Convex Optimization
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
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
Robust adaptive beamforming for general-rank signal models
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Experimental study of mutual coupling compensation in smart antenna applications
IEEE Transactions on Wireless Communications
A robust adaptive beamformer based on worst-case semi-definite programming
IEEE Transactions on Signal Processing
Robust Adaptive Microphone Array with Mainlobe and Response Ripple Control
Journal of Signal Processing Systems
Robust Capon beamforming against large DOA mismatch
Signal Processing
Robust Least Squares Constant Modulus Algorithm to Signal Steering Vector Mismatches
Wireless Personal Communications: An International Journal
Robust adaptive beamforming using an iterative FFT algorithm
Signal Processing
Wireless Personal Communications: An International Journal
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In this paper, novel robust adaptive beamformers are proposed with constraints on array magnitude response. With the transformation from the array output power and the magnitude response to linear functions of the autocorrelation sequence of the array weight, the optimization of an adaptive beamformer, which is often described as a quadratic optimization problem in conventional beamforming methods, is then reformulated as a linear programming (LP) problem. Unlike conventional robust beamformers, the proposed method is able to flexibly control the robust response region with specified beamwidth and response ripple. In practice, an array has many imperfections besides steering direction error. In order to make the adaptive beamformer robust against all kinds of imperfections, worst-case optimization is exploited to reconstruct the robust beamformer. By minimizing array output power with the existence of the worst-case array imperfections, the robust beamforming can be expressed as a second-order cone programming (SOCP) problem. The resultant beamformer possesses superior robustness against arbitrary array imperfections. With the proposed methods, a large robust response region and a high signal-to-interference-plus-noise ratio (SINR) enhancement can be achieved readily. Simple implementation, flexible performance control, as well as significant SINR enhancement, support the practicability of the proposed methods.