TY - JOUR
T1 - Relaxed zero-forcing beamformer under temporally-correlated interference
AU - Kono, Takehiro
AU - Yukawa, Masahiro
AU - Piotrowski, Tomasz
N1 - Funding Information:
This work was partially supported by JSPS Grants-in-Aid 18H01446. A preliminary version of this paper was presented at 44th IEEE International Conference on Acoustics, Speech, and Signal Processing, Brighton, UK, May 2019. The first and second authors have an equal contribution.
Publisher Copyright:
© 2021 Elsevier B.V.
PY - 2022/1
Y1 - 2022/1
N2 - The relaxed zero-forcing (RZF) beamformer is a quadratically-and-linearly constrained minimum variance beamformer. The central question addressed in this paper is whether RZF performs better than the widely-used minimum variance distortionless response and zero-forcing beamformers under temporally-correlated interference. First, RZF is rederived by imposing an ellipsoidal constraint that bounds the amount of interference leakage for mitigating the intrinsic gap between the output variance and the mean squared error (MSE) which stems from the temporal correlations. Second, an analysis of RZF is presented for the single-interference case, showing how the MSE is affected by the spatio-temporal correlations between the desired and interfering sources as well as by the signal and noise powers. Third, numerical studies are presented for the multiple-interference case, showing the remarkable advantages of RZF in its basic performance as well as in its application to brain activity reconstruction from EEG data. The analytical and experimental results clarify that the RZF beamformer gives near-optimal performance in some situations.
AB - The relaxed zero-forcing (RZF) beamformer is a quadratically-and-linearly constrained minimum variance beamformer. The central question addressed in this paper is whether RZF performs better than the widely-used minimum variance distortionless response and zero-forcing beamformers under temporally-correlated interference. First, RZF is rederived by imposing an ellipsoidal constraint that bounds the amount of interference leakage for mitigating the intrinsic gap between the output variance and the mean squared error (MSE) which stems from the temporal correlations. Second, an analysis of RZF is presented for the single-interference case, showing how the MSE is affected by the spatio-temporal correlations between the desired and interfering sources as well as by the signal and noise powers. Third, numerical studies are presented for the multiple-interference case, showing the remarkable advantages of RZF in its basic performance as well as in its application to brain activity reconstruction from EEG data. The analytical and experimental results clarify that the RZF beamformer gives near-optimal performance in some situations.
KW - Beamforming
KW - Electroencephalography
KW - Linear and quadratic constraints
KW - Temporal correlation
KW - Uplink communication
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U2 - 10.1016/j.sigpro.2021.108323
DO - 10.1016/j.sigpro.2021.108323
M3 - Article
AN - SCOPUS:85115036227
SN - 0165-1684
VL - 190
JO - Signal Processing
JF - Signal Processing
M1 - 108323
ER -