GNSS站坐标时间序列中的季节性信号常用固定振幅与相位的谐波函数建模,但实际上季节性信号的振幅和相位是时变的,具有调制性.为了准确提取季节性形变,本文提出了GNSS基准站调制季节性信号的均方根信息滤波(square root information filt...GNSS站坐标时间序列中的季节性信号常用固定振幅与相位的谐波函数建模,但实际上季节性信号的振幅和相位是时变的,具有调制性.为了准确提取季节性形变,本文提出了GNSS基准站调制季节性信号的均方根信息滤波(square root information filter, SRIF)估计方法.以GNSS基准站高程方向的坐标时间序列为研究对象,通过调整季节性信号的过程噪声标准差,实现了调制季节性信号估计;通过分析对比SRIF与Hector软件按不同方式对季节性信号建模得到的残差序列频谱图,确定了SRIF周年信号过程噪声标准差的经验值为0.01 mm;同时统计了两种季节性信号建模方式下估计的线性速度,发现高程方向上速度估值差异最大可达0.34 mm/a,说明估计调制季节性信号对准确提取线性速度,对建立更高精度的地球参考框架具有重要意义.展开更多
In just a few days after the New Year of 2007, Shenyang Research Institute of Foundry is celebrating its 50th anniversary. Here, on behalf of the entire body of our staff, who are still working hard in their positions...In just a few days after the New Year of 2007, Shenyang Research Institute of Foundry is celebrating its 50th anniversary. Here, on behalf of the entire body of our staff, who are still working hard in their positions of research, operation, production, profession management and service, I would like to extend our展开更多
Real-time satellite orbit and clock estimations are the prerequisite for Global Navigation Satellite System(GNSS)real-time precise positioning services.To meet the high-rate update requirement of satellite clock corre...Real-time satellite orbit and clock estimations are the prerequisite for Global Navigation Satellite System(GNSS)real-time precise positioning services.To meet the high-rate update requirement of satellite clock corrections,the computational efficiency is a key factor and a challenge due to the rapid development of multi-GNSS constellations.The Square Root Information Filter(SRIF)is widely used in real-time GNSS data processing thanks to its high numerical stability and computational efficiency.In real-time clock estimation,the outlier detection and elimination are critical to guarantee the precision and stability of the product but could be time-consuming.In this study,we developed a new quality control procedure including the three standard steps:i.e.,detection,identification,and adaption,for real-time data processing of huge GNSS networks.Effort is made to improve the computational efficiency by optimizing the algorithm to provide only the essential information required in the processing,so that it can be applied in real-time and high-rate estimation of satellite clocks.The processing procedure is implemented in the PANDA(Positioning and Navigation Data Analyst)software package and evaluated in the operational generation of real-time GNSS orbit and clock products.We demonstrated that the new algorithm can efficiently eliminate outliers,and a clock precision of 0.06 ns,0.24 ns,0.06 ns,and 0.11 ns can be achieved for the GPS,GLONASS,Galileo,and BDS-2 IGSO/MEO satellites,respectively.The computation time per epoch is about 2 to 3 s depending on the number of existing outliers.Overall,the algorithm can satisfy the IGS real-time clock estimation in terms of both the computational efficiency and product quality.展开更多
文摘In just a few days after the New Year of 2007, Shenyang Research Institute of Foundry is celebrating its 50th anniversary. Here, on behalf of the entire body of our staff, who are still working hard in their positions of research, operation, production, profession management and service, I would like to extend our
基金the project“Early-Warning and Rapid Impact Assessment with real-time GNSS in the Mediterranean(EWRICA)”Funded by the Federal Ministry of Education and Research,Germany.
文摘Real-time satellite orbit and clock estimations are the prerequisite for Global Navigation Satellite System(GNSS)real-time precise positioning services.To meet the high-rate update requirement of satellite clock corrections,the computational efficiency is a key factor and a challenge due to the rapid development of multi-GNSS constellations.The Square Root Information Filter(SRIF)is widely used in real-time GNSS data processing thanks to its high numerical stability and computational efficiency.In real-time clock estimation,the outlier detection and elimination are critical to guarantee the precision and stability of the product but could be time-consuming.In this study,we developed a new quality control procedure including the three standard steps:i.e.,detection,identification,and adaption,for real-time data processing of huge GNSS networks.Effort is made to improve the computational efficiency by optimizing the algorithm to provide only the essential information required in the processing,so that it can be applied in real-time and high-rate estimation of satellite clocks.The processing procedure is implemented in the PANDA(Positioning and Navigation Data Analyst)software package and evaluated in the operational generation of real-time GNSS orbit and clock products.We demonstrated that the new algorithm can efficiently eliminate outliers,and a clock precision of 0.06 ns,0.24 ns,0.06 ns,and 0.11 ns can be achieved for the GPS,GLONASS,Galileo,and BDS-2 IGSO/MEO satellites,respectively.The computation time per epoch is about 2 to 3 s depending on the number of existing outliers.Overall,the algorithm can satisfy the IGS real-time clock estimation in terms of both the computational efficiency and product quality.
