TY - JOUR
T1 - On microphone-array beamforming from a MIMO acoustic signal processing perspective
AU - Benesty, Jacob
AU - Chen, Jingdong
AU - Huang, Yiteng
AU - Dmochowski, Jacek
PY - 2007/3
Y1 - 2007/3
N2 - Although many microphone-array beamforming algorithms have been developed over the past few decades, most such algorithms so far can only offer limited performance in practical acoustic environments. The reason behind this has not been fully understood and further research on this matter is indispensable. In this paper, we treat a microphone array as a multiple-input multiple-output (MIMO) system and study its signal-enhancement performance. Our major contribution is fourfold. First, we develop a general framework for analyzing performance of beamforming algorithms based on the acoustic MIMO channel impulse responses. Second, we study the bounds for the length of the beamforming filter, which in turn shows the performance bounds of beamforming in terms of speech dereverberation and interference suppression. Third, we address the connection between beamforming and the multiple-input/output inverse theorem (MINT). Finally, we discuss the intrinsic relationships among different classical beamforming techniques and explain, from the channel condition perspective, what the prerequisites are for those techniques to work
AB - Although many microphone-array beamforming algorithms have been developed over the past few decades, most such algorithms so far can only offer limited performance in practical acoustic environments. The reason behind this has not been fully understood and further research on this matter is indispensable. In this paper, we treat a microphone array as a multiple-input multiple-output (MIMO) system and study its signal-enhancement performance. Our major contribution is fourfold. First, we develop a general framework for analyzing performance of beamforming algorithms based on the acoustic MIMO channel impulse responses. Second, we study the bounds for the length of the beamforming filter, which in turn shows the performance bounds of beamforming in terms of speech dereverberation and interference suppression. Third, we address the connection between beamforming and the multiple-input/output inverse theorem (MINT). Finally, we discuss the intrinsic relationships among different classical beamforming techniques and explain, from the channel condition perspective, what the prerequisites are for those techniques to work
KW - Beamforming
KW - Frost
KW - Linearly constrained minimum variance (LCMV)
KW - Microphone arrays
KW - Minimum variance distortionless response (MVDR)
KW - Multiple-input/output inverse theorem (MINT)
UR - http://www.scopus.com/inward/record.url?scp=51149084077&partnerID=8YFLogxK
U2 - 10.1109/TASL.2006.885251
DO - 10.1109/TASL.2006.885251
M3 - 文章
AN - SCOPUS:51149084077
SN - 1558-7916
VL - 15
SP - 1053
EP - 1065
JO - IEEE Transactions on Audio, Speech and Language Processing
JF - IEEE Transactions on Audio, Speech and Language Processing
IS - 3
M1 - 4100665
ER -