摘要
采用奇异谱迭代的区间四分法进行GPS坐标时间序列的插补。该方法基于自适应滤波的方法,从不完整的坐标时间序列中提取主要的特征成分完成插值,是对奇异谱迭代插值算法的改进。将本文方法与拉格朗日插值法进行比较发现,本文方法不仅拥有更高的插值精度,而且解决了奇异谱迭代插值的效率问题,计算效率得到很大提高。
This paper mainly uses the interval quartering algorithm of singular spectrum analysis itera- tive to do interpolation about GPS coordinate time series. This method extracts main characteristic components from an incomplete time series of coordinates by an adaptive filter. Based on the improved singular spectrum analysis iterative interpolation, it is then compared with the Lagrange interpolation method. Our research shows that the interval quartering algorithm of singular spectrum analysis itera- rive not only has higher interpolation precision, but also solves the interpolation efficiency problem. The computational efficiency is greatly improved.
出处
《大地测量与地球动力学》
CSCD
北大核心
2015年第6期1017-1020,1035,共5页
Journal of Geodesy and Geodynamics
基金
国家自然科学基金(41374014
41404034)
国家863计划(2013AA122501)
中国测绘科学研究院基本科研业务费(7771405)
数据处理中心项目(GFZX0301040308-06)
关键词
自适应滤波
时间序列
特征成分
奇异谱迭代的区间四分法
拉格朗日插值法
adaptive filter
time series
characteristic component
the interval quartering algorithm ofsingular spectrum analysis iterative~ Lagrange interpolation method
