A Distributionally Robust Minimum Variance Beamformer Design
MetadataShow full item record
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.
Showing items related by title, author, creator and subject.
Dam, Hai; Nordholm, Sven (2013)This brief investigates the performance of robust and nonrobust broadband beamformers with least squares and discrete coefficients to achieve low complexity and efficient hardware implementation. The broadband beamformer ...
Li, Bin; Rong, Yue; Sun, Jie; Teo, Kok Lay (2017)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 ...
Rimantho, Dedi; Dam, Hai Huyen (Heidi); Nordholm, Sven (2012)This paper investigates the design of low complexity, non-robust and robust broadband beamformers with least squared criterion. An iterative algorithm is proposed to reduce the number of non-zero coefficients in both the ...