首页> 外文会议>EUSIPCO 2008;European signal processing conference >DOA ESTIMATION FOR POLARIZED SOURCES ON A VECTOR-SENSORARRAY BY PARAFAC DECOMPOSITION OF THE FOURTH-ORDERCOVARIANCE TENSOR
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DOA ESTIMATION FOR POLARIZED SOURCES ON A VECTOR-SENSORARRAY BY PARAFAC DECOMPOSITION OF THE FOURTH-ORDERCOVARIANCE TENSOR

机译:用四阶协方差张量的帕拉菲分解对向量矢量上的极化源进行DOA估计

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In this paper we propose a novel stochastic algorithmfor direction of arrival (DOA) estimation of polarizedelectromagnetic sources impinging on a six-componentvector-sensor array, based on the PARAFAC decompositionof the fourth-order covariance tensor of the polarizeddata. The Cramér-Rao bound is derived and theperformance of the proposed method are compared to aprior trilinear deterministic version of the algorithm [1]and to MUSIC for polarized sources [2].
机译:在本文中,我们基于极化数据四阶协方差张量的PARAFAC分解,提出了一种新型的随机电磁算法,用于估计撞击在六分量矢量传感器阵列上的极化电磁源的到达方向(DOA)。推导了Cramér-Rao界,并将所提出方法的性能与算法的先前三线性确定性版本[1]和极化源的MUSIC进行了比较[2]。

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