Robust adaptive beamforming for fast moving interference based on the covariance matrix reconstruction
Saeed Mohammadzadeh, Osman Kükrer · IET Signal Processing · 2019
Adaptive beamforming methods are sensitive to underlying assumptions on the environment, sources, or sensor array violation, especially when interferences are moving fast. In this study, the non‐stationary interference source is estimated during the period in which snapshots are taken. Then, a new interference‐plus‐noise covariance matrix reconstruction is introduced which is derived from a simplified power spectral density function that can be used to shape the directional response of the beamformer. Finally, the beamformer is designed to impose nulls towards the regions of the moving interference based on the reconstructed covariance matrix. The essence of the proposed method is to express the inverse of the reconstructed covariance matrix which needs less computational complexity calculation. The effectiveness of the proposed method is demonstrated by numerical results.