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A nonlinear counts to antenna temperature algorithm for a total power radiometer with external calibration and noise diode injection

机译:带有外部校准和噪声二极管注入的总功率辐射计的非线性计数到天线温度算法

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The newest innovation to passive microwave remote sensing technology is the inclusion of noise diodes for radiometric calibration of total power radiometers. Instead of the usual two-point calibration using passive black body sources, now there are four-calibration noise levels, which allow system nonlinearities to be corrected. Conventional approaches linearize the radiometer output "rad_counts" (using the four-point calibration correction) and use a linear transfer function to calculate the antenna temperature (TA) at the radiometer input. This paper presents a novel approach of using a quadratic radiometer transfer function (with nonlinear rad_counts) to derive (TA). This algorithm is tested using on-orbit satellite measurements from the Global Precipitation Measurement (GPM) Microwave Imager (GMI). Empirical results are presented, which show only mille-Kelvin differences between this TA algorithm and the standard TA product provided by NASA.
机译:无源微波遥感技术的最新创新是包括噪声二极管,用于总功率辐射计的辐射校准。代替了通常使用无源黑体源进行的两点校准,现在有了四校准噪声级,可以校正系统非线性。常规方法使辐射计的输出“ rad_counts”线性化(使用四点校准校正),并使用线性传递函数来计算辐射计输入处的天线温度(TA)。本文提出了一种使用二次辐射计传递函数(具有非线性rad_counts)来推导(TA)的新颖方法。使用全球降水量测量(GPM)微波成像仪(GMI)的在轨卫星测量测试了该算法。给出了经验结果,该结果仅显示了该TA算法与NASA提供的标准TA产品之间的mille-Kelvin差异。

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