国防科技大学学报2017，Vol.39Issue(6)：12-18,7.DOI:10.11887/j.cn.201706003
时间跨度对GPS坐标序列噪声模型及速度估计影响分析
Effect of time span on GPS time series noise model and velocity estimation
摘要
Abstract
The time series of 72 international GPS service core stations were selected to make perform analysis on GPS noise model and uncertainties of the velocity.An improved Akaike information criteria and a Bayesian information criteria model were developed to evaluate different combinations of noise model,so as to establish the best noise model of GPS time series and gain the aureate velocity parameters.Results show that the noise model of GPS time series cannot be described as simple noise,it tends to showing diversity,and can be best described by power-law,generalized Gauss Markov,flicker noise plus white noise model,and its three components exhibit different noise characteristics.With the time span increases,the optimal noise model of time series,GPS station velocity and its uncertainty tends to be convergent and steady.Besides,the proportion of random walk noise is proved to increase as time span increases.The final results show that the time span of more than 10 years is an ideal noise model estimation scale.关键词
时间序列分析/噪声模型估计/速度不确定性/赤池信息量准则/贝叶斯信息量准则Key words
time series analysis/noise model estimation/velocity uncertainty/Akaike information criteria/Bayesian information criteria分类
天文与地球科学引用本文复制引用
贺小星,花向红,鲁铁定,余科根,宣伟..时间跨度对GPS坐标序列噪声模型及速度估计影响分析[J].国防科技大学学报,2017,39(6):12-18,7.基金项目
国家自然科学基金资助项目(41464001,41674005,41504025) （41464001,41674005,41504025）
江西省数字国土重点实验室开放研究基金资助项目(DLLJ201701) （DLLJ201701）
江西省自然科学基金资助项目(20171BAB203032,20161BAB213087) （20171BAB203032,20161BAB213087）
江西省教育厅科学技术研究资助项目(GJJ150523) （GJJ150523）
