DocumentCode :
3600121
Title :
Representation and modeling of spherical harmonics manifold for source localization
Author :
Parthasarathy, Arun ; Kataria, Saurabh ; Kumar, Lalan ; Hegde, Rajesh M.
Author_Institution :
Indian Inst. of Technol. Kanpur, Kanpur, India
fYear :
2015
Firstpage :
26
Lastpage :
30
Abstract :
Source localization has been studied in the spatial domain using differential geometry in earlier work. However, parameters of the sensor array manifold have hitherto not been investigated for source localization in spherical harmonics domain. The objective of this work is to represent and model the manifold surface using differential geometry. The system model for source localization over a spherical harmonic manifold is first formulated. Subsequently, the manifold parameters are modeled in the spherical harmonics domain. Source localization methods using MUSIC and MVDR over the spherical harmonics manifold are developed. Experiments on source localization using a spherical microphone array indicate high resolution in noise.
Keywords :
differential geometry; harmonic analysis; microphone arrays; sensor arrays; sensor placement; signal classification; signal representation; MUSIC; MVDR; differential geometry; manifold parameters modeling; minimum variance distortionless response; multiple signal classification; sensor array manifold; source localization; spatial domain; spherical harmonics manifold modeling; spherical harmonics manifold representation; spherical microphone array; Arrays; Harmonic analysis; Manganese; Manifolds; Microphones; Multiple signal classification; Noise; Differential geometry; MUSIC; manifold; source localization; spherical harmonics domain;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on
Type :
conf
DOI :
10.1109/ICASSP.2015.7177925
Filename :
7177925
Link To Document :
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