MUSIC algorithm applied to Advanced EMI sensors data for UXO classification

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dc.contributor.author Economou, DP en
dc.contributor.author Shubitidze, F en
dc.contributor.author Barrowes, B en
dc.contributor.author Uzunoglu, NK en
dc.date.accessioned 2014-03-01T02:47:25Z
dc.date.available 2014-03-01T02:47:25Z
dc.date.issued 2011 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/33132
dc.subject Eigenvalues en
dc.subject Eigenvectors en
dc.subject Electromagnetic Induction en
dc.subject Magnetic Field en
dc.subject Next Generation en
dc.subject.other Data matrices en
dc.subject.other Eigenvalues en
dc.subject.other Electromagnetic induction sensors en
dc.subject.other EMI Sensors en
dc.subject.other IT project en
dc.subject.other matrix en
dc.subject.other Multi-static en
dc.subject.other Multiple signal classification algorithm en
dc.subject.other MUSIC algorithms en
dc.subject.other Noise subspace en
dc.subject.other Signal sub-space en
dc.subject.other Source location en
dc.subject.other Subsurface metallic targets en
dc.subject.other UXO classification en
dc.subject.other Algorithms en
dc.subject.other Eigenvalues and eigenfunctions en
dc.subject.other Electromagnetic induction en
dc.subject.other Magnetic fields en
dc.subject.other Sensors en
dc.subject.other Wavelet analysis en
dc.subject.other Computer music en
dc.title MUSIC algorithm applied to Advanced EMI sensors data for UXO classification en
heal.type conferenceItem en
heal.identifier.primary 10.1109/ICEAA.2011.6046514 en
heal.identifier.secondary http://dx.doi.org/10.1109/ICEAA.2011.6046514 en
heal.identifier.secondary 6046514 en
heal.publicationDate 2011 en
heal.abstract 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. © 2011 IEEE. en
heal.journalName Proceedings - 2011 International Conference on Electromagnetics in Advanced Applications, ICEAA'11 en
dc.identifier.doi 10.1109/ICEAA.2011.6046514 en
dc.identifier.spage 1160 en
dc.identifier.epage 1163 en

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