Zhang, X.R., Liu, W., Xu, Y. et al. (1 more author) (2013) Quaternion-basedworst case constrained beamformer based on electromagnetic vector-sensor arrays. In: Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 26-31 May 2013, Vancouver, BC. IEEE , 4149 - 4153.
Abstract
A robust adaptive beamforming scheme based on two-component electromagnetic (EM) vector-sensor arrays is proposed by extending the well-known worst-case constraint into the quaternionic domain. After defining the uncertainty set of the desired signal’s quaternion- ic steering vector, two quaternion-based constrained minimization problems are derived. We then reformulate them into two real- valued convex quadratic problems, which can be easily solved via the second-order cone (SOC) programming approach. Numeri- cal simulations show that our quaternion-based robust beamformer significantly outperforms the sample matrix inversion minimum variance distortionless response (SMI-MVDR) beamformer and the quaternion Capon (Q-Capon) beamformer in the presence of steering vector mismatches.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 08 May 2014 11:39 |
Last Modified: | 19 Dec 2022 13:25 |
Published Version: | http://dx.doi.org/10.1109/ICASSP.2013.6638440 |
Status: | Published |
Publisher: | IEEE |
Refereed: | Yes |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:76521 |