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On the sensitivity of third-order Volterra MVDR beamformers to interference-pulse shaping filter.

Authors :
Delmas, Jean-Pierre
Chevalier, Pascal
Sadok, Mustapha
Source :
Signal Processing. May2020, Vol. 170, pN.PAG-N.PAG. 1p.
Publication Year :
2020

Abstract

• A closed-form expression of the SINR at the output of a family of third-order Volterra MVDR beamformers is given. • Interpretable closed-form expressions of this SINR are derived in the particular case of 2 sensors in the presence of single digitally linearly modulated interference. • These closed-form expression allow us to quantify the impact of the pulse-shape filtering (pulse shape filter, oversampling factor and initial sampling time). • This sensitivity study proves that the high performance gain of these third-order Volterra MVDR beamformers with respect to the Capon algorithm for a square pulse shape filter are lost in the presence of intersymbol interference. 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 potentially non-circular interference, omnipresent in practical situations. High performance gains have been obtained for binary phase shift keying (BPSK) and quadrature phase shift keying (QPSK) interference having a square pulse shaping filter in particular. However in practice, for spectral efficiency reasons, most of signals use non-square pulse shaping filters, such as square root raised cosine filter. It is then important to analyze the sensitivity of third-order MVDR beamformers to interference pulse shaping filter, which is the purpose of this paper. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01651684
Volume :
170
Database :
Academic Search Index
Journal :
Signal Processing
Publication Type :
Academic Journal
Accession number :
141776607
Full Text :
https://doi.org/10.1016/j.sigpro.2019.107424