云雷达联合微波辐射计的水凝物识别研究

Recognition of water condensate by cloud radar and microwave radiometer

摘要: 为降低飞机飞行时的积冰风险，利用模糊逻辑算法和神经网络算法对云雷达联合微波辐射计探测数据进行水凝物分类研究.研究结果表明，两种算法均能有效地完成水凝物分类：模糊逻辑算法对退极化比极为敏感；神经网络算法可以区分水凝物是否存在和进行小粒径粒子分类，但对大粒径非球形粒子不敏感.本研究可从水凝物类型的角度对飞机积冰提供预警服务.

Abstract: In order to reduce the risk of ice accretion in flight, fuzzy logic algorithm and neural network algorithm are used to study the classification of water condensate from the detection data of cloud radar with microwave radiometer. The results show that the two algorithms can effectively complete the classification of water condensates: fuzzy logic algorithm is very sensitive to depolarization ratio; neural network algorithm can distinguish whether there is water condensates and classify small particles, but not large non spherical particles. This study can provide early warning service for aircraft icing from the perspective of the type of condensate.