【作者】 李变； 高玉平； 胡永辉；

【Author】 LI Bian~(1,2) GAO Yu-ping~1,HU Yong-hui~1 1 National Time Service Center,Chinese Academy of Sciences Xi ’an 710600 2 Graduate University of Chinese Academy of Sciences Beijing 100049

【机构】 中国科学院国家授时中心； 中国科学院研究生院；

【摘要】 测量噪声是影响GPS共视比对结果精度的主要因素之一,利用GPS共视技术进行高精度的时间传递时,首先必须解决观测数据的消噪问题。传统的去噪方法在保留信号局部特性和抑制噪声之间存在矛盾,基于小波分解的小波消噪方法在时域根据选定的小波基和分解层数,将信号分解成从高频到低频的不同频率段成分,具有良好的时频局部化性质,为解决这一问题提供了有力证据。通过分析了小波消噪方法,以国家授时中心和综合原子时蒲城站的GPS共视数据为例,将基于小波变换的软阈值消噪方法用于GPS CV比对数据的消噪处理,结果表明:该消噪方法在消除GPS CV比对数据测量噪声的同时,很好地保留了信号的局部特征。更多还原

【Abstract】 Measuring noises are one of the major factors to influence GPS Common View(GPS CV) comparison result precision.So it is the key to filter and smooth measuring noises from GPS CV observed data,when GPS CV is used to high precision time transfer.There are conflicts between keeping local peculiarity and control noises of a signal in traditional de-noise methods.Wavelet transform has favorable time and frequency localization feature,on which the de-noise mean may solve this problem.The eliminating methods based on wavelet transform were studied.This paper presents an application of the wavelet threshold de-noise to filtering random noise from GPS observed data with GPS CV observed data between National Time Service Center and Pucheng station in Joint Atomic Time of China system.The results show this de-noise is the effective method which may abstract useful signal and keep the local peculiarity of a signal well.更多还原