Research on Eigenvalue Decomposition Algorithm: —Based on Polarization Calibration

Su-An Yun
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Abstract

Due to the randomness of the initial phase of the vector network analyzer, there will be a large error when the polarization characteristic parameter $\mathbf{H}/\overline{\alpha}$ measured by using it. In this paper, a method of measuring and calibrating the full polarization scattering matrix by using vector network analyzer is proposed to obtain the polarization characteristic parameter $\mathbf{H}/\overline{\alpha}$. Firstly, the measurement system of the full polarization scattering matrix is constructed, and then the polarization scattering matrix is calibrated by the disk, 0°and 22.5°dihedrals. Finally, the error caused by the randomness of the initial phase of the vector network analyzer is eliminated, and the accurate measurement of the polarization characteristic parameter $\mathbf{H}/\overline{\alpha}$ is realized. The results show that the error of the scattering angle $\overline{\alpha}$ obtained by polarization calibration is less than 3 degrees compared with the theoretical value, which indicates that the polarization characteristic parameter $\mathbf{H}/\overline{\alpha}$ of the target can be accurately obtained by measuring and calibrating the amplitude and phase of the polarization scattering matrix.
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基于极化标定的特征值分解算法研究
由于矢量网络分析仪初始相位的随机性,使用它测量偏振特性参数$\mathbf{H}/\overline{\alpha}$时,会有较大的误差。本文提出了一种利用矢量网络分析仪对全偏振散射矩阵进行测量和校准的方法,以获得偏振特性参数$\mathbf{H}/\overline{\alpha}$。首先,构建了全极化散射矩阵测量系统,然后分别用圆盘、0°和22.5°二面体对极化散射矩阵进行标定。最后,消除了矢量网络分析仪初始相位随机性带来的误差,实现了极化特征参数$\mathbf{H}/\overline{\alpha}$的精确测量。结果表明,极化标定得到的散射角$\overline{\alpha}$与理论值相比误差小于3度,表明通过测量和标定极化散射矩阵的幅值和相位,可以准确获得目标的极化特性参数$\mathbf{H}/\overline{\alpha}$。
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