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Biquaternion beamspace with its application to vector-sensor array direction findings and polarization estimations

机译:双四元数束空间及其在矢量传感器阵列方向发现和极化估计中的应用

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摘要

In this paper, a biquaternion beamspace, constructed by projecting the original data of an electromagnetic vector-sensor array into a subspace of a lower dimension via a quaternion transformation matrix, is first proposed. To estimate the direction and polarization angles of sources, biquaternion beamspace multiple signal classification (BB-MUSIC) estimators are then formulated. The analytical results show that the biquaternion beamspaces offer us some additional degrees of freedom to simultaneously achieve three goals. One is to save the memory spaces for storing the data covariance matrix and reduce the computation efforts of the eigen-decomposition. Another is to decouple the estimations of the sources’ polarization parameters from those of their direction angles. The other is to blindly whiten the coherent noise of the six constituent antennas in each vector-sensor. It is also shown that the existing biquaternion multiple signal classification (BQ-MUSIC) estimator is a specific case of our BB-MUSIC ones. The simulation results verify the correctness and effectiveness of the analytical ones.
机译:本文首先提出了一种双四元数波束空间,该空间是通过四元数变换矩阵将电磁矢量传感器阵列的原始数据投影到较低维度的子空间中而构成的。为了估计光源的方向和偏振角,然后制定了双四元数波束空间多信号分类(BB-MUSIC)估计器。分析结果表明,双四元数束空间为我们提供了额外的自由度,以同时实现三个目标。一种是节省用于存储数据协方差矩阵的存储空间,并减少本征分解的计算量。另一个方法是将光源的极化参数的估计与方向角的估计分离。另一种是盲目地变白每个矢量传感器中六个组成天线的相干噪声。还表明,现有的双四元数多信号分类(BQ-MUSIC)估计器是我们BB-MUSIC的一种特殊情况。仿真结果验证了分析方法的正确性和有效性。

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