A new algorithm has been proposed for frequency scaling of rain attenuation. It uses the real‐time estimates of a spatial variation index in the rain rate profile suggested in simple atmospheric model (SAM) to obtain the scaled attenuation. Measured data are used to validate the algorithm which showed a typical accuracy of better than 2.5 dB for 95% confidence. The time profile of a model parameter derived from measured values has also been effectively utilized to envisage the rain cell movement, particularly for high elevation conditions. Simulated data with predefined rain rate profiles were also used for validations. The relative contributions of the model error and the measurement noise to the final error were obtained. The errors are attributed to the modelling mismatch and intermediate parameter estimation error. The estimation accuracy of the algorithm was found to worsen with reducing elevation. The overall error remains within 3 dB for 0.5 dB of measurement noise and up to lowest elevation of 30°. The simple approach of the model in conjunction with the adequate accuracy makes this algorithm a potential candidate to be used for real‐time open‐loop fade mitigation.

中文翻译：

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一种简单的实时频率缩放技术，用于降雨衰减及其性能

提出了一种新的雨衰频率定标算法。它使用在简单大气模型（SAM）中建议的降雨率剖面中的空间变化指数的实时估计来获得比例衰减。测量的数据用于验证该算法，该算法在95％的置信度下显示出优于2.5 dB的典型精度。从测量值得出的模型参数的时间曲线也已有效地用于设想雨单元的运动，特别是在高海拔条件下。具有预定义的降雨率曲线的模拟数据也用于验证。获得了模型误差和测量噪声对最终误差的相对贡献。误差归因于建模不匹配和中间参数估计误差。发现算法的估计精度随着高度的降低而变差。对于0.5 dB的测量噪声和最高30°的最低仰角，总误差保持在3 dB以内。该模型的简单方法以及足够的精度使该算法成为实时开环衰减缓解的潜在候选者。