地理空间信息2024，Vol.22Issue(6)：15-19,5.DOI:10.3969/j.issn.1672-4623.2024.06.004
基于最佳线性无偏预测的精密单点定位方法
Precise Point Positioning Method Based on Best Linear Unbiased Predictor
摘要
Abstract
In satellite navigation and positioning,Kalman filter is a common method to process massive observation data quickly and calculate the position coordinates accurately.To solve the problem that the approximate values of some parameters need to be calculated as prior informa-tion in actual positioning,we introduced the best linear unbiased predictor theory to estimate the initial values of parameters without prior infor-mation and replace the unknown prior variance of parameters with the variance of the residual.In the static and dynamic situations,we carried out the undifferenced and uncombined precise point positioning experiments,and compared with traditional filtering methods.The results show that the precise point positioning algorithm based on the best linear unbiased predictor can estimate the initial mean and variance of parameters without prior information,and the positioning accuracy is consistent with that of Kalman filter.关键词
最佳线性无偏预测/卡尔曼滤波/精密单点定位Key words
best linear unbiased predictor/Kalman filter/precise point positioning分类
天文与地球科学引用本文复制引用
陈寅秋,李英冰,曾文宪..基于最佳线性无偏预测的精密单点定位方法[J].地理空间信息,2024,22(6):15-19,5.基金项目
国家自然科学基金资助项目(42174049). （42174049）
