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ICASSP
2008
IEEE
13 years 11 months ago
Robust adaptive beamforming using sequential quadratic programming
In this paper, a new algorithm for robust adaptive beamforming is developed. The basic idea of the proposed algorithm is to estimate the difference between the actual and presumed...
Aboulnasr Hassanien, Sergiy A. Vorobyov, Kon Max W...
ICASSP
2009
IEEE
13 years 8 months ago
Design of robust superdirective beamformers as a convex optimization problem
Broadband data-independent beamforming designs aiming at constant beamwidth often lead to superdirective beamformers for low frequencies, if the sensor spacing is small relative t...
Edwin Mabande, Adrian Schad, Walter Kellermann
ICASSP
2008
IEEE
13 years 11 months ago
Robust adaptive beamforming for general-rank signal models using positive semi-definite covariance constraint
In this paper, we develop an improved approach to the worstcase robust adaptive beamforming for general-rank signal models by means of taking into account the positive semi-defin...
Haihua Chen, Alex B. Gershman
ICASSP
2011
IEEE
12 years 8 months ago
Worst-case based robust adaptive beamforming for general-rank signal models using positive semi-definite covariance constraint
In this paper, we develop a new approach to the robust beamforming for general-rank signal models. Our method is based on the worst-case performance optimization using a semi-de n...
Haihua Chen, Alex B. Gershman
OL
2011
332views Neural Networks» more  OL 2011»
12 years 11 months ago
A robust implementation of a sequential quadratic programming algorithm with successive error restoration
We consider sequential quadratic programming (SQP) methods for solving constrained nonlinear programming problems. It is generally believed that SQP methods are sensitive to the a...
Klaus Schittkowski