MUSIC algorithm applied to Advanced EMI sensors data for UXO classification

The multiple signal classification (MUSIC) algorithm, that utilizes next generation electromagnetic induction (EMI) sensor, multi static response (MRS) data matrix's eigenvector's and eigenvalues, is employed for estimating number of subsurface metallic targets and pinpointing their locati...

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Main Authors: Economou, D. P., Shubitidze, F., Barrowes, B., Uzunoglu, N. K.
Format: Conference Proceeding
Language:English
Subjects:
Arrays
Educational institutions
Eigenvalues and eigenfunctions
Electromagnetic interference
Multiple signal classification
Noise
Sensors
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creator Economou, D. P.
Shubitidze, F.
Barrowes, B.
Uzunoglu, N. K.
description The multiple signal classification (MUSIC) algorithm, that utilizes next generation electromagnetic induction (EMI) sensor, multi static response (MRS) data matrix's eigenvector's and eigenvalues, is employed for estimating number of subsurface metallic targets and pinpointing their location. The method divides MRS matrix data eigenvectors into two groups: the noise and signal subspaces. It projects the estimated EM signal into the noise subspace and utilizes the fact that the modeled magnetic field for each actual source location is orthogonal to the noise subspace. Data are presented for demonstrating the effectiveness of the method.
doi_str_mv 10.1109/ICEAA.2011.6046514
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subjects Arrays
Educational institutions
Eigenvalues and eigenfunctions
Electromagnetic interference
Multiple signal classification
Noise
Sensors
title MUSIC algorithm applied to Advanced EMI sensors data for UXO classification
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