一种新的高动态GPS载波跟踪算法

摘要

提出了基于无迹粒子滤波(UPF)算法的高动态GPS载波跟踪环路,仿真分析了该方案在高斯噪声和非高斯噪声环境下对高动态GPS信号的跟踪性能,并与分别基于扩展卡尔曼滤波(EKF)、无迹卡尔曼滤波(UKF)、粒子滤波(PF)及扩展卡尔曼粒子滤波(EPF)这四种算法的载波跟踪环路进行了性能对比.仿真结果表明,基于UPF估计器的载波跟踪环路在高动态、弱信号以及非高斯噪声环境下具有优越的跟踪性能,既可以提高跟踪精度,又解决了非高斯噪声干扰问题.通过模拟实验验证了该方案的有效性.%A high dynamic GPS carrier tracking loop based on Unscented Particle Filter(UPF) algorithm is proposed. The simulations, which are taken under both Gaussian and non-Gaussian noise environments, not only analyze its tracking performance for high dynamic GPS signal but also compare with the tracking loops based on Extended Kalman Filter(EKF), Unscented Kalman Filter(UKF), Particle Filter(PF) and Extended Particle Filter(EPF) algorithms. The result illustrates this new tracking loop has superior tracking performance in high-dynamic, weak signal or non-Gaussian noise environments. The use of UPF algorithm improves the tracking accuracy, and also solves the problem caused by non-Gaussian noise. The effectiveness of this scheme is verified by experiments.