Title
Spatially Robust Far-field Beamforming Using the von Mises(-Fisher) Distribution
Abstract
This paper presents spatially robust far-field microphone beamformers and nullformers derived using the von Mises and von Mises-Fisher distributions to model the expected direction of arrival. Simple analytic expressions are presented for 2D and 3D far-field correlation functions and used to design spatially robust beamformers and nullformers. It is demonstrated that the spatially robust beamformers show a modest improvement in tolerating uncertainty in the target direction of arrival without incurring a significant penalty in terms of SINR performance compared with the MVDR beamformer. In addition, the spatially robust formulation shows significantly improved numerical robustness, indicating improved ability in tolerating intrinsic array errors.
Year
DOI
Venue
2015
10.1109/TASLP.2015.2473684
IEEE/ACM Trans. Audio, Speech & Language Processing
Keywords
Field
DocType
Numerical analysis,Interference,Spatial analysis,Microphones,Signal to noise ratio
Beamforming,Computer science,Direction of arrival,Signal-to-noise ratio,Robustness (computer science),Speech recognition,Interference (wave propagation),von Mises yield criterion,Von Mises–Fisher distribution,Microphone
Journal
Volume
Issue
ISSN
23
12
2329-9290
Citations 
PageRank 
References 
8
0.51
6
Authors
3
Name
Order
Citations
PageRank
Craig A. Anderson1132.34
Paul D. Teal210413.58
Mark A. Poletti3132.04