基于模糊逻辑的双偏振天气雷达地物杂波识别算法

Ground Clutter Recognition Algorithm of Dual Polarization Weather Radar based on Fuzzy Logic

多普勒天气雷达探测到的雷达回波通常受到某些非气象因素的干扰,影响雷达资料的量化应用,故在雷达数据应用之前,应对其进行质量控制,地物杂波的识别与剔除是质量控制的关键内容之一。利用降水粒子与地物的相态差异,在模糊逻辑算法基础上,引入差分反射率因子垂直纹理参数进行地物杂波剔除。首先,根据雷达资料相关特征参数的概率分布情况,建立对应的梯形隶属函数;其次,选取合适的阈值,利用单参数法和改进的模糊逻辑法对双偏振天气雷达数据中的地杂波进行识别和剔除;最后,通过对比分析单参数剔除地物杂波方法与本文方法对地物杂波剔除的效果可得出结论,该偏振参量的引入能够有效地识别并剔除地物杂波。

The radar echo detected by Doppler weather radar is usually interfered by some non-meteorological factors,which affects the quantitative application of radar data,so the quality control of radar data should be carried out before the application of radar data.the identification and elimination of ground clutter is one of the key contents of quality control.In this paper,based on the phase difference between precipitation particles and ground objects,the differential reflectivity factor vertical texture parameter is introduced to eliminate ground clutter on the basis of fuzzy logic algorithm.First of all,according to the probability distribution of the relevant characteristic parameters of radar data,the corresponding trapezoidal membership function is established;secondly,select appropriate thresholds and then use the single parameter method and the improved fuzzy logic method to identify and eliminate the ground clutter in the polarization weather radar data.Finally,by comparing and analyzing the effect of single-parameter clutter elimination method and this method on ground clutter elimination,it can be concluded that the introduction of the polarization parameter can effectively identify and eliminate ground clutter.