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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Main Authors: Minggang Mo, Zhaowei Sun
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Information
Subjects:
Online Access:https://www.mdpi.com/2078-2489/11/1/56
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spelling 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
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