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  • 标题:Mixed-Field Source Localization Based on the Non-Hermitian Matrix
  • 本地全文:下载
  • 作者:Minggang Mo ; Zhaowei Sun
  • 期刊名称:Information
  • 电子版ISSN:2078-2489
  • 出版年度:2020
  • 卷号:11
  • 期号:1
  • 页码:56-66
  • DOI:10.3390/info11010056
  • 出版社:MDPI Publishing
  • 摘要: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.
  • 关键词:MUSIC; mixed-field; high-order; cumulant MUSIC ; mixed-field ; high-order ; cumulant
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