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GPS非差相位精密单点定位算法研究
引用本文:琚兴华.GPS非差相位精密单点定位算法研究[J].全球定位系统,2012,37(1):44-49.
作者姓名:琚兴华
作者单位:河南省有色金属地质矿产局第一地质大队,河南郑州,450016
摘    要:在VC++开发环境下编写了非差精密单点定位的软件,利用该软件分析了在给定不同初始方差的情况下,对滤波结果的影响,以及采用不同采样率的数据进行计算时,定位精度的比较。实验分析表明:选择合适的初始协方差能使滤波快速的收敛,选择的经验方差能使滤波达到较好的收敛速度,但对滤波稳定后的定位精度没有影响。通过不同采样率数据的定位结果比较证明了高采样率数据的定位精度高于低采样率数据的精度。

关 键 词:GPS定位  精密单点定位  误差模型  卡尔曼滤波估计

GPS Precise Point Positioning Algorithm Using One-way Phase Observations
JU Xing-hua.GPS Precise Point Positioning Algorithm Using One-way Phase Observations[J].Gnss World of China,2012,37(1):44-49.
Authors:JU Xing-hua
Institution:JU Xing-hua (No. 1 Geological Party of Henan Provincial Non-ferrous Metal and Geological and Mineral Resources Bureau, Zhengzhou Henan 450016, China)
Abstract:Software of precise point positioning is programmed with the Visual C+ +, the affection to the result by giving different initial covariance is analyzed, and the accuracy of result by using different sampling interval data is compared. The experiment indicates that appropriate initial covariance can make filter converge fast, empirical initial covariance can make the filter a fast convergent speed, but it does not affect the accuracy of result after the filter become steady. In the end, the results calculated by the data of different sampling interval are compared. It proves that the result with high sampling interval has a higher accuracy than that of low sampling interval.
Keywords:GPS positioning  precise point positioning  error model  Kalman filter esti-mate
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