Title :
Performance Study of the MVDR Beamformer as a Function of the Source Incidence Angle
Author :
Chao Pan ; Jingdong Chen ; Benesty, Jacob
Author_Institution :
Res. Center of Intell. Acoust. & Immersive Commun., Northwestern Polytech. Univ., Xi´an, China
Abstract :
Linear microphone arrays combined with the minimum variance distortionless response (MVDR) beamformer have been widely studied in various applications to acquire desired signals and reduce the unwanted noise. Most of the existing array systems assume that the desired sources are in the broadside direction. In this paper, we study and analyze the performance of the MVDR beamformer as a function of the source incidence angle. Using the signal-to-noise ratio (SNR) and beampattern as the criteria, we investigate its performance in four different scenarios: spatially white noise, diffuse noise, diffuse-plus-white noise, and point-source-plus-white noise. The results demonstrate that the optimal performance of the MVDR beamformer occurs when the source is in the endfire directions for diffuse noise and point-source noise while its SNR gain does not depend on the signal incidence angle in spatially white noise. This indicates that most current systems may not fully exploit the potential of the MVDR beamformer. This analysis does not only help us better understand this algorithm, but also helps us design better array systems for practical applications.
Keywords :
acoustic signal processing; array signal processing; microphone arrays; white noise; MVDR beamformer; SNR gain; beampattern; broadside direction; diffuse-plus-white noise; endfire directions; linear microphone arrays; minimum variance distortionless response beamformer; point-source-plus-white noise; signal incidence angle; signal-to-noise ratio; source incidence angle; spatially-white noise; unwanted noise reduction; Acoustics; Arrays; Educational institutions; Microphones; Noise; Speech; Speech processing; Beamforming; diffuse noise; microphone arrays; minimum variance distortionless response (MVDR) beamformer; noise reduction; spatially white noise; speech enhancement;
Journal_Title :
Audio, Speech, and Language Processing, IEEE/ACM Transactions on
DOI :
10.1109/TASL.2013.2283104