Enhanced Blind MVDR Beamforming Implementation Using Real Toeplitz-Plus-Hankel Approximation Scheme

摘要

The efficient scheme for enhancing the performance of the MVDR beamforming is proposed. Generally, the computational complexity of the MVDR beamforming is shorter than that of blind cyclostationary beamforming on applying neural network based signal processing. The main focus of the proposed scheme is to enhance the practical estimation of an array response vector for the MVD beamforming on the arbitrary geometry structure of antenna arrays. Thus, the proposed scheme used the real Toeplitz-plus-Hankel Approximation (RTHA) scheme to obtain the covariance matrix having the theoretical property of an overall noise-free signal. Computer simulation results are presented to show the effectiveness of the proposed scheme and the possibility for network-based beamforming.