Paper Info
Title
Acoustic Direction of Arrival Estimation Based on Spatial Circular Prediction
Abstract
Acoustic source localization is one of the most important applied fields of microphone arrays. Microphone array source localization is to estimate location parameters of the acoustic source following from some microphone array configuration. An acoustic direction of arrival (DOA) estimation algorithm based on parameterized spatial circular prediction is deduced in this paper. Associated with eigen-decomposition of array signals, the spatial covariance matrix is modified to compute broadband spatial spectrum aimed at estimating the acoustic DOA. The spatial circular prediction spectrum is compared in this paper with several broadband spectra, such as multichannel cross correlation coefficient (MCCC) and steered response power (SRP). The simulation results demonstrate that the proposed algorithm is superior to the other several algorithms at low signal-to-noise ratio.
Year
DOI
Venue
2009
10.1109/IFITA.2009.415
IFITA (3)
Keywords
DocType
Volume
spatial circular prediction,acoustic direction of arrival (doa) estimation,acoustic source localization,eigen-decomposition,broadband spatial spectral estimation,steered response power,array signal,covariance matrices,spatial covariance matrix,acoustic doa,array signal processing,multichannel cross correlation coefficient,parameterized spatial circular prediction,acoustic signal processing,arrival estimation,acoustic direction-of-arrival estimation,direction-of-arrival estimation,spatial circular prediction spectrum,microphone array,microphone arrays,acoustic direction,eigenvalues and eigenfunctions,acoustic source,signal-to-noise ratio,broadband spatial spectrum,spectral estimation,spectrum,cross correlation,covariance matrix,direction of arrival,signal to noise ratio
Conference
3
ISBN
Citations 
PageRank 
978-0-7695-3600-2
1
0.36
References 
Authors
3
3
Name
Order
Citations
PageRank
Hongsen He1234.89
Lu Jing26817.05
Gao Yang3145.96