基于时间序列的GPS误差建模及单点定位精度研究

研究了以数据处理方式提高GPS单点定位精度的方法，详细阐述了时间序列法在GPS误差一阶差分序列建模中的应用。根据实测数据建立了适合GPS误差一阶差分序列的AR(n)模型，采用最小二乘法求得了模型参数值；利用条件期望有效实现了误差序列的一步预测；通过对观测值的实时修正提高了普通GPS接收机的定位精度。文中最后得出的高程误差曲线图及误差概率分布图说明了该方法的有效性租可靠性。

GPS Error Modeling Based on Time Series and Research on the Accuracy of Point Positioning

A data processing algorithm was proposed to improve the GPS single point positioning accu?racy. Full details were provided on how to use time series analysis in the modeling of the first order dif-ferential series for the GPS error. The AR( n) model which is adopted to describe the first order dif?ferential series for the GPS error was derived from the observed data, and model parameter values were obtained using the least square method; one step prediction for the error series was effectively achieved by conditional expectation; positioning accuracy of ordinary GPS receivers was improved remarkably through online adjustment to the observation data. The simulated results show efficiency and reliability of the proposed method.