Title :
Adaptive beamformer for spherical eigenbeamforming microphone arrays
Author :
Elko, Gary W. ; Meyer, Jorg
Author_Institution :
mh Acoust. LLC, Summit, NJ, USA
Abstract :
Spherical eigenbeamforming microphone arrays have become a subject of interest in recent years [1-6]. General beampattern design and implementation are simplified due to the decomposition of the soundfield into orthonormal spherical harmonic (SH) “building block” eigenbeams. Eigenbeams are then combined to realize the beamformer. In this paper we present a remarkably straightforward and computationally simple adaptive beamformer. The beamformer algorithm exploits a fundamental non-negativity property of the combination of zero-order SH eigenbeams to realize an implicit constraint for the adaptive spherical eigenbeamformer.
Keywords :
array signal processing; microphone arrays; adaptive spherical eigenbeamforming microphone arrays; beamformer algorithm; general beampattern design; nonnegativity property; orthonormal spherical harmonic building block eigenbeams; zero-order SH eigenbeams; Acoustics; Adaptive arrays; Array signal processing; Harmonic analysis; Microphone arrays; Noise; Adaptive Beamforming; Eigenbeamforming; Spherical Microphone Arrays;
Conference_Titel :
Hands-free Speech Communication and Microphone Arrays (HSCMA), 2014 4th Joint Workshop on
Conference_Location :
Villers-les-Nancy
DOI :
10.1109/HSCMA.2014.6843250