针对卫星导航接收终端的窄带干扰抑制问题,结合Krylov子空间性质,把基于Krylov子空间的多级维纳滤波算法应用到导航接收终端窄带干扰抑制中,提出了一种基于Krylov子空间的多级维纳滤波自适应陷波器设计方法,实现了导航接收机的自适应窄带干扰抑制,使输出信噪比达到最优,解决了传统的维纳滤波方法由于矩阵求逆运算量大的问题.仿真结果表明:该算法相比最优维纳滤波算法,运算量小,结构简单,有较好的窄带干扰抑制性能且对导航信号本身的接收影响较小,是一种实用的窄带干扰抑制算法. Aiming at the problem of narrowband interference suppression in satellite navigation receiving terminal, combined with Krylov subspace property, multi-level Wiener filtering algorithm based on Krylov subspace is applied to narrowband interference suppression in navigation receiving terminal. A Krylov subspace-based multistage Wiener filter adaptive notch filter design method to achieve the adaptive narrowband interference suppression of the navigation receiver, the output signal to noise ratio to achieve the best, to solve the traditional Wiener filtering method due to matrix inversion computing large amount of problems. The simulation results show that the proposed algorithm is a practical narrowband interference suppression algorithm compared with the optimal Wiener filter algorithm, which has the advantages of low computational complexity, simple structure, good narrowband interference rejection performance and small impact on the reception of the navigation signal itself .