Mixed-Field Source Localization Based on the Non-Hermitian Matrix
In this paper, an efficient high-order multiple signal classification (MUSIC)-like method is proposed for mixed-field source localization. Firstly, a non-Hermitian matrix is designed based on a high-order cumulant. One of the steering matrices, that is related only with the directions of arrival (DO...
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doaj-87f65b688a3b423cb3b1bc3ca3a5c80f2020-11-25T01:45:50ZengMDPI AGInformation2078-24892020-01-011115610.3390/info11010056info11010056Mixed-Field Source Localization Based on the Non-Hermitian MatrixMinggang Mo0Zhaowei Sun1School of Astronautics, Harbin Institute of Technology, Harbin 150001, ChinaSchool of Astronautics, Harbin Institute of Technology, Harbin 150001, ChinaIn this paper, an efficient high-order multiple signal classification (MUSIC)-like method is proposed for mixed-field source localization. Firstly, a non-Hermitian matrix is designed based on a high-order cumulant. One of the steering matrices, that is related only with the directions of arrival (DOA), is proved to be orthogonal with the eigenvectors corresponding to the zero eigenvalues. The other steering matrix that contains the information of both the DOA and range is proved to span the same column subspace with the eigenvectors corresponding to the non-zero eigenvalues. By applying the Gram−Schmidt orthogonalization, the range estimation can be achieved one by one after substituting each estimated DOA. The analysis shows that the computational complexity of the proposed method is lower than other methods, and the effectiveness of the proposed method is shown with some simulation results.https://www.mdpi.com/2078-2489/11/1/56musicmixed-fieldhigh-ordercumulant |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Minggang Mo Zhaowei Sun |
spellingShingle |
Minggang Mo Zhaowei Sun Mixed-Field Source Localization Based on the Non-Hermitian Matrix Information music mixed-field high-order cumulant |
author_facet |
Minggang Mo Zhaowei Sun |
author_sort |
Minggang Mo |
title |
Mixed-Field Source Localization Based on the Non-Hermitian Matrix |
title_short |
Mixed-Field Source Localization Based on the Non-Hermitian Matrix |
title_full |
Mixed-Field Source Localization Based on the Non-Hermitian Matrix |
title_fullStr |
Mixed-Field Source Localization Based on the Non-Hermitian Matrix |
title_full_unstemmed |
Mixed-Field Source Localization Based on the Non-Hermitian Matrix |
title_sort |
mixed-field source localization based on the non-hermitian matrix |
publisher |
MDPI AG |
series |
Information |
issn |
2078-2489 |
publishDate |
2020-01-01 |
description |
In this paper, an efficient high-order multiple signal classification (MUSIC)-like method is proposed for mixed-field source localization. Firstly, a non-Hermitian matrix is designed based on a high-order cumulant. One of the steering matrices, that is related only with the directions of arrival (DOA), is proved to be orthogonal with the eigenvectors corresponding to the zero eigenvalues. The other steering matrix that contains the information of both the DOA and range is proved to span the same column subspace with the eigenvectors corresponding to the non-zero eigenvalues. By applying the Gram−Schmidt orthogonalization, the range estimation can be achieved one by one after substituting each estimated DOA. The analysis shows that the computational complexity of the proposed method is lower than other methods, and the effectiveness of the proposed method is shown with some simulation results. |
topic |
music mixed-field high-order cumulant |
url |
https://www.mdpi.com/2078-2489/11/1/56 |
work_keys_str_mv |
AT minggangmo mixedfieldsourcelocalizationbasedonthenonhermitianmatrix AT zhaoweisun mixedfieldsourcelocalizationbasedonthenonhermitianmatrix |
_version_ |
1725022346914299904 |