GPS定位误差分析与建模

目的研究ＧＰＳ（全球定位系统）定位误差数据的数学模型．方法采用时间序列方法对原始数据进行分析，用周期图法提取周期项误差，用波克斯－詹金斯方法对平衡随机序列建模．结果该模型可用来提高ＧＰＳ定位精度，结论ＧＰＳ定位误差数据属于非平衡时间序列，包括周期项序列和平衡随机项序列，其中周期项序列的最大隐含周期为１０ｍｉｎ，平稳随机项序列符合ＡＲ（１）模型．

Analysis and Modeling of GPS Postioning Error

Time To determine the mathematical model of GPS positioning error data. Methods Time series procesing method was used to analyze the initial data,while period graph technique used in extracting the periodic error and Box-Jenkins method used in modeling the stable stochastic process Results The model can be used to improve the GPS positioning precision. Conclusion The GPS positioning error belongs to unstable time series process, composed of periodic process and stable stochastic process. The most hidden-period existing in the periodic process is 10 min and the stable stochastic processbelongs to AR ( 1 ).