Title :
Near-field source localization using spherical microphone array
Author :
Kumar, Lalan ; Singhal, Kushagra ; Hegde, Rajesh M.
Author_Institution :
Indian Inst. of Technol., Kanpur, Kanpur, India
Abstract :
Source localization using spherical microphone arrays has received attention due to the ease of array processing in the spherical harmonics (SH) domain with no spatial ambiguity. In this paper, we address the issue of near-field source localization using a spherical microphone array. In particular, three methods that jointly estimate the range and bearing of multiple sources in the spherical array framework, are proposed. Two subspace-based methods called the Spherical Harmonic MUltiple SIgnal Classification (SH-MUSIC) and the Spherical Harmonics MUSIC-Group Delay (SH-MGD) for near field source localization, are first presented. Additionally, a method for near-field source localization using the Spherical Harmonic MVDR (SH-MVDR) is also formulated. Experiments on near-field source localization are conducted using a spherical microphone array at various SNR. The SH-MGD is able to resolve closely spaced sources when compared to other methods.
Keywords :
array signal processing; microphone arrays; signal classification; SH-MGD; SH-MUSIC; SH-MVDR; array processing; harmonic multiple signal classification; near-field source localization; spherical harmonic MVDR; spherical harmonics domain; spherical harmonics music-group delay; spherical microphone array framework; Array signal processing; Delays; Equations; Harmonic analysis; Microphone arrays; Multiple signal classification; Group delay; MUSIC; Near-field; Spherical Harmonics;
Conference_Titel :
Hands-free Speech Communication and Microphone Arrays (HSCMA), 2014 4th Joint Workshop on
Conference_Location :
Villers-les-Nancy
DOI :
10.1109/HSCMA.2014.6843256