Prophet模型在GNSS坐标时间序列中的插值分析

Interpolation Analysis of Prophet Model in GNSS Coordinate Time Series

针对GNSS坐标时间序列中存在数据缺失的问题,提出将Prophet模型应用于GNSS坐标时间序列的插值中。设计不同的数据随机缺失比例和连续缺失长度,使用Prophet模型、拉格朗日法和三次样条法进行对比实验。结果表明,Prophet模型在GNSS坐标时间序列中具有更高的插值精度并能够保持较好的稳定性,且对于连续缺失的数据插值有着明显的优势。

Aiming at the problem of data missing in GNSS coordinate time series,this paper proposes to apply the Prophet model to the interpolation of GNSS coordinate time series.Through the design of different data random missing proportion and continuous missing length,we use the Prophet model,Lagrange and cubic spline method to carry out comparative experiments.Experimental results show that the Prophet model has higher interpolation accuracy and better stability in GNSS coordinate time series,and has obvious advantages for continuous missing data interpolation.