A robust capon beamformer against uncertainty of nominal steering vector
EURASIP Journal on Applied Signal Processing
A new approach to robust beamforming in the presence of steeringvector errors
IEEE Transactions on Signal Processing
Robust minimum variance beamforming
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Quadratically Constrained Beamforming Robust Against Direction-of-Arrival Mismatch
IEEE Transactions on Signal Processing
On robust Capon beamforming and diagonal loading
IEEE Transactions on Signal Processing
A Bayesian approach to robust adaptive beamforming
IEEE Transactions on Signal Processing
A projection approach for robust adaptive beamforming
IEEE Transactions on Signal Processing
Beampattern Synthesis via a Matrix Approach for Signal Power Estimation
IEEE Transactions on Signal Processing
Doubly constrained robust Capon beamformer
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Robust adaptive beamformers based on worst-case optimization and constraints on magnitude response
IEEE Transactions on Signal Processing
Robust Adaptive Microphone Array with Mainlobe and Response Ripple Control
Journal of Signal Processing Systems
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The recently proposed robust adaptive beamformers, which utilize the autocorrelation sequence of array weight, were formulated as linear optimization problems. With the constraints on magnitude response (CMRs), we are able to control the robust response region of these adaptive beamformers with specified beamwidth and response ripple. Hence, they are robust against large steering direction errors. In practice, many array imperfections may cause the violation of the CMRs, which results in target signal cancellation. In this paper, a novel adaptive beamformer is proposed with new robust CMRs that are derived based on the worst-case optimization. With the robust CMRs, the proposed beamformer is formulated as a linear programming problem with linear and second-order conic constraints. It possesses superior robustness against arbitrary array imperfections and high performance on signal-to-interference-plus-noise ratio (SINR) enhancement. Simple implementation, flexible performance control as well as high SINR enhancement support the practicability of the proposed method.