基于模糊逻辑的X波段双偏振雷达地物回波识别方法

为提升天气雷达数据质量，减少地物杂波对天气雷达数据质量的影响和满足短临预报业务应用，需对地物杂波进行识别和剔除。采用绵阳机场X波段双偏振天气雷达数据资料，选取4个特征参量，运用模糊逻辑算法结合层次分析法，确定识别地物杂波的隶属度函数及特征参量的权重，得出每个回波点是地物的可能性，进行识别和剔除。结果表明：该方法能清晰体现出各个参量在对地物识别时的贡献值，提升地物回波识别效果，提高雷达数据质量。

Ground Object Echo Recognition Method of X-band Dual-polarization Radar Based on Fuzzy Logic

In order to improve the quality of weather radar data, reduce the influence of ground object clutter on weather radar data quality, and meet the application of short-term forecasting services, it is necessary to identify and eliminate ground object clutter. Using the dual-polarization weather radar data of Mianyang Airport X-band, four feature parameters were selected, and the fuzzy logic algorithm combined with the analytic hierarchy method was used to determine the membership function and the weight of the feature parameters for identifying the clutter of the feature, and the possibility that each echo point was a feature was obtained, and the identification and elimination were carried out. The results show that the proposed method can clearly reflect the contribution value of each parameter to the identification of ground objects, improve the effect of ground object echo recognition, and improve the quality of radar data.