested array is proposed. The fourth-order cumulants (FOCs)... |
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| SubjectTerms | Algorithms Antenna arrays Design and construction |
| Title | LOCALIZATION FOR MIXED NEAR-FIELD AND FAR-FIELD SOURCES BY INTERLACED NESTED ARRAY |
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