TY - GEN
T1 - Quadratic Beamforming for Magnitude Estimation
AU - Itzhak, Gal
AU - Benesty, Jacob
AU - Cohen, Israel
N1 - Publisher Copyright: © 2021 European Signal Processing Conference. All rights reserved.
PY - 2021
Y1 - 2021
N2 - In this paper, we introduce an optimal quadratic Wiener beamformer for magnitude estimation of a desired signal. For simplicity, we focus on a two-microphone array and develop an iterative algorithm for magnitude estimation based on a quadratic multichannel noise reduction approach. We analyze two test cases, with uncorrelated and correlated noises. In each, we derive the appropriate versions of the Wiener beamformer, as well as their corresponding unbiased magnitude estimators. We compare the root-mean-squared errors (RMSEs) for the linear and quadratic Wiener beamformers and show that for low input signal-to-noise ratios (SNRs), the RMSE obtained with the proposed approach is either lower than or equal to the RMSE obtained with the linear Wiener beamformer, depending on the type of noise and its distribution.
AB - In this paper, we introduce an optimal quadratic Wiener beamformer for magnitude estimation of a desired signal. For simplicity, we focus on a two-microphone array and develop an iterative algorithm for magnitude estimation based on a quadratic multichannel noise reduction approach. We analyze two test cases, with uncorrelated and correlated noises. In each, we derive the appropriate versions of the Wiener beamformer, as well as their corresponding unbiased magnitude estimators. We compare the root-mean-squared errors (RMSEs) for the linear and quadratic Wiener beamformers and show that for low input signal-to-noise ratios (SNRs), the RMSE obtained with the proposed approach is either lower than or equal to the RMSE obtained with the linear Wiener beamformer, depending on the type of noise and its distribution.
UR - http://www.scopus.com/inward/record.url?scp=85123195848&partnerID=8YFLogxK
U2 - https://doi.org/10.23919/EUSIPCO54536.2021.9616291
DO - https://doi.org/10.23919/EUSIPCO54536.2021.9616291
M3 - منشور من مؤتمر
T3 - European Signal Processing Conference
SP - 251
EP - 255
BT - 29th European Signal Processing Conference, EUSIPCO 2021 - Proceedings
T2 - 29th European Signal Processing Conference, EUSIPCO 2021
Y2 - 23 August 2021 through 27 August 2021
ER -