新一代天气雷达风轮机杂波识别和剔除

针对新一代天气雷达数据存在风轮机杂波污染问题，统计分析了5种雷达基数据特征量，风轮机杂波具有较高的反射率因子隆起度和水平通道信噪比隆起度以及较大的速度奇异率，其信号质量指数接近1，谱宽接近0或大于7.0 m·s^-1。以特征量统计结果为基础，使用模糊逻辑算法对雷达基数据中的风轮机杂波进行特征识别，结果显示，模糊逻辑算法能有效地把风轮机杂波从各种强度的气象降水回波和固定地物杂波中识别出来。针对被识别出来的风轮机杂波，使用区域平均插值方法对雷达基数据中的风轮机杂波进行剔除，杂波剔除结果显示，气象降水条件下获得了较好的风轮机杂波剔除效果。

Wind turbine clutter identification and suppression for CINRAD

In order to suppress the wind turbine clutter (WTC) in CINRAD, the statistical analysis of 5 characteristic quantities from radar base data is present. The WTC has higher reflectivity uplift and horizontal channel SNR (signal-to-noise ratio) uplift and bigger singular velocity, the signal quality index is close to 1, and the spectral width is close to 0 or greater than 7.0 m·s^-1. Based on the statistical results of characteristic quantities, the fuzzy logic algorithm is used to identify the WTC from the base data. The identification results show that the WTC can be effectively identified from the meteorological precipitation echoes and the fixed ground clutter by the fuzzy logic algorithm. Then the regional average interpolation is used to suppress the identified WTC from the base data. The clutter suppression results show that the WTC suppression effect is better in the case of meteorological precipitation.