基于UKF的高动态GPS信号参数估计研究  

Research on Parameter Estimation of High Dynamic GPS Signal Based on Unscented Kalman Filter

作　　者：吕艳梅 井荣华 吴国庆 李小民[3] 孙江生 

机构地区：[1]军械技术研究所,石家庄050000 [2]三三0二工厂,石家庄050034 [3]军械工程学院,石家庄050003

出　　处：《系统仿真学报》2008年第1期169-172,209,共5页Journal of System Simulation

基　　金：国家自然科学基金项目(F010103)

摘　　要：为了更好地适应高动态环境给GPS信号接收模型带来的非线性特性,提出了一种基于Unscented卡尔曼滤波(Unscented Kalman Filter,简称为UKF)技术的高动态GPS信号参数估计方法。在分析高动态GPS载波相位模型和UKF原理的基础上,设计了高动态UKF估计器,对高动态GPS信号的相位、多普勒频率、频率变化率和频率二阶导数等参数进行了估计。通过仿真分析了该估计器的估计性能,仿真结果表明该方法在高动态环境中可以很好地跟踪GPS接收机动态信号。A method of estimating high dynamic GPS signal parameters based on UKF is put forward, which adapts the nonlinear property of received GPS model coms from high dynamic circumstance more suitably. On the basis of analyzing the model of high dynamic circumstance GPS carder phase and the theory of UKF, the UKF estimator is designed for the parameters, which are phase, Doppler frequency, frequency rate and twice order frequency rate of GPS signal in high dynamic circumstance. Through simulation, the estimating performance is analyzed. The simulation result implies that UKF estimation can track the dynamic signal of GPS receiver in high dynamic circumstance.

关 键 词：高动态 GPS 参数估计 UKF 

分 类 号：TN911.72[电子电信—通信与信息系统]