Signal Processing 2020 DOI: 10.1016/j.sigpro.2019.107424 View full text
Jean-Pierre Delmas, Pascal Chevalier, Mustapha Sadok

Abstract: Linear beamformers are optimal, in a mean square (MS) sense, when the signal of interest (SOI) and observations are jointly Gaussian and circular. Otherwise, optimal beamformers become non-linear with a structure depending on the unknown joint probability distribution of the SOI and observations. In this context, third-order Volterra minimum variance distortionless response (MVDR) beamformers have been proposed recently to improve the performance of linear beamformers in the presence of non-Gaussian and potent…

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