天气雷达反射率基数据质量控制的几种算法

Algorithms on Quality Control of Weather Radar Reflectivity Base-Data

回顾了国内外针对基数据质量自动控制技术的研究进展;详细介绍了基于模糊逻辑的雷达回波分类算法、基于水平和垂直反射率结构的质量控制算法、基于神经网络的天气雷达数据质量控制方法的设计思想、计算步骤和适用范围,并对3种算法的优缺点进行了比较;最后对质量控制技术的发展作了展望。结果认为,基于水平和垂直反射率结构的质量控制算法可以有效地识别地物杂波,算法相对简单且效率较高,适合业务使用。

In this paper, the research progress on domestic and oversea radar base-data Quality Control （QC） technology is reviewed. Three algorithms, the radar echo classifying method based on fuzzy-logic, the QC algorithm based on reflectivity structure and the radar base-data QC algorithm based on neural network are introduced and compared on their design ideology, calculating process and applicability. And the future development of QC technology is also expected. The results show that the QC algorithm based on reflectivity structure can recognize ground clutters efficiently and simply, and it is recommended to be applied in operation.