Title
Vector-sensor MUSIC for polarized seismic sources localization
Abstract
This paper addresses the problem of high-resolution polarized source detection and introduces a new eigenstructure-based algorithm that yields direction of arrival (DOA) and polarization estimates using a vector-sensor (or multicomponent-sensor) array. This method is based on separation of the observation space into signal and noise subspaces using fourth-order tensor decomposition. In geophysics, in particular for reservoir acquisition and monitoring, a set of Nx-multicomponent sensors is laid on the ground with constant distance Δx between them. Such a data acquisition scheme has intrinsically three modes: time, distance, and components. The proposed method needs multilinear algebra in order to preserve data structure and avoid reorganization. The data is thus stored in tridimensional arrays rather than matrices. Higher-order eigenvalue decomposition (HOEVD) for fourth-order tensors is considered to achieve subspaces estimation and to compute the eigenelements. We propose a tensorial version of the MUSIC algorithm for a vector-sensor array allowing a joint estimation of DOA and signal polarization estimation. Performances of the proposed algorithm are evaluated.
Year
DOI
Venue
2005
10.1155/ASP.2005.74
EURASIP J. Adv. Sig. Proc.
Keywords
Field
DocType
higher-order eigenvalue decomposition for 4th- order tensors.,constant distance,interspectral tensor,joint estimation,data acquisition scheme,subspaces estimation,new eigenstructure-based algorithm,proposed algorithm,vector-sensor music,and phrases: vector-sensor array,data structure,vector music,higher-order eigenvalue decomposition,music algorithm,polarization estimation,seismic sources localization,sensor array,eigenvalue decomposition,higher order
Telecommunications,Tensor,Multilinear algebra,Computer science,Direction of arrival,Sensor array,Artificial intelligence,Estimation theory,Eigenvalues and eigenvectors,Computer vision,Algorithm,Antenna array,Eigendecomposition of a matrix
Journal
Volume
Issue
ISSN
2005,
1
1687-6180
Citations 
PageRank 
References 
22
1.29
7
Authors
3
Name
Order
Citations
PageRank
Sebastian Miron18512.01
Nicolas Le Bihan225423.35
Jérôme I. Mars37811.17