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作 者:李静[1] 华夏 刘佳[1] 丁妍 LI Jing;HUA Xia;LIU Jia;DING Yan(Atmospheric Sounding Technology Assurance Center of Shanxi Province,Taiyuan 030002 China)
机构地区:[1]山西省大气探测技术保障中心,山西太原030002
出 处:《自动化技术与应用》2024年第10期108-111,共4页Techniques of Automation and Applications
摘 要:C波段多普勒天气雷达回波数据由雷达回波信号和噪声构成,噪声严重影响雷达基本反射率的准确性。利用EMD方法对雷达回波信号进行分解后,将含有噪声的高频IMF分量去除,可实现去噪,但是容易损失有用信号。针对有降水特征的雷达基本反射率数据,提出基于EMD和小波包变换的多普勒天气雷达回波去噪方法,并与EMD方法去噪结果进行比较。研究结果表明,该方法能更加有效地去除雷达回波信号中的噪声,并降低了信号特征损失。Doppler weather radar echo data consists of radar echo signal and noise,which seriously affects the accuracy of radar basic reflec-tivity.EMD method is used to decompose the radar echo signal,and the high-frequency IMF component containing noise is re-moved,which can realize denoising,but it is easy to lose useful signals.In this paper,according to the radar basic reflectivity data with the characteristics of precipitation,the echo denoising methods of Doppler weather radar based on EMD and wavelet packet transform are proposed,and the denoising results are compared with those of EMD.The results show that the method can effec-tively remove the noise from radar echo signal and reduce the loss of signal characteristics.
分 类 号:TP391.42[自动化与计算机技术—计算机应用技术]
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