顾及MLE的IGS坐标时间序列噪声模型特性分析  

Establishment of IGS coordinate time series noise model and its influence on station speed based on MLE

作　　者：王子舆 李仲勤 WANG Ziyu;LI Zhongqin(Faculty of Geomatics, Lanzhou Jiaotong University, Lanzhou 730070,China)

机构地区：[1]兰州交通大学测绘与地理信息学院,甘肃兰州730700

出　　处：《全球定位系统》2019年第1期108-112,共5页Gnss World of China

基　　金：国家重点研发计划(2017YFF0207506);现代工程测量国家测绘地理信息局重点实验室(TJES1810)

摘　　要：以30个GPS基准站坐标序列为对象,提出分别采用赤池信息量准则(AIC)与贝叶斯信息准则(BIC)噪声模型估计准则判定GPS时间序列噪声特性,对比分析GPS时间序列噪声模型特性,探讨不同噪声模型对GPS站速度及其不确定度的影响.结果表明GPS站坐标序列噪声模型主要表现为FN+WN、PL及FN+RW+WN噪声模型特性;FN+WN噪声模型对GPS站速度估计值的影响相对较小,但在U分量影响最为明显;此外,RW对站速度不确定度的影响不可忽略,正确获取模型参数估计的实际不确定度及改正噪声分量对于合理应用GPS坐标时间序列数据具有重要的意义.Based on the coordinates of 30 GPS base stations,the noise characteristics of GPS time series are determined by AIC and BIC noise model estimation criteria respectively.The characteristics of GPS time series noise model are compared and analyzed.Determine the impact of the degree.The results show that the GPS station coordinate sequence noise model mainly shows the characteristics of FN+WN,PL and FN+RW+WN noise models;the influence of different noise models on the GPS station speed estimation is relatively small,but the U component is the most obvious;In addition,the influence of RW on station speed uncertainty can not be neglected.It is of great significance to correctly obtain the actual uncertainty of model parameter estimation and correct the noise component for the reasonable application of GPS coordinate time series data.

关 键 词：AIC BIC GPS坐标时间序列 噪声模型估计 

分 类 号：P228.41[天文地球—大地测量学与测量工程]