文章摘要
周雪松1,孟金1,姚蔚2.一种基于快速傅里叶变换的多普勒天气雷达弱杂波识别方法[J].海洋气象学报,2019,39(4):43-51
一种基于快速傅里叶变换的多普勒天气雷达弱杂波识别方法
An identification method of weak Doppler weather radar clutter based on fast Fourier transform
投稿时间:2019-10-26  修订日期:2019-11-14
DOI:10.19513/j.cnki.issn2096-3599.2019.04.005
中文关键词: 快速傅里叶变换  多普勒天气雷达  弱径向杂波  回波识别
英文关键词: fast Flourier transform  Doppler weather radar  weak radial clutter  clutter identification
基金项目:山东省气象局重点科研项目(2019sdqxz04)
作者单位
周雪松1,孟金1,姚蔚2 (1. 山东省气象信息中心山东 济南 2500312. 山东省气象局机关服务中心山东 济南 250031) 
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中文摘要:
      多普勒天气雷达探测时常会出现电磁干扰和超折射等杂波干扰问题,通过对弱径向干扰回波的规律性特征分析,提出了一种基于快速傅里叶变换的多普勒天气雷达干扰回波识别算法,并成功应用于多普勒天气雷达径向干扰回波的识别中。研究表明,一些干扰回波具有明显的空间周期性规律,对反射率因子进行快速傅里叶变换,得到的频域上能量分布具有与常规回波明显的差异。依靠这些差异可以较好地对一些弱的干扰回波进行识别并剔除。该方法对径向上离散分布的干扰回波均有较好的识别能力,但对相对均匀和密实的径向干扰回波识别能力较弱。
英文摘要:
      During the detection by Doppler weather radar, clutter jamming such as electromagnetic interference and superrefraction is often encountered. Based on the analysis of the regular characteristics of weak radial clutters, an algorithm of Doppler weather radar clutter identification based on fast Fourier transform (FFT) is proposed, which has been successfully applied to the identification of Doppler weather radar radial clutters. The results show that some clutters have an obvious law of spatial periodicity. The distribution of energy in frequency domain obtained by FFT of reflectivity factor is obviously different from that of conventional echo. Depending on these differences, some weak clutters can be identified and excluded. This method has a good identification ability for radial clutters with discrete distribution, but a weak identification ability for relatively uniform and dense radial clutters.
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