卡尔曼滤波在相位估计中的应用

The Applications of Kalman Filtering in Phase Estimation

本文提出了相位的二阶系统模型和相应的卡尔曼滤波算法,仿真研究了它们的性能,得出了各种条件下的参数优化设置,通过对正弦频率策动的跟踪性能仿真,确认了算法具有一定的对实际环境中相位高阶变化的跟踪能力,为全数字接收机实现无载波环的载波同步提供了一种有效和途径。

This paper presents a 2nd phase system model and its Kalman filtering algorithms. Their performances are simulated. The optimized parameters are obtained. The algorithm ability to follow the tracks of higher phase variety in the practical environment is confirmed by adding a sinusoidal frequency instigation to the filter input. These algorithms provide an effective approach for the all-digital receiver to achieve carrier synchronization without carrier loop.