首页> 外文会议>International Conference on Signal Processing(ICSP'04) vol.1; 20040831-0904; Beijing(CN) >Regularized ESPRIT-Based Direction Finding and Polarization Estimation with One Electromagnetic Vector Sensor
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Regularized ESPRIT-Based Direction Finding and Polarization Estimation with One Electromagnetic Vector Sensor

机译:一个电磁矢量传感器的基于正则化ESPRIT的测向和极化估计

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摘要

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:该贡献提出了两种形式的所谓的正则化ESPRIT,以通过使用一个最小化正则化意义上的电磁(EM)矢量传感器来共同估算多个非高斯独立极化源的二维到达方向(DOA)和极化平方(RLS)和正则化总最小二乘法(RTLS)。在给定的两种方法中,将二阶和四阶统计量结合起来以恢复一个EM矢量传感器的六维极化角相干结构,从中可以进一步通过二维DOA和极化的明确联合估计。向量叉积或多相比较过程。仿真结果也包括在内,以验证所提出的方法。

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