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Regularized ESPRIT-based direction finding and polarization estimation with one electromagnetic vector sensor

机译:基于ESPRIT的基于ESPRIT的方向查找和偏振估计与一个电磁矢量传感器

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This contribution presents two versions of so-called regularized ESPRIT to jointly estimate 2-D directions-of-arrival (DOAs) and polarizations of multiple non-Gaussian independent polarized sources by using one electromagnetic (EM) vector sensor in the sense of regularized least squares (RLS) and regularized total least squares (RTLS), respectively. In the given two methods, second-order and fourth-order statistics are combined to restore the six-dimensional polarization-angular coherence structure for one EM vector sensor from which unambiguous joint estimation of 2-D DOAs and polarizations can be further obtained via a vector cross-product or a multi-phase-comparing procedure. Simulation results are also included to validate the proposed methods.
机译:该贡献提供了两个所谓的正则化ESPRIT版本,通过使用一个电磁(EM)矢量传感器在规则最少的情况下共同估计二维到达方向(DOAS)和偏振的多个非高斯独立极化源的偏振平方(RLS)和正则化总量最小二乘(RTL)。在给定的两种方法中,组合二阶和四阶统计以恢复一个EM矢量传感器的六维偏振角相干结构,从中可以通过a进一步获得从中的一个EM矢量传感器的六维偏振角相干结构,并且可以通过a进一步获得偏振的明确联合估计。矢量横向产品或多相比较程序。还包括仿真结果以验证所提出的方法。

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