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基于小波变换的CORS高程坐标时序周期性分析与降噪方法研究
引用本文:魏冠军,陈晨,黄逸宇,魏浩林.基于小波变换的CORS高程坐标时序周期性分析与降噪方法研究[J].全球定位系统,2019,44(4):61-67.
作者姓名:魏冠军  陈晨  黄逸宇  魏浩林
作者单位:1.兰州交通大学 测绘与地理信息学院,甘肃 兰州 730070
摘    要:以香港连续运行参考站(CORS)网中的6个CORS的高程坐标时间序列数据为研究对象,利用小波多分辨分析从时频的角度来探测坐标时序中存在的周期性变化与非线性运动趋势,并采用小波变换阈值的方法对坐标时序进行降噪处理,根据不同的降噪质量评价指标来对比降噪效果.结果表明:高程坐标时序中存在极为明显的年周期与半年周期变化的特征,通过小波降噪可以有效地减弱或消除原始时序中的噪声信息,获得更接近理论分析的坐标时间序列. 

关 键 词:坐标时间序列    小波多分辨分析    周期特性    季节特征    小波降噪

Research on periodic analysis and noise reduction method of elevation coordinate timing of CORS based on wavelet transform
Affiliation:1.Faculty of Geomatics, Lanzhou Jiaotong University, Lanzhou 730070, China2.National-Local Joint Engineering Research Center of Technologies and Application for National? Geographic State Monitoring, Lanzhou 730070, China3.Gansu Provincial Engineering Laboratory for National Geographic State Monitoring, Lanzhou 730070, China
Abstract:Taking the elevation coordinate time series data of six CORS stations in Hong Kong CORS network as the research object, wavelet multi-resolution analysis is used to detect the periodic variation and nonlinear motion trend in the coordinate time series from the time-frequency angle. The threshold method performs noise reduction processing on the coordinate timing, and compares the noise reduction effects according to different noise reduction quality evaluation indexes. The results show that there are very obvious characteristics of annual cycle and semi-annual periodic variation in the elevation coordinate timing. The wavelet noise reduction can effectively eliminate or reduce the noise information in the original time series, and obtain the coordinate time series closer to the theoretical analysis. 
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