摘要
该文主要针对北京无线电测量研究所生产的X波段相控阵天气雷达实际探测数据中出现的ΦDP数据偏差较大的问题,提出了数据杂波剔除算法、数据平滑算法及中值滤波算法。通过研究气象目标回波的关联性,给出根据相关系数与谱宽判别数据杂波的ΦDP数据质量控制方法;同时利用ΦDP的气象特性,提出了基于ΦDP自身特性的平滑算法。通过仿真算法的可行性可知,地杂波滤除率大于或等于85%,而无效数据滤除率大于或等于80%,达到了改善数据质量的目的。
Aiming at the large deviation of ΦDPdata in the actual detection data of X-band phased array weather radar produced by Beijing Institute of Ratio Measurement,this paper puts forward data clutter elimination algorithm, data smoothing algorithm and median filtering algorithm. By studying the correlation of meteorological target echo,the ΦDPdata quality control method for distinguishing ΦDPdata clutter according to correlation coefficient and spectral width is given. At the same time,using the meteorological characteristics of ΦDPdata itself,a ΦDPdata self smoothing algorithm is proposed. Through the feasibility of the simulation algorithm,the ground clutter filtering rate is greater than or equal to85%,and the invalid data filtering rate is greater than or equal to 80%.
作者
李岩松
孔龙时
魏艳强
齐涛
特韦塔
LI Yansong;KONG Longshi;WEI Yanqiang;QI Tao;Tweta Oo(Beijing Institute of Ratio Measurement,Beijing 100864,China;Meteorological Observation Centre of MCA,Beijing 100081,China;West Yangon Technological University,Yangon 11082,Myanmar)
出处
《电子设计工程》
2023年第5期7-11,共5页
Electronic Design Engineering
基金
国家重点研发计划资助(2016YFE0206900)。
