摘要
结合某地壳运动GNSS观测网络,分析Vondrak滤波在时序数据分析中的有效性。先对GNSS时序数据进行粗差剔除和数据补全,再进行滤波平滑与消噪,然后将Vondrak滤波引入小波谱周期探测中进行平滑处理,滤去噪声影响。结果表明,经滤波后的GNSS时间序列曲线能更好地反映站点位移变化,不仅可以很好地保留有用信号,滤去高频噪声信号,减小均方根值,同时还能增强小波谱周期探测能力,改善谱图光滑度,提高数据分析结果的准确性。
Vsing the GNSS observation network data of crustal movement,the effectiveness of Vondrak filter in time series data analysis is analyzed in this paper.Gross error elimination and data completion are carried out,filtering,smoothing and denoising,and the Vondrak filter is conduct in the wavelet spectrum period detection to smooth and filter out the noise.The results show that the filtered GNSS time series curve can better reflect the change of stations displacement,not only can well retain useful signals,filter out high frequency noise signals,and reduce the root mean square value,but also can enhance the detection ability of wavelet spectral period,improve the smoothness of the spectrum,and improve the accuracy of data analysis results.
作者
余文星
YU Wenxing(Changjiang Delta(Jiaxing)Urban and Rural Construction Design Group Company Litited,Jiaxing,Zhejiang 314000,China)
出处
《测绘标准化》
2023年第1期73-78,共6页
Standardization of Surveying and Mapping
