MIMO radar: signal processing, waveform design, and applications to synthetic aperture imaging

dc.contributor.advisor Lanterman, Aaron D.
dc.contributor.author Davis, Michael Scott
dc.contributor.committeeMember Weitnauer, Mary Ann
dc.contributor.committeeMember Xie, Yao
dc.contributor.committeeMember Romberg, Justin K.
dc.contributor.committeeMember Peterson, Andrew F.
dc.contributor.department Electrical and Computer Engineering
dc.date.accessioned 2015-06-08T18:35:46Z
dc.date.available 2015-06-08T18:35:46Z
dc.date.created 2015-05
dc.date.issued 2015-04-03
dc.date.submitted May 2015
dc.date.updated 2015-06-08T18:35:46Z
dc.description.abstract This dissertation analyzes the capability of multiple-input, multiple-output (MIMO) radar techniques to improve the image quality and area-coverage rate of synthetic aperture imaging systems. A signal processing architecture for MIMO radar is used to understand the applicability of MIMO for synthetic aperture radar (SAR) and synthetic aperture sonar (SAS) systems. MIMO SAR/SAS is shown to be a natural extension of standard multichannel synthetic aperture imaging techniques to exploit transmit degrees of freedom in addition to those used on receive. Degradation in range sidelobe performance and the associated impact on image quality is identified as a key impediment to MIMO SAR/SAS. A novel mismatched filtering approach is presented to mitigate this issue. New results in sampling theory are derived that allow the aliasing that occurs when a wide-sense stationary random process is non-uniformly sampled to be quantified. These results are applied to the case of recurrent sampling and used to quantify the impact of azimuth ambiguities on MIMO SAR/SAS image contrast.
dc.description.degree Ph.D.
dc.format.mimetype application/pdf
dc.identifier.uri http://hdl.handle.net/1853/53566
dc.language.iso en_US
dc.publisher Georgia Institute of Technology
dc.subject Radar signal processing
dc.subject Synthetic aperture radar
dc.subject Synthetic aperture sonar
dc.title MIMO radar: signal processing, waveform design, and applications to synthetic aperture imaging
dc.type Text
dc.type.genre Dissertation
dspace.entity.type Publication
local.contributor.advisor Lanterman, Aaron D.
local.contributor.corporatename School of Electrical and Computer Engineering
local.contributor.corporatename College of Engineering
relation.isAdvisorOfPublication 8a33b73f-88b1-4907-b2f6-307f5ad37738
relation.isOrgUnitOfPublication 5b7adef2-447c-4270-b9fc-846bd76f80f2
relation.isOrgUnitOfPublication 7c022d60-21d5-497c-b552-95e489a06569
thesis.degree.level Doctoral
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