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dc.contributor.authorLi, Bin
dc.contributor.authorRong, Yue
dc.contributor.authorSun, Jie
dc.contributor.authorTeo, Kok Lay
dc.identifier.citationLi, B. and Rong, Y. and Sun, J. and Teo, K.L. 2017. A Distributionally Robust Minimum Variance Beamformer Design. IEEE Signal Processing Letters.

IEEE This paper is concerned with a robust minimum variance beamformer design. To hedge the mismatch between the true and the assumed steering vectors, a distributionally robust beamformer (DR-beamformer) is proposed. The tractable reformulation of this beamformer is developed. Compared with the existing robust beamformers (worst-case robust beamformer, Gaussian robust beamformer), the proposed robust beamformer does not assume full knowledge of the channel mismatch. Therefore, it is more flexible in practice and more general in formulation. In addition, the relationships of the proposed robust beamformer with the existing ones are investigated. The performance gain of the DR-beamformer over the other robust beamformers is highlighted through numerical simulations.

dc.publisherInstitute of Electrical and Electronics Engineers
dc.titleA Distributionally Robust Minimum Variance Beamformer Design
dc.typeJournal Article
dcterms.source.titleIEEE Signal Processing Letters
curtin.departmentDepartment of Mathematics and Statistics
curtin.accessStatusFulltext not available

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