自适应强跟踪卡尔曼滤波器载波环设计

Design Carrier Tracking Loop Based on Adaptive Strong Tracking Kalman Fiter

针对自适应Qk/Rk卡尔曼滤波算法在大频偏或运动场景切换时存在收敛速度慢、易失锁问题,提出了一种自适应强跟踪滤波算法,该算法从自适应Qk/Rk卡尔曼滤波算法出发,引入强跟踪技术。在稳态场景下,采用自适应Qk/Rk算法保证跟踪环路有较好的跟踪精度;当场景变化时,自适应强跟踪算法保证跟踪环路有更稳健的动态性能。仿真结果表明,所提出的设计方法能够有效提高载波跟踪环路的跟踪精度和鲁棒性。

Aimed at the problem of slow convergence and lose lock of adaptive Qk/Rk Kalman filter algorithm in large frequency shift or moving scene switching,an adaptive strong tracking filtering algorithm is proposed.This algorithm starts from adaptive Qk/Rk Kalman filter algorithm,strong tracking technology is adopted.It guarantees tracking accuracy in steady-state scene by adopting adaptive Qk/Rk algorithm.When the scene changes,strong tracking algorithm is adopted to guarantee robust performance.Simulation results show that the proposed design method can effectively improve the tracking accuracy and robustness of the carrier tracking loop.