NDLI: Robust response control with linear inequality matrix constraints for adaptive beamformer

Content Provider	IEEE Xplore Digital Library
Author	Yu, Z.L. Gu, Z. Li, Y. Ser, W. Er, M.H.
Copyright Year	2010
Description	Author affiliation: School of EEE, Nanyang Technological University, Singaproe, 639798 (Ser, W.; Er, M.H.) \|\| College of Automation Science and Engineering, South China University of Technology, China (Yu, Z.L.; Gu, Z.; Li, Y.)
Abstract	A novel robust adaptive beamformer, with new robust constraints on array magnitude response was proposed by utilizing the autocorrelation sequence of array weight vector and the worst-case optimization technique. The proposed adaptive beamformer was formulated as a linear programming problem with second-order cone semi-infinite constraints, which can be eliminated by using the sampling technique. In this paper, we transform these semi-infinite second-order cone constraints into some norm constraints and linear matrix inequality (LMI) constraints. The advantage of this new formulation of the problem is that the sampling of the angles is avoided. The exact optimal result of the problem can be obtained instead of the approximated one provided by sampling technique. The resultant beamformer possesses superior robustness against arbitrary array imperfections and high performance on signal-to-interference-plus-noise ratio (SINR) enhancement even with a large controlled robust response region.
Starting Page	2131
Ending Page	2134
File Size	215895
Page Count	4
File Format	PDF
ISBN	9781424453085
DOI	10.1109/ISCAS.2010.5536945
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-05-30
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Robust control Linear matrix inequalities Programmable control Adaptive control Sampling methods Robustness Adaptive arrays Autocorrelation Vectors Constraint optimization
Content Type	Text
Resource Type	Article

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