Anti-jamming algorithm based on multistage Wiener filter with variable loading

Adaptive beamforming algorithm performance decreases sharply with the increase of array errors. Beamforming algorithm based on diagonal loading is a simple and effective method for improving robustness. But it is difficult to determine the optimal diagonal loading factor, and the fixed load value does not change with the array error, reduce the loading effect. To solve the above problems, this paper proposes a multistage Wiener filter anti-jamming method with variable diagonal loading. Avoiding the inverse covariance matrix by using the multistage Wiener filtering algorithm, reducing the computational complexity greatly. It reduces the influence of steering vector error on the performance of the system, so as to improve the array output signal to interference plus noise ratio and improve the robustness of the system.