基于Krylov子空间的自适应陷波器设计

Adaptive notch filter design based on Krylov subspace

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 narrowband interference suppression problem which satellite navigation receiving terminal faced with,combined with Krylov subspace nature,the multistage Wiener filtering algorithm based on Krylov subspace was applied to navigation receiving terminal narrowband interference suppression,which can achieve a navigation reciever adaptive narrow-band interference suppression,so that it can achieve the optimal output SNR（signal-to-noise ratio）.The method solved the issue of large amount computation for traditional Wiener filtering due to matrix inversion.Simulation results show that the algorithm has a simple structure and lower computation than that of the optimal filter.Thus,it is a practical algorithm for narrow-band interference suppression.