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The Interaction Between Faraday Rotation and System Effects in Synthetic Aperture Radar Measurements of Backscatter and Biomass

机译:背向散射和生物质合成孔径雷达测量中法拉第旋转与系统效应的相互作用

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摘要

For long-wavelength space-based radars, such as the P-band radar on the recently selected European Space Agency BIOMASS mission, system distortions (crosstalk and channel imbalance), Faraday rotation, and system noise all combine to degrade the measurements. A first-order analysis of these effects on the measurements of the polarimetric scattering matrix is used to derive differentiable expressions for the errors in the polarimetric backscattering coefficients in the presence of Faraday rotation. Both the amplitudes and phases of the distortion terms are shown to be important in determining the errors and their maximum values. Exact simulations confirm the accuracy and predictions of the first-order analysis. Under an assumed power-law relation between σhv and the biomass, the system distortions and noise are converted into biomass estimation errors, and it is shown that the magnitude of the deviation of the channel imbalance from unity must be 4-5 dB less than the crosstalk, or it will dominate the error in the biomass. For uncalibrated data and midrange values of biomass, the crosstalk must be less than -24 dB if the maximum possible error in the biomass is to be within 20% of its true value. A less stringent condition applies if the amplitudes and phases of the distortion terms are considered random since errors near the maximum possible are very unlikely. For lower values of the biomass, the noise becomes increasingly important because the σhv signal-to-noise ratio is smaller.
机译:对于长波空基雷达,例如最近选择的欧洲宇航局BIOMASS任务的P波段雷达,系统失真(串扰和信道不平衡),法拉第旋转和系统噪声都会使测量质量下降。这些对偏振散射矩阵测量结果的影响的一阶分析用于推导存在法拉第旋转时偏振反向散射系数误差的微分表达式。失真项的幅度和相位都显示出对确定误差及其最大值很重要。精确的模拟确认了一阶分析的准确性和预测。在σhv和生物质之间假定的幂律关系下,系统失真和噪声转换为生物质估计误差,并且表明,通道失衡与单一性的偏差幅度必须小于4-5 dB。串扰,否则它将主导生物质中的误差。对于未校准的数据和生物质的中间值,如果生物质的最大可能误差在其真实值的20%以内,则串扰必须小于-24 dB。如果认为失真项的幅度和相位是随机的,则采用不太严格的条件,因为极不可能出现接近最大可能的误差。对于较低的生物质值,由于σhv信噪比较小,因此噪声变得越来越重要。

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    Quegan S.; Lomas M.R.;

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  • 年度 2015
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