北京大学学报：自然科学版2011，Vol.47Issue(4)：587-592,6.
单频精密单点定位中基于卡尔曼滤波的、自适应导航算法
Adaptive Kalman Filter Based Navigation Algorithm for Single-Frequency Precise Point Positioning
摘要
Abstract
A real-time resolving algorithm for single-frequency precise point positioning is presented. Based on Kalman filter, the observations on single frequency are processed in kinetic situations, and good precision can be obtained without static initialization. Innovation-based adaptive Kalman filter is improved to make the algorithm precise and robust in kinetic situations. In order to correct ionosphere influence effectively, the ionosphere delay on zenith is estimated in filtering process using spherical shell model when more than 5 satellites are available. Applications on practical data and kinetic simulations prove the effectiveness of this algorithm in both static and kinetic situations.关键词
动态单点定位/载波相位/单频/电离层修正Key words
kinetic point positioning/carrier phase/single frequency/ionospheric refraction correction分类
信息技术与安全科学引用本文复制引用
陆晨曦,谭云华,朱柏承,周乐柱..单频精密单点定位中基于卡尔曼滤波的、自适应导航算法[J].北京大学学报：自然科学版,2011,47(4):587-592,6.基金项目
国家自然科学基金和中国工程物理研究院联合基金（11076001）资助 （）
