测绘科学技术学报2012，Vol.29Issue(2)：95-100,6.DOI:10.3969/j.issn.1673-6338.2012.02.005
平方根UKF及其在GNSS多径估计中的应用
Square-Root Unscented Kalman Filtering and Its Applications in GNSS Multipath Estimation
摘要
Abstract
Considering the dynamic systems in the presence of additive white Gaussian noise, combining square-root squre-root unscented Kalman filtering and unscented Kalman filtering with additive noise, squre-root un-scented Kalman filtering method without augmented state vector is proposed, and the according algorithm is deduced. The novel method has lower computational burden, better accuracy and better resistance to filter dispersion than traditional methods. The novel method is applied in GNSS multipath estimation, and it can estimate the parameters of the direct and multipath signal components efficiently and accurately. Simulant tests show the validity of the new methods proposed.关键词
加性高斯白噪声/无迹卡尔曼滤波/平方根无迹卡尔曼滤波/多径/多径估计Key words
A WON/ UKF/ SRUKF/ Multipath/ Multipath estimation分类
天文与地球科学引用本文复制引用
陈轲,归庆明,崔建勇,王婷婷..平方根UKF及其在GNSS多径估计中的应用[J].测绘科学技术学报,2012,29(2):95-100,6.基金项目
国家自然科学基金项目(40974009 （）
41174005) （）
河南省基础与前沿技术研究计划项目(082300410240) （082300410240）
郑州市科技计划攻关项目(0910SGYG21198). （0910SGYG21198）
