Classification and Localization of Mixed Sources after Blind Calibration of Unknown Mutual Coupling
In order to deal with the problem of passive mixed source localization under unknown mutual coupling, the authors propose an effective algorithm. This algorithm provides array blind calibration as well as classification and localization of mixed sources in this paper. In practice, an ideal sensor ar...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2019-01-01
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| Series: | International Journal of Antennas and Propagation |
| Online Access: | http://dx.doi.org/10.1155/2019/5943956 |
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| _version_ | 1832564728184963072 |
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| author | Kai Wang Ling Wang Jian Xie Yuexian Wang |
| author_facet | Kai Wang Ling Wang Jian Xie Yuexian Wang |
| author_sort | Kai Wang |
| collection | DOAJ |
| description | In order to deal with the problem of passive mixed source localization under unknown mutual coupling, the authors propose an effective algorithm. This algorithm provides array blind calibration as well as classification and localization of mixed sources in this paper. In practice, an ideal sensor array without the effects of unknown mutual coupling is rarely satisfied, which degrades the performance of most high-resolution algorithms. Firstly, the directions of arrival of far-field sources and the number of nonzero mutual coupling coefficients are estimated directly through the rank-reduction type method. Then, these estimates are adopted to reconstruct the mutual coupling matrix. In addition, the fourth-order cumulant technique is required to eliminate the Gauss colored noise effects caused by mutual coupling calibration of the raw received data vector. Finally, in an algebraic way, the results of rapid classification and localization of near-field sources are obtained without any spectral search. The proposed algorithm is described in detail, and its behavior is illustrated by numerical examples. |
| format | Article |
| id | doaj-art-102cb1c3e59b4695a1a77917b26e1f0b |
| institution | Kabale University |
| issn | 1687-5869 1687-5877 |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Antennas and Propagation |
| spelling | doaj-art-102cb1c3e59b4695a1a77917b26e1f0b2025-02-03T01:10:20ZengWileyInternational Journal of Antennas and Propagation1687-58691687-58772019-01-01201910.1155/2019/59439565943956Classification and Localization of Mixed Sources after Blind Calibration of Unknown Mutual CouplingKai Wang0Ling Wang1Jian Xie2Yuexian Wang3School of Electronics and Information, Northwestern Polytechnical University, Xi’an 710072, ChinaSchool of Electronics and Information, Northwestern Polytechnical University, Xi’an 710072, ChinaSchool of Electronics and Information, Northwestern Polytechnical University, Xi’an 710072, ChinaSchool of Electronics and Information, Northwestern Polytechnical University, Xi’an 710072, ChinaIn order to deal with the problem of passive mixed source localization under unknown mutual coupling, the authors propose an effective algorithm. This algorithm provides array blind calibration as well as classification and localization of mixed sources in this paper. In practice, an ideal sensor array without the effects of unknown mutual coupling is rarely satisfied, which degrades the performance of most high-resolution algorithms. Firstly, the directions of arrival of far-field sources and the number of nonzero mutual coupling coefficients are estimated directly through the rank-reduction type method. Then, these estimates are adopted to reconstruct the mutual coupling matrix. In addition, the fourth-order cumulant technique is required to eliminate the Gauss colored noise effects caused by mutual coupling calibration of the raw received data vector. Finally, in an algebraic way, the results of rapid classification and localization of near-field sources are obtained without any spectral search. The proposed algorithm is described in detail, and its behavior is illustrated by numerical examples.http://dx.doi.org/10.1155/2019/5943956 |
| spellingShingle | Kai Wang Ling Wang Jian Xie Yuexian Wang Classification and Localization of Mixed Sources after Blind Calibration of Unknown Mutual Coupling International Journal of Antennas and Propagation |
| title | Classification and Localization of Mixed Sources after Blind Calibration of Unknown Mutual Coupling |
| title_full | Classification and Localization of Mixed Sources after Blind Calibration of Unknown Mutual Coupling |
| title_fullStr | Classification and Localization of Mixed Sources after Blind Calibration of Unknown Mutual Coupling |
| title_full_unstemmed | Classification and Localization of Mixed Sources after Blind Calibration of Unknown Mutual Coupling |
| title_short | Classification and Localization of Mixed Sources after Blind Calibration of Unknown Mutual Coupling |
| title_sort | classification and localization of mixed sources after blind calibration of unknown mutual coupling |
| url | http://dx.doi.org/10.1155/2019/5943956 |
| work_keys_str_mv | AT kaiwang classificationandlocalizationofmixedsourcesafterblindcalibrationofunknownmutualcoupling AT lingwang classificationandlocalizationofmixedsourcesafterblindcalibrationofunknownmutualcoupling AT jianxie classificationandlocalizationofmixedsourcesafterblindcalibrationofunknownmutualcoupling AT yuexianwang classificationandlocalizationofmixedsourcesafterblindcalibrationofunknownmutualcoupling |