Identification and Suppression of Nonmeteorological Echoes Using Spectral Polarimetric Processing
Identification and Suppression of Nonmeteorological Echoes Using Spectral Polarimetric Processing
复制标题
使用光谱偏振处理识别和抑制非气象回波
DOI：
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发表时间：
2015
影响因子：
8.2
通讯作者：
V. Chandrasekar
中科院分区：
文献类型：
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作者：
Laura Alku;D. Moisseev;Tuomas Aittomäki;V. Chandrasekar
非气象雷达信号的存在，如海杂波、鸟和箔条，对不同地区的气象服务是一个持续的挑战。在本文中，我们使用共极性相关系数，微分反射率和微分相位的光谱分解来分配这些信号的隶属函数。此外，我们还应用了双偏振光谱分解技术来识别和抑制雷达观测中的非气象回波。用赫尔辛基大学c波段Kumpula雷达的观测资料说明了极化光谱滤波器的性能。结果表明，光谱偏振滤波器可能是一种较好的非气象信号减缓方案。
The presence of nonmeteorological radar signals, such as sea clutter, birds, and chaff, is a continuous challenge for meteorological services in different regions. In this paper, we assign membership functions to these signals using spectral decompositions of copolar correlation coefficient, differential reflectivity, and differential phase. Additionally, we apply the dual-polarization spectral decomposition technique to identify and suppress nonmeteorological echoes present in radar observations. The performance of the polarimetric spectral filter is illustrated in observations from the C-band Helsinki University Kumpula radar. The results show that the spectral polarimetric filter may be a suitable solution for the mitigation of these nonmeteorological signals.