New Faraday Rotation Estimators Based on Polarimetric Covariance Matrix
New Faraday Rotation Estimators Based on Polarimetric Covariance Matrix
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基于极化协方差矩阵的新型法拉第旋转估计器
DOI：
10.1109/lgrs.2013.2250478
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发表时间：
2014-01-01
影响因子：
4.8
通讯作者：
Liang, Diannong
中科院分区：
文献类型：
--
作者：
Li, Li;Zhang, Yongsheng;Liang, Diannong
星载合成孔径雷达（SAR）系统工作在较低的频率，如p波段，受法拉第旋转（FR）的显著影响。增益角估计受加性噪声、系统不平衡和串扰的影响。利用线性极化协方差矩阵数据，提出了两种新的FRA估计方法。这些估计量的假设比真实散射矩阵的互易性更松散，而真实散射矩阵的互易性是对所有已有估计量的假设。通过ALOS PALSAR全pol数据处理验证了该估计方法的有效性。仿真结果表明，该方法对系统幅值不平衡敏感，但对系统相位不平衡具有特别高的鲁棒性。因此，根据误差的类型和大小，所提出的估计量可以作为FRA估计的候选。
Spaceborne synthetic aperture radar (SAR) systems operating at lower frequencies, such as P-band, are significantly affected by Faraday rotation (FR). FR angle (FRA) estimation is affected by additive noise, system imbalance, and cross-talk. Two new FRA estimators are proposed from linearly polarized covariance matrix data. Assumptions of these estimators are looser than reciprocity of the true scattering matrix, which is assumed for all the pre-existing estimators. The new estimators are validated by ALOS PALSAR full-pol data processing. Simulation results show that one of the new methods is sensitive to system amplitude imbalance, but possesses particularly high robustness to system phase imbalance. Hence, the proposed estimators can be candidates for FRA estimation according to the type and magnitude of the errors.