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Minimum Dispersion Beamforming for Non-Gaussian...
Journal article

Minimum Dispersion Beamforming for Non-Gaussian Signals

Abstract

Most of the existing beamforming methods are based on the Minimum Variance (MV) criterion. The MV approach is statistically optimal only when the signal, interferences and the noise are Gaussian-distributed. However, non-Gaussian signals arise in a variety of practical applications. In this paper, Minimum Dispersion Distortionless Response (MDDR) beamforming, which minimizes the $\ell_p$-norm of the output while constraining the desired signal …

Authors

Jiang X; Zeng W-J; Yasotharan A; So HC; Kirubarajan T

Journal

IEEE Transactions on Signal Processing, Vol. 62, No. 7, pp. 1879–1893

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Publication Date

April 1, 2014

DOI

10.1109/tsp.2014.2305639

ISSN

1053-587X