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Robust adaptive beamforming for general-rank signal models using positive semi-definite covariance constraint

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2 Author(s)
Haihua Chen ; Commun. Syst. Group, Tech. Univ. Darmstadt, Darmstadt ; Gershman, A.B.

In this paper, we develop an improved approach to the worst- case robust adaptive beamforming for general-rank signal models by means of taking into account the positive semi-definite constraint for the mismatched signal covariance matrix. The resulting robust adaptive beamforming problem is solved in an iterative way using semi-definite programming (SDP) at each iteration. Simulation results show that the proposed technique achieves a substantially improved performance as compared to the current robust adaptive beamforming techniques developed for the general-rank signal environments.

Published in:

Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on

Date of Conference:

March 31 2008-April 4 2008

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