CAJ | 학술논문

CKF是一种新型非线性高斯滤波算法，它依据三阶容积准则，使用数值积分来近似加权高斯积分，无需对非线性模型进行线性化，具有较高的精度和较好的鲁棒性。在传统的锁频加锁相载波跟踪环路的基础上引入了CKF，对载波相位误差、载波频率误差、载波频率变化率误差等参数进行估计，同时将CKF与UKF算法进行了仿真比较。结果表明，在高动态环境中CKF算法对接收机动态信号的跟踪性能优于UKF算法。
CKF시일충신형비선성고사려파산법，타의거삼계용적준칙，사용수치적분래근사가권고사적분，무수대비선성모형진행선성화，구유교고적정도화교호적로봉성。재전통적쇄빈가쇄상재파근종배로적기출상인입료CKF，대재파상위오차、재파빈솔오차、재파빈솔변화솔오차등삼수진행고계，동시장CKF여UKF산법진행료방진비교。결과표명，재고동태배경중CKF산법대접수궤동태신호적근종성능우우UKF산법。
Cubature Kalman filter(CKL)is a new nonlinear Gaussian filter. According to a third?order spherical cubature rule, CKF approximates weighted Gaussian integral by using numerical integral,which does not need linearization of the nonlinear model and has higher precision and reliability. In this paper,CKF is put into the traditional carrier tracking loop which is com?posed by phase?locked loop and frequency?locked loop for estimating the parameters,such as carrier phase error,carrier fre?quency error and carrier frequency change?rate. The simulation results show that the carrier tracking loop using CKF algorithm is better than that of using UKF algorithm when tracking high dynamic signals.