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基于经验模分解的PPP时间比对数据消噪方法
引用本文:雷雨,赵丹宁.基于经验模分解的PPP时间比对数据消噪方法[J].宇航计测技术,2016,35(5):41.
作者姓名:雷雨  赵丹宁
作者单位:1、中国科学院国家授时中心,陕西西安 710600;; 2、中国科学院时间频率基准重点实验室,陕西西安 710600;; 3、中国科学院大学,北京 100049
摘    要:精密单点定位(PPP)时间比对数据会受到观测噪声的影响,因此对时间比对数据进行消噪是一项重要工作。提出一种基于经验模分解(EMD)的PPP时间比对数据消噪方法,并将该方法与Vondrak滤波方法的消噪效果进行对比。结果表明,两种方法的消噪效果相当,均能有效滤除PPP时间比对数据中的随机噪声,明显改善时间比对的稳定度。

关 键 词:时间比对    精密单点定位    经验模分解    消噪

De-noising Method for PPP Time Comparison Data based on EMD
LEI Yu,ZHAO Dan-ning.De-noising Method for PPP Time Comparison Data based on EMD[J].Journal of Astronautic Metrology and Measurement,2016,35(5):41.
Authors:LEI Yu  ZHAO Dan-ning
Institution:1、National Time Service Center, Chinese Academy of Sciences, Xi′an,Shanxi 710600; 2、Key Laboratory of Time and Frequency Primary Standards, Chinese Academy of Sciences, Xi′an,Shanxi 710600; 3、University of Chinese Academy of Sciences, Beijing 100049
Abstract:Time comparison realized by precise point positioning (PPP) can be easily influenced by random noise. Therefore, it is essential to separate noise from signals in time series. In this paper, an empirical mode decomposition (EMD) based de-nosing method for time comparison data firstly is presented. Furthermore, the proposed method is compared with the Vondrak filter. It is shown that the developed method is comparable with the Vondrak filter, and can improve the stability of time transfer noticeably.
Keywords:Time Comparison                                                                                                                        Precise Point Positioning (PPP)                                                                                                                        Empirical Mode Decomposition (EMD)                                                                                                                        De-nosing
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