An Efficient Robust Adaptive Beamforming Based on Eigenvalue Decomposition and Interference Steering Vector Estimation

This work has presented a unique robust adaptive beamforming (RAB) algorithm that improves the adaptive beamformer’s robustness. Firstly, the steering vectors of signal-of-interest (SOI) has been estimated by the eigenvalue-decomposition method. Then, using the estimated steering vectors (SVs) of the interference, we reconstructed the interference-plus-noise covariance matrix (INCM). The advantages of our algorithm can be well demonstrated in simulation results.