TY - GEN
T1 - Experimental study of robust beamforming techniques for acoustic applications
AU - Zhao, Yingke
AU - Jensen, Jesper Rindom
AU - Christensen, Mads Grasboll
AU - Doclo, Simon
AU - Chen, Jingdong
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/12/7
Y1 - 2017/12/7
N2 - In this paper, we investigate robust beamforming techniques for wideband signal processing in noisy and reverberant environments. In such environments, steering vector estimation errors are inevitable, leading to a degradation of the beamformer performance. Here, we study two types of beamformers that are robust against steering vector estimation errors. The first type includes robust Capon beamformers, where the underlying principle is to add a steering vector uncertainty constraint and/or a norm constraint to the optimization problem to improve the beamformer's robustness. The second type is the amplitude and phase estimation method, which utilizes both temporal and spatial smoothing. Experiments are presented to demonstrate the performance of the considered robust beamformers in acoustic environments. The results show that the robust beamformers outperform the non-robust beamformers in terms of predicted speech quality and intelligibility for different steering vector and covariance matrix estimation errors.
AB - In this paper, we investigate robust beamforming techniques for wideband signal processing in noisy and reverberant environments. In such environments, steering vector estimation errors are inevitable, leading to a degradation of the beamformer performance. Here, we study two types of beamformers that are robust against steering vector estimation errors. The first type includes robust Capon beamformers, where the underlying principle is to add a steering vector uncertainty constraint and/or a norm constraint to the optimization problem to improve the beamformer's robustness. The second type is the amplitude and phase estimation method, which utilizes both temporal and spatial smoothing. Experiments are presented to demonstrate the performance of the considered robust beamformers in acoustic environments. The results show that the robust beamformers outperform the non-robust beamformers in terms of predicted speech quality and intelligibility for different steering vector and covariance matrix estimation errors.
KW - APES beamforming
KW - Capon beamforming
KW - Microphone array
KW - robust beamforming
KW - steering vector error
UR - http://www.scopus.com/inward/record.url?scp=85042388521&partnerID=8YFLogxK
U2 - 10.1109/WASPAA.2017.8170000
DO - 10.1109/WASPAA.2017.8170000
M3 - 会议稿件
AN - SCOPUS:85042388521
T3 - IEEE Workshop on Applications of Signal Processing to Audio and Acoustics
SP - 86
EP - 90
BT - 2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2017
Y2 - 15 October 2017 through 18 October 2017
ER -