Title:
Localization of Subsurface Targets using Optimal Maneuvers of Seismic Sensors

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dc.contributor.advisor McClellan, James H.
dc.contributor.author Alam, Mubashir en_US
dc.contributor.committeeMember Laurence J. Jacobs
dc.contributor.committeeMember Mersereau, Russell M.
dc.contributor.committeeMember Thomas E. Michaels
dc.contributor.committeeMember Waymond R. Scott
dc.contributor.department Electrical and Computer Engineering en_US
dc.date.accessioned 2006-09-01T19:05:03Z
dc.date.available 2006-09-01T19:05:03Z
dc.date.issued 2006-05-10 en_US
dc.description.abstract The use of seismic waves to detect subsurface targets such as landmines is a very promising technology compared to existing methods like Ground Penetrating Radar (GPR) and Electromagnetic Induction (EMI) sensing. The fact that seismic waves induce resonance in man-made targets, and hence more scattering, gives this method a natural ability to discriminate landmines from common types of clutter like rocks, wood, etc. Reflection and resonance from the targets can be used in imaging to detect the location of targets. However, existing methods require a large number of measurements for imaging and detection, which are expensive and time consuming. To reduce the number of measurements and enable faster detections, a new sensing strategy is proposed based on optimally maneuvering sensors. The system would operate in two main modes. In search mode, the goal would be to move on top of a target using the minimum number of measurements. Once the target is found, the system would switch to a detection mode to make its final decision. The seismic sensor system is an active system, where a seismic source generates the probing pulse. The waves reflected from buried targets are collected by an array of sensors placed on the surface, and then an imaging algorithm is used to estimate the target position. The performance bounds for this position estimate are derived in terms of the Fisher information matrix (FIM). This matrix gives the dependence of the target position estimate on the array position. Based on the FIM, the next optimal array position is determined by using the theory of optimal experiments. The next array position will be the one that reduces the uncertainty of the target position estimate the most. The whole array is moved to this new position, where the same steps are repeated. In this way, the target can be localized in a few iterations. en_US
dc.description.degree Ph.D. en_US
dc.format.extent 4080157 bytes
dc.format.mimetype application/pdf
dc.identifier.uri http://hdl.handle.net/1853/11458
dc.language.iso en_US
dc.publisher Georgia Institute of Technology en_US
dc.subject Confirmation en_US
dc.subject Localization
dc.subject Spectrum anaylysis
dc.subject Array processing
dc.subject Land mines
dc.subject Seismic
dc.subject Maneuvering
dc.title Localization of Subsurface Targets using Optimal Maneuvers of Seismic Sensors en_US
dc.type Text
dc.type.genre Dissertation
dspace.entity.type Publication
local.contributor.advisor McClellan, James H.
local.contributor.corporatename School of Electrical and Computer Engineering
local.contributor.corporatename College of Engineering
relation.isAdvisorOfPublication c383c58b-0c2c-4089-86f9-7ea95c323479
relation.isOrgUnitOfPublication 5b7adef2-447c-4270-b9fc-846bd76f80f2
relation.isOrgUnitOfPublication 7c022d60-21d5-497c-b552-95e489a06569
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