摘要
选取全球范围内72个基准站的坐标序列,采用改进的赤池信息量准则、贝叶斯信息量准则对不同噪声模型组合进行噪声分析,得到基准站坐标序列的最优噪声模型及速度参数,探讨时间序列跨度对噪声模型及速度估计的影响。结果表明,基准站坐标序列噪声模型不能由单一的噪声模型表述,其呈现出多样性特征,主要表现为幂律噪声、高斯马尔科夫噪声、闪烁噪声+白噪声特征,且三坐标分量表现出不同的噪声特性;随着时间跨度的增加,坐标时间序列的最优噪声模型、GPS站速度及其不确定度逐渐由发散趋于收敛,随机游走噪声模型的比重有所增加。结果表明10 a以上的时间跨度是较为理想的噪声模型估计尺度。
The timeseries of 72 international GPS service corestations were selected to make perform analysison GPS noisemodeland 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 noisemodel of GPS timeseries cannotbe described as simple noise,it tends to showing diversity,and can be best described by power-law,generalized Gauss Markov,flicker noise plus white noisemodel,and its three components exhibit different noise characteristics.With the timespan 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.
作者
贺小星
花向红
鲁铁定
余科根
宣伟
HE Xiaoxin;HUA Xianghong;LU Tieding;YU Kegen;XUAN Wei(School of Geodesy and Ceomatis,Wuhan University,Wuhan 430079,China;School of Civil Engineering and Architeture,East China Jiaodong University.Nanchang 330013,China;Faculty of Geomatics,East China University of Technology.Nanchang 330013,China)
出处
《国防科技大学学报》
EI
CAS
CSCD
北大核心
2017年第6期12-18,共7页
Journal of National University of Defense Technology
基金
国家自然科学基金资助项目(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)
江西省自然科学基金资助项目(20171BAB203032
20161BAB213087)
江西省教育厅科学技术研究资助项目(GJJ150523)
作者简介
贺小星(1986-),男,江西萍乡人,讲师,博士,E-mail:hexiaoxing@whu.edu.cn
