本文讨论由白噪声策动的角调信号,通过随机时变信道的最佳滤波问题。文中应用扩大状态变量方法,建立了角调信号通过瑞利信道的非线性估计模型。然后,应用线性滤波和非线性滤波方法对相位消息过程和信道过程进行最佳过滤。理论分析和计算机模拟结果表明,对于随机时变信道中的非线性估计模型,非线性滤波的估计性能比线性滤波的估计性能优越。 This article discusses the angular filtering of white noise-driven signals through the optimal filtering of random time-varying channels. In this paper, by using the method of expanding state variables, a non-linear estimation model of angular signals passing through Rayleigh channel is established. Then, linear filtering and non-linear filtering methods are used to best filter the phase message process and channel process. The theoretical analysis and computer simulation show that the performance of nonlinear filter is superior to that of linear filter for the nonlinear estimation model in stochastic time-varying channel.