Computationally Efficient Robust Widely Linear Beamforming for Improper Non-Stationary Signals
Kronvall, Ted; Butt, Naveed; Jakobsson, Andreas (2013). Computationally Efficient Robust Widely Linear Beamforming for Improper Non-Stationary Signals [Host publication title missing]. 21st European Signal Processing Conference (EUSIPCO 2013). Marrakech, Morocco: IEEE - Institute of Electrical and Electronics Engineers Inc.
Conference Proceeding/Paper
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Published
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English
Authors:
Kronvall, Ted
;
Butt, Naveed
;
Jakobsson, Andreas
Department:
Mathematical Statistics
Statistical Signal Processing Group
Biomedical Modelling and Computation
Research Group:
Statistical Signal Processing Group
Biomedical Modelling and Computation
Abstract:
In this work, we introduce a computationally efficient Kalman-filter based implementation of the robust widely linear (WL) minimum variance distortionless response (MVDR) beamformer. The beamformer is able to achieve the same performance as the recently derived robust WL MVDR beamformer, but avoids the computationally burdensome solution based on a second order cone programming (SOCP), and exploiting the recent Kalman-based regular robust MVDR beamformer, extends this to also allow for non-circular sources and interferences. Numerical simulations illustrate the achieved performance.
Keywords:
Widely linear estimation ;
robust Capon beamforming ;
constrained Kalman filter ;
time-variant filtering ;
non-circular signals
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