A statistical analysis is provided for the sample co-variance matrix of the forward-backward (FB) minimum variance distortionless response (MVDR) beamformer. Unlike the forward-only case, its covariance matrix does not follow the complex-valued Wishart distribution. However, we can prove that after a proposed unitary transformation, the new covariance matrix has a real-valued Wishart distribution. Based on this result, a close-form expression of the output SINR (signal-to-interference-plus-noise ratio) for the finite sample FB MVDR beamformer is then derived. Our analysis shows that the error of the output SINR with FB precessing is reduced approximately by half compared with the case without it, as also verified by simulations
International audienceLinear beamformers are optimal, in a mean square (MS) sense, when the signal o...
In this paper we present and analyse a technique for applying minimum variance distortionless respon...
A robust forward backward (FB) beamformer for an incoherently scattered general-rank signal model wi...
A statistical analysis is provided for the sample co-variance matrix of the forward-backward (FB) mi...
A statistical analysis is provided for the sample co-variance matrix of the forward-backward (FB) mi...
The employment of forward-backward (FB) processing to both batch and adaptive beamformers provides a...
Recently, the performance of a minimum variance distortionless response (MVDR) beamformer has been e...
Recently, the performance of a minimum variance distortionless response (MVDR) beamformer has been e...
62 p.This dissertation presents a performance analysis of narrowband beamformers under the low sampl...
In this paper, we analyze the finite-data performance of MVDR beamformer with spatial smoothing, usi...
International audienceMinimum variance distortionless response (MVDR) beamforming (or Capon beamform...
Beamforming algorithm is widely used in many signal processing fields. At present, the typical beamf...
We propose a novel algorithm and architecture for minimum variance distortions less response (MVDR) ...
This paper introduces a significant special situation where the noise is a collection of D-plane int...
Robust adaptive beamforming is a key issue in array applications where there exist uncertainties abo...
International audienceLinear beamformers are optimal, in a mean square (MS) sense, when the signal o...
In this paper we present and analyse a technique for applying minimum variance distortionless respon...
A robust forward backward (FB) beamformer for an incoherently scattered general-rank signal model wi...
A statistical analysis is provided for the sample co-variance matrix of the forward-backward (FB) mi...
A statistical analysis is provided for the sample co-variance matrix of the forward-backward (FB) mi...
The employment of forward-backward (FB) processing to both batch and adaptive beamformers provides a...
Recently, the performance of a minimum variance distortionless response (MVDR) beamformer has been e...
Recently, the performance of a minimum variance distortionless response (MVDR) beamformer has been e...
62 p.This dissertation presents a performance analysis of narrowband beamformers under the low sampl...
In this paper, we analyze the finite-data performance of MVDR beamformer with spatial smoothing, usi...
International audienceMinimum variance distortionless response (MVDR) beamforming (or Capon beamform...
Beamforming algorithm is widely used in many signal processing fields. At present, the typical beamf...
We propose a novel algorithm and architecture for minimum variance distortions less response (MVDR) ...
This paper introduces a significant special situation where the noise is a collection of D-plane int...
Robust adaptive beamforming is a key issue in array applications where there exist uncertainties abo...
International audienceLinear beamformers are optimal, in a mean square (MS) sense, when the signal o...
In this paper we present and analyse a technique for applying minimum variance distortionless respon...
A robust forward backward (FB) beamformer for an incoherently scattered general-rank signal model wi...