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Robust adaptive beamforming based on a new steering vector estimation algorithm
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AI
DOI：10.1016/j.sigpro.2013.03.015.png)
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Abstract
En 中文
A new approach to the design of robust adaptive beamforming is introduced. In the proposed approach, the mismatch vector of the desired steering vector is estimated by solving a quadratically constrained quadratic programming problem using an interference-plus-noise subspace projection matrix. The presumed look direction of desired signal is the only prior information of the proposed approach, and the parameters of uncertainty set or the angular sectors of the desired signal are not needed. In the presence of large DOA mismatch, the proposed beamformer performs well. Moreover, the proposed approach can deal with arbitrary steering vector mismatch in theory while many existing advanced robust beamformers cannot. Hence, it is very suitable for many practical applications. Crown Copyright (c) 2013 Published by Elsevier B.V. All rights reserved.
Keywords:
Adaptive beamforming
Steering vector estimation
Quadratically constrained quadratic programming
Robustness
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