摘要
提出一种GPS定位误差序列建模的新方法。该方法首先利用多点平均方法提取误差序列的趋势项;然后利用样本周期图拟合周期项;最后对去掉趋势项和周期项的平稳随机序列进行分析,从而得到了GPS定位误差序列的组合预测模型。组合模型融合了各种基本建模方法的特色与优势,弥补了单个基本模型的缺陷与不足,有效提高了定位误差序列的预测准确度。利用实测数据,验证了方法的可行性与有效性。
A new method for building the model of GPS positioning error series is presented.Firstly,the multiple-point averaging and sample period graph is utilized to extract the trend and period term of the positioning error series respectively.Secondly,the residual series formed by taking out the trend term and the period term is predicted with auto-regressive model.Finally the combined model of positioning error series is proposed.The combined model syncretizes the characteristics and advantages of the three modeling methods effectively,and offsets the shortage of a single model.Test results are presented to demonstrate the feasibility and validity of the method in the end.
出处
《计算机工程与应用》
CSCD
北大核心
2009年第1期204-206,共3页
Computer Engineering and Applications
基金
教育部新世纪优秀人才支持计划~~
