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投稿时间:2018-02-08 修订日期:2018-09-17
投稿时间:2018-02-08 修订日期:2018-09-17
中文摘要: 本文首先对多普勒天气雷达有源干扰回波形成的原因进行了分析,进一步分析了不同类型有源干扰回波的PPI图像形态特征。提出反射率因子径向能量以及径向能量一阶差分的概念,并使用径向能量一阶差分识别有源干扰回波所在的方位。算法针对北京、长沙、汕头、岳阳等多个地(市)的雷达数据进行了试验,结果表明该算法对于各种形态的有源干扰回波,均能准确识别其所在方位。特别是当多处干扰回波同时存在,以及干扰回波与降水回波混合存在时,算法也能有效进行识别并滤除有源干扰回波,较完整保留降水回波。
Abstract:In this paper, the reasons of the active jamming echo formation from the Doppler weather radar, and the morphological characteristics of PPI images from different types of active jamming echoes are analyzed. The concepts of radial energy of reflectivity factor and the first order difference of radial energy are put forward, and the azimuth of active disturbance echo is identified by using the first order difference of radial energy. Algorithm for the radar data from several cities such as Beijing, Changsha, Shantou, Yue yang is tested. The results show that the algorithm for various forms of active jamming echoes can accurately identify their locations. Especially when multiple locations interference echoes appear at the same time and interference echo coexists with precipitation echo, the algorithm is still able to identify and filter active jamming echo, retaining the whole precipitation echo.
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基金项目:公益性行业(气象)科研专项(GYHY201206010)和湖南省气象局重点项目(XQKJ16A003)共同资助
引用文本:
黄小玉,彭洁,毛紫阳,尹新怀,2019.多普勒天气雷达有源干扰回波识别算法研究[J].气象,45(3):371-380.
HUANG Xiaoyu,PENG Jie,MAO Ziyang,YIN Xinhuai,2019.Analysis of Algorithm for Identifying Active Jamming Echo from Doppler Weather Radar[J].Meteor Mon,45(3):371-380.
黄小玉,彭洁,毛紫阳,尹新怀,2019.多普勒天气雷达有源干扰回波识别算法研究[J].气象,45(3):371-380.
HUANG Xiaoyu,PENG Jie,MAO Ziyang,YIN Xinhuai,2019.Analysis of Algorithm for Identifying Active Jamming Echo from Doppler Weather Radar[J].Meteor Mon,45(3):371-380.