计算机工程与科学2018，Vol.40Issue(4)：740-744,5.DOI:10.3969/j.issn.1007-130X.2018.04.022
基于扩展卡尔曼滤波的时钟模型辅助定位算法
An EKF-based clock-model-assisted positioning algorithm
摘要
Abstract
Navigation solution cannot be completed due to insufficient observable satellite signals blocked in urban canyons,deep pit mines,the surrounding forest and other application fields.This paper proposes a novel clock model-assisted positioning method,which uses pseudorange and Doppler observations to achieve real-time estimation of the receiver clock bias and clock drift parameters through an Extended Kalman Filter (EKF).The clock model is built and used to assist positioning in the absence of navigation signals.Simulation and vehicle test results show that this method can complete the real-time positioning solution when satellite navigation signals are missing,which makes the system availability significantly improved.关键词
扩展卡尔曼滤波/时钟模型/卫星导航/辅助定位算法Key words
EKF/clock model/satellite navigation/assist position algorithm分类
天文与地球科学引用本文复制引用
宋建材,候春萍,薛桂香..基于扩展卡尔曼滤波的时钟模型辅助定位算法[J].计算机工程与科学,2018,40(4):740-744,5.基金项目
国家自然科学基金(61101223) （61101223）
