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基于SR-UKF的高动态GPS信号参数估计
引用本文:杨少委,张旭东.基于SR-UKF的高动态GPS信号参数估计[J].通信技术,2010,43(9):9-11.
作者姓名:杨少委  张旭东
作者单位:电子科技大学,电子科学技术研究院,四川,成都,610054
摘    要:高动态环境下,全球定位系统(GPS)信号具有较强的非线性特性,为了更好地对高动态条件下的GPS信号载波进行跟踪,提出了一种基于平方根UKF(SR-UKF)算法的高动态GPS信号参数估计方法。分析了高动态环境下GPS信号载波相位模型,运用SR-UKF算法对高动态GPS信号的载波相位及其前三阶导数进行估计。仿真对比了SR-UKF、不敏卡尔曼滤波(UKF,Unscented Kalman Filter)和扩展卡尔曼滤波(EKF)载波跟踪算法的性能。仿真结果表明,SR-UKF的估计精度要好于EKF,与UKF基本一致,验证了该算法的可靠性和有效性。

关 键 词:高动态  平方根不敏卡尔曼滤波  全球定位系统  参数估计

Parameter Estimation of Highly Dynamic GPS Signal based on Square Root Unscented Kalman Filter
YANG Shao-wei,ZHANG Xu-dong.Parameter Estimation of Highly Dynamic GPS Signal based on Square Root Unscented Kalman Filter[J].Communications Technology,2010,43(9):9-11.
Authors:YANG Shao-wei  ZHANG Xu-dong
Affiliation:(Research Institute of Electronic Science and Technology,University of Electronic Sciences and technology of China,Chengdu Sichuan 610054,China)
Abstract:GPS signal has strong nonlinear characteristics under highly dynamic circumstance.For tracking the highly dynamic GPS carrier,an algorithm based on the square root Unscented Kalman filter (UKF) is proposed to estimate the parameters of highly dynamic GPS signal.The model of highly dynamic GPS carrier phase is analyzed.The SR-UKF estimator is designed for the phase and its first three-order derivatives of GPS signal in highly dynamic circumstance.For comparison with UKF and EKF,SR-UKF is simulated with MATLAB.The simulation result shows that the estimation precision of SR-UKF is better than that of EKF and the same as that of UKF,and the algorithm is feasible and efficient.
Keywords:highly dynamic  SR-UKF  GPS  parameter estimation
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