基于非线性滤波估计的北斗B1QPSK信号跟踪方法  

BeiDou B1 quadrature phase shift keying carrier tracking method based on nonlinear Kalman filter

作　　者：李荣冰[1] 黄隽祎[1] 刘建业[1] 谢非[1] 

机构地区：[1]南京航空航天大学导航研究中心,南京210016

出　　处：《控制与决策》2014年第9期1639-1643,共5页Control and Decision

基　　金：国家自然科学基金项目(61273057;91016019;60904091);航空科学基金项目(20100852010);南航基本科研业务费专项研究基金项目(NP201149)

摘　　要：复杂环境下的多普勒频移变化及信号功率衰减均会对载波准确跟踪造成影响.在研究北斗卫星B1频点信号结构的基础上,建立以环路中相关积分值为观测量的非线性EKF模型和UKF模型,并提出利用滤波估计状态量进行状态反馈控制的方法,从而解决了载波跟踪环路在高动态及弱信号环境中难以高性能工作的问题.实验结果表明,状态反馈控制的EKF模型和UKF滤波模型能准确地跟踪弱信号及高动态下的信号变化,从而有效控制跟踪误差,为实现快速准确的载波跟踪奠定了基础.Doppler shift and signal power attenuation in the complex environment both can make damage in the accuracy of carrier tracking. Therefore, the non-linear Kalman filter for carrier tracking is designed, which makes correlated observations in the EKF and UKF model based on the analysis of the structure of BeiDou B1 signal. By using measurements from the estimation of filtering in feedback control of the carrier tracking loop, higher and more stable performance can be given in high dynamic and weak signal environments. Finally, the test results show that the feedback control-based EKF and UKF model can perform precise carrier tracking, and make a good limitation of loop error, both of which lead to realization of high performance of signal tracking.

关 键 词：北斗信号 载波跟踪 非线性卡尔曼滤波 状态反馈控制 

分 类 号：TN911.8[电子电信—通信与信息系统]