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http://dx.doi.org/10.5573/ieie.2014.51.9.148

Robust MVDR Adaptive Array by Efficient Subspace Tracking  

Choi, Yang-Ho (Dept. of Electronic and Communication Engineering, Kangwon National University)
Publication Information
Journal of the Institute of Electronics and Information Engineers / v.51, no.9, 2014 , pp. 148-156 More about this Journal
Abstract
In the MVDR (minimum variance distortionless response) adaptive array, its performance could be greatly deteriorated in the presence of steering vector errors as the desired signal is treated as an interference. This paper suggests an computationally simple adaptive beamforming method which is robust against these errors. In the proposed method, a minimization problem that is formulated according to the DCB (doubly constrained beamforming) principle is solved to find a solution vector, which is in turn projected onto a subspace to obtain a new steering vector. The minimization problem and the subspace projection are dealt with using some principal eigenpairs, which are obtained using a modified PASTd(projection approximation subspace tracking with deflation). We improve the existing MPASTd(modified PASTd) algorithm such that the computational complexity is reduced. The proposed beamforming method can significantly reduce the complexity as compared with the conventional ones directly eigendecomposing an estimate of the corelation matrix to find all eigenvalues and eigenvectors. Moreover, the proposed method is shown, through simulation, to provide performance improvement over the conventional ones.
Keywords
Adaptive arrays; robust beamforming; subspace tracking; steering vector errors;
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