摘要
通过解算北斗卫星基线单历元时间序列,分析其误差特性,时间序列中主要包含周期性误差及高频噪声的影响。本文通过使用中值滤波和小波分析等去噪方法,对时间序列中的高频噪声进行滤波,实验结果表明,高频噪声接近正态分布特性,可归类于偶然误差,通过滤波能得到较好地抑制,小波分析相对而言更适合用于北斗单历元去噪。
The error characteristics of Beidou satellite base line single epoch time series are analyzed. We believe that the influence of periodic error and high-frequency noise is mainly included in the time series. In this paper, the high frequency noise in time series is filtered by means of median filtering and wavelet analysis. The experimental results show that the high frequency noise is close to the normal distribution characteristic, which can be classified as accidental error and can be better suppressed by filtering. The wavelet analysis is more suitable for Beidou single epoch de-noising.
作者
周韬
邓兴升
Tao Zhou;Xingsheng Deng(School of Traffic and Transportation Engineering, Changsha University of Science & Technology, Changsha Hunan)
出处
《测绘科学技术》
2018年第3期174-181,共8页
Geomatics Science and Technology
基金
湖南省研究生科研创新项目(CX2017B468)。
关键词
北斗单历元定位
时间序列
中值滤波
小波分析
Beidou Single Epoch Positioning
The Time Series
Median Filtering
Wavelet Analysis