Journal article
Robust Beamforming by Linear Programming
Abstract
In this paper, a robust linear programming beamformer (RLPB) is proposed for non-Gaussian signals in the presence of steering vector uncertainties. Unlike most of the existing beamforming techniques based on the minimum variance criterion, the proposed RLPB minimizes the $\ell_{\infty}$-norm of the output to exploit the non-Gaussianity. We make use of a new definition of the $\ell_{p}$-norm $(1\leq p\leq\infty)$ of a complex-valued vector, …
Authors
Jiang X; Zeng W-J; Yasotharan A; So HC; Kirubarajan T
Journal
IEEE Transactions on Signal Processing, Vol. 62, No. 7, pp. 1834–1849
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publication Date
April 1, 2014
DOI
10.1109/tsp.2014.2304438
ISSN
1053-587X