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Passive localization of noncircular sources in the near-field

  • Xidian University

科研成果: 书/报告/会议事项章节会议稿件同行评审

15 引用 (Scopus)

摘要

In this paper, a novel near-field localization algorithm for noncircular sources is proposed using the uniform linear array (ULA). Firstly, an extended covariance matrix is constructed and decomposed to generate the corresponding extended signal subspace and noise subspace. Then, based on the symmetric property of the extended array manifold, the direction-of-arrival (DOA) estimates are obtained via rank reduction (RARE). Finally, the range of each source is successively obtained by another RARE estimator. The proposed algorithm is efficient in that it only requires second-order statistics (SOS) and 1D spectral search. In addition, compared with the conventional SOS-based methods, the proposed algorithm can improve the estimation accuracy and resolve more sources. Simulation results are presented to validate the performance of the proposed algorithm.

源语言英语
主期刊名International Radar Symposium, IRS 2015 - Proceedings
编辑Hermann Rohling, Hermann Rohling, Hermann Rohling
出版商IEEE Computer Society
493-498
页数6
ISBN(电子版)9783954048533, 9783954048533, 9783954048533
DOI
出版状态已出版 - 26 8月 2015
已对外发布
活动16th International Radar Symposium, IRS 2015 - Dresden, 德国
期限: 24 6月 201526 6月 2015

出版系列

姓名Proceedings International Radar Symposium
2015-August
ISSN(印刷版)2155-5753

会议

会议16th International Radar Symposium, IRS 2015
国家/地区德国
Dresden
时期24/06/1526/06/15

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