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

作　　者：陈轲[1] 归庆明[2] 崔建勇[1] 王婷婷[3] 

机构地区：[1]信息工程大学测绘学院,河南郑州450052 [2]信息工程大学理学院,河南郑州450001 [3]南阳理工学院建筑与规划学院,河南南阳473000

出　　处：《测绘科学技术学报》2012年第2期95-100,共6页Journal of Geomatics Science and Technology

基　　金：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);郑州市科技计划攻关项目(0910SGYG21198)

摘　　要：针对一般的加性高斯白噪声系统,结合平方根无迹卡尔曼滤波和加性噪声无迹卡尔曼滤波的优点,提出了无须增广变量的加性高斯白噪声系统的平方根无迹卡尔曼滤波方法,并给出了其详细算法。该算法较传统方法具有较小的运算负担,较高的精度,并能有效克服滤波的发散。该方法应用于卫星导航系统动态多径估计问题,能够高效准确地得到直射信号与多径信号的各个参数的估计,从而抑制多径的影响。仿真试验表明,该方法在诸多方面改进了已有方法,是一种高效准确的非线性滤波方法。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 unscented 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 

分 类 号：P207[天文地球—测绘科学与技术]