Robust adaptive beamformers based on worst-case optimization and constraints on magnitude response
IEEE Transactions on Signal Processing
Robust Capon beamformer under norm constraint
Signal Processing
Robust beamforming methods for multipath signal reception
Digital Signal Processing
Joint temporal-spatial reference beamforming: EIG beamforming
ICCOM'10 Proceedings of the 14th WSEAS international conference on Communications
Optimized training sequences for spatially correlated MIMO-OFDM
IEEE Transactions on Wireless Communications
A robust adaptive beamformer based on worst-case semi-definite programming
IEEE Transactions on Signal Processing
SINR analysis of the subtraction-based SMI beamformer
IEEE Transactions on Signal Processing
Robust Adaptive Microphone Array with Mainlobe and Response Ripple Control
Journal of Signal Processing Systems
Sidelobe Suppression for Robust Beamformer Via the Mixed Norm Constraint
Wireless Personal Communications: An International Journal
Robust adaptive beamforming using an iterative FFT algorithm
Signal Processing
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It is well known that the performance of the minimum variance distortionless response (MVDR) beamformer is very sensitive to steering vector mismatch. Such mismatches can occur as a result of direction-of-arrival (DOA) errors, local scattering, near-far spatial signature mismatch, waveform distortion, source spreading, imperfectly calibrated arrays and distorted antenna shape. In this paper, an adaptive beamformer that is robust against the DOA mismatch is proposed. This method imposes two quadratic constraints such that the magnitude responses of two steering vectors exceed unity. Then, a diagonal loading method is used to force the magnitude responses at the arrival angles between these two steering vectors to exceed unity. Therefore, this method can always force the gains at a desired range of angles to exceed a constant level while suppressing the interferences and noise. A closed-form solution to the proposed minimization problem is introduced, and the diagonal loading factor can be computed systematically by a proposed algorithm. Numerical examples show that this method has excellent signal-to-interference-plus-noise ratio performance and a complexity comparable to the standard MVDR beamformer.