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Acoustic modeshape inversion using deep water ambient noise measurements

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dc.contributor.author AlMuhanna, Khalid A.
dc.creator AlMuhanna, Khalid A.
dc.date 2008-06-04
dc.date.accessioned 2008-08-07T14:26:39Z
dc.date.available NO_RESTRICTION en
dc.date.available 2008-08-07T14:26:39Z
dc.date.issued 2008-08-07T14:26:39Z
dc.identifier.uri https://hdl.handle.net/1920/3214
dc.description.abstract Ocean acoustic tomography is a powerful method that uses sound to study ocean properties such as temperature, which is directly related to sound speed in water. This thesis focuses on using ambient noise to infer the normal modes of the ocean waveguide. The modes are a set of orthogonal functions that are solutions to the depth dependent wave equation, which depends on sound speed and thus on the temperature. Assuming that noise signals received by a vertical array consist of a sum of uncorrelated modes, the modeshapes can be determined from an eigenvector decomposition of the measured cross-spectral density matrix. Several authors have applied this technique to estimate the modes of shallow water waveguides, but there have been few opportunities to apply this technique in deep water waveguides. In this thesis the modeshapes of a deep water environment in the North Pacific are estimated using ambient noise data measured during the SPICE04 experiment. Although noise measurements were not the primary focus of SPICE04, the experiment provided a large data set for this analysis. In addition to acoustic measurements, the experiment also included extensive sampling of the environmental parameters. This thesis summarizes some of the noise statistics measured during 2004-2005. The measured modeshapes derived from the data are compared with the true modes derived from the measured environmental data.
dc.language.iso en_US en
dc.subject modes en_US
dc.subject underwater en_US
dc.subject noise en_US
dc.subject ambient en_US
dc.subject ocean en_US
dc.subject acoustics en_US
dc.title Acoustic modeshape inversion using deep water ambient noise measurements en
dc.type Thesis en
thesis.degree.name Master of Science in Electrical Engineering en
thesis.degree.level Master's en
thesis.degree.discipline Electrical Engineering en
thesis.degree.grantor George Mason University en


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