Title:
Space-time-frequency processing from the analysis of bistatic scattering for simple underwater targets

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dc.contributor.advisor Sabra, Karim G.
dc.contributor.author Anderson, Shaun David en_US
dc.contributor.committeeMember Aaron D. Lanterman
dc.contributor.committeeMember Degertekin, F. Levent
dc.contributor.committeeMember Lora G. Weiss
dc.contributor.committeeMember Rogers, Peter H.
dc.contributor.department Mechanical Engineering en_US
dc.date.accessioned 2013-01-17T21:00:27Z
dc.date.available 2013-01-17T21:00:27Z
dc.date.issued 2012-08-14 en_US
dc.description.abstract The development of low-frequency SONAR systems, using a network of autonomous systems in unmanned vehicles, provides a practical means for bistatic measurements (i.e. when the source and receiver are widely separated, thus allowing multiple viewpoints of a target). Furthermore, time-frequency analysis, in particular Wigner-Ville analysis, takes advantage of the evolution of the time dependent echo spectrum to differentiate a man-made target (e.g. an elastic spherical shell, or cylinder) from a natural one of the similar shape (e.g. a rock). Indeed, key energetic features of man-made objects can aid in identification and classification in the presence of clutter and noise. For example, in a fluid-loaded thin spherical shell, an energetic feature is the mid-frequency enhancement echoes (MFE) that result from antisymmetric Lamb waves propagating around the circumference of the shell, which have been shown to be an acoustic feature useful in this pursuit. This research investigates the enhancement and benefits of bistatic measurements using the Wigner-Ville analysis along with acoustic imaging methods. Additionally, the advantage of joint space-time-frequency coherent processing is investigated for optimal array processing to enhance the detection of non-stationary signals across an array. The proposed methodology is tested using both numerical simulations and experimental data for spherical shells and solid cylinders. This research was conducted as part of the Shallow Water Autonomous Mine Sensing Initiative (SWAMSI) sponsored by ONR. en_US
dc.description.degree PhD en_US
dc.identifier.uri http://hdl.handle.net/1853/45771
dc.publisher Georgia Institute of Technology en_US
dc.subject Wigner-Ville en_US
dc.subject Space-time-frequency en_US
dc.subject Time-frequency en_US
dc.subject Noise reduction en_US
dc.subject SAS en_US
dc.subject Imaging en_US
dc.subject Bistatic en_US
dc.subject Acoustics en_US
dc.subject Scattering en_US
dc.subject.lcsh Underwater acoustics
dc.subject.lcsh Acoustic imaging
dc.subject.lcsh Ultrasonic imaging
dc.subject.lcsh Sonar
dc.title Space-time-frequency processing from the analysis of bistatic scattering for simple underwater targets en_US
dc.type Text
dc.type.genre Dissertation
dspace.entity.type Publication
local.contributor.advisor Sabra, Karim G.
local.contributor.corporatename George W. Woodruff School of Mechanical Engineering
local.contributor.corporatename College of Engineering
relation.isAdvisorOfPublication 746faa42-e7e0-4510-969d-e841de5920da
relation.isOrgUnitOfPublication c01ff908-c25f-439b-bf10-a074ed886bb7
relation.isOrgUnitOfPublication 7c022d60-21d5-497c-b552-95e489a06569
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