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Automatic Pairing 2-D Direction Estimation Using Uniformly but Sparsely Spaced Electromagnetic Vector Sensor  ( SCI-EXPANDED收录 EI收录)   被引量:1

文献类型:期刊文献

中文题名:Automatic Pairing 2-D Direction Estimation Using Uniformly but Sparsely Spaced Electromagnetic Vector Sensor

英文题名:Automatic Pairing 2-D Direction Estimation Using Uniformly but Sparsely Spaced Electromagnetic Vector Sensor

作者:Liu Zhaoting[1,2];Liu Zhong[2]

机构:[1]Shaoxing Univ, Dept Elect Engn, Shaoxing 312000, Peoples R China;[2]Nanjing Univ Sci & Technol, Dept Elect Engn, Nanjing 210094, Jiangsu, Peoples R China

年份:2012

卷号:21

期号:3

起止页码:505

中文期刊名:电子学报:英文版

外文期刊名:CHINESE JOURNAL OF ELECTRONICS

收录:SCI-EXPANDED(收录号:WOS:000306618700023)、CSTPCD、、EI(收录号:20123115301825)、Scopus(收录号:2-s2.0-84864413705)、WOS

语种:英文

中文关键词:电磁矢量传感器;方位估计;均匀;配对;特征向量;方向余弦;多项式的根;线性阵列

外文关键词:Automatic pairing; Polynomial rooting; Direction of arrival (DOA); Electromagnetic vector sensor; Uniform linear array (ULA)

外文摘要:A new polynomial-rooting-based algorithm with two parallel uniform linear arrays of dipole-triads is proposed for estimating two dimensional (2-D) Directions of arrival (DOAs) of multiple source signals. The proposed algorithm derives the direction cosine estimates along x-axis and y-axis, successively, from polynomial roots and eigenvectors associated with the roots. When the inter-vector sensor spacing exceeds a half-wavelength, the derived direction cosine estimates are ambiguous. Fortunately, the eigenvectors can also be straightforwardly used to yield dipole-triad's manifold estimates, thus the ambiguities can be resolved using the manifold estimates. Unlike other existing ESPRIT-based algorithm, our algorithm can achieve automatic pairing without any additional processing. Numerical examples are presented to verify the effectiveness of the proposed method.

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