Robust Adaptive Beamforming Based on Mismatch Errors Orthogonal Decomposition

Zou  Xiang; Zhang  Min; Zhong  Zi-Fa

doi:10.3724/SP.J.1146.2010.00049

Volume 32 Issue 10

Dec. 2010

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Article Navigation > Journal of Electronics & Information Technology > 2010 > 32(10): 2320-2323

Zou Xiang, Zhang Min, Zhong Zi-Fa. Robust Adaptive Beamforming Based on Mismatch Errors Orthogonal Decomposition[J]. Journal of Electronics & Information Technology, 2010, 32(10): 2320-2323. doi: 10.3724/SP.J.1146.2010.00049

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Zou Xiang, Zhang Min, Zhong Zi-Fa. Robust Adaptive Beamforming Based on Mismatch Errors Orthogonal Decomposition[J]. Journal of Electronics & Information Technology, 2010, 32(10): 2320-2323. doi: 10.3724/SP.J.1146.2010.00049

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Robust Adaptive Beamforming Based on Mismatch Errors Orthogonal Decomposition

doi: 10.3724/SP.J.1146.2010.00049

Received Date: 2010-01-15
Rev Recd Date: 2010-06-01
Publish Date: 2010-10-19

Abstract

Abstract

A novel algorithm for robust adaptive beamforming is presented in this paper to solve the problem of the mismatch errors between the actual and presumed steering vectors. By using the orthogonal component of the errors, the method can obtain the desired steering vectors successfully. Two orthogonal subspaces are constructed firstly, and then the mismatch errors are orthogonally decomposed, so the correcting process of steering vectors is transformed into an iterative quadratic convex optimization issue by using a slack variable. The proposed algorithm does not need the conditions of the norm or probability constraint of the mismatch errors. Therefore, it avoids estimating upper bound values and probability distribution modeling. Simulation results show the effectiveness of the proposed algorithm.
- Adaptive beamforming,
- Orthogonal decomposition,
- Convex quadratic programming,
- Slack variable

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References

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