Paper Info
Title
Direction of Arrival Estimation using Eigenanalysis of the Parameterized Spatial Correlation Matrix
Abstract
The estimation of the direction-of-arrival (DOA) of one or more acoustic sources is an area that has generated much interest in recent years, with applications like automatic video camera steering and multi-party stereophonic teleconferencing entering the market. Time-difference-of-arrival (TDOA) based methods compute each relative delay using only two microphones, even though additional microphones are usually available, and thus suffer from the effects of background noise and reverberation. This paper deals with DOA estimation based on spatial spectral estimation, and proposes a novel DOA estimator based on the eigenvalues of the parameterized spatial correlation matrix. Simulation results confirm the ability of the proposed method to provide reliable estimates even in heavily reverberant environments.
Year
DOI
Venue
2007
10.1109/ICASSP.2007.366601
Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference
Keywords
Field
DocType
acoustic signal processing,array signal processing,direction-of-arrival estimation,eigenvalues and eigenfunctions,matrix algebra,microphone arrays,time-of-arrival estimation,TDOA,acoustic sources,background noise,direction of arrival estimation,eigenanalysis,microphones,parameterized spatial correlation matrix,reverberation,spatial spectral estimation,time-difference-of-arrival,DOA estimation,Microphone arrays,circular array,source localization,spatial correlation matrix
Background noise,Computer science,Direction of arrival,Artificial intelligence,Spectral density estimation,Reverberation,Spatial correlation,Pattern recognition,Stereophonic sound,Algorithm,Speech recognition,Multilateration,Estimator
Conference
Volume
ISSN
ISBN
1
1520-6149
1-4244-0727-3
Citations 
PageRank 
References 
9
0.78
5
Authors
3
Name
Order
Citations
PageRank
Jacek P. Dmochowski19511.17
Jacob Benesty21941146.01
Sofiène Affes396297.26