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MIMO radars with sparse sensing

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TitleInfo
Title
MIMO radars with sparse sensing
Name (type = personal)
NamePart (type = family)
Sun
NamePart (type = given)
Shunqiao
NamePart (type = date)
1980-
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Shunqiao Sun
Role
RoleTerm (authority = RULIB)
author
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Petropulu
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Athina
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Athina Petropulu
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Advisory Committee
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chair
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Wade
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Wade Trappe
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Advisory Committee
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internal member
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Bajwa
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Waheed
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Waheed Bajwa
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Advisory Committee
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internal member
Name (type = personal)
NamePart (type = family)
Katehakis
NamePart (type = given)
Michael
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Michael Katehakis
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Advisory Committee
Role
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outside member
Name (type = corporate)
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Rutgers University
Role
RoleTerm (authority = RULIB)
degree grantor
Name (type = corporate)
NamePart
Graduate School - New Brunswick
Role
RoleTerm (authority = RULIB)
school
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Text
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theses
OriginInfo
DateCreated (encoding = w3cdtf); (qualifier = exact)
2016
DateOther (qualifier = exact); (type = degree)
2016-01
CopyrightDate (encoding = w3cdtf); (qualifier = exact)
2016
Place
PlaceTerm (type = code)
xx
Language
LanguageTerm (authority = ISO639-2b); (type = code)
eng
Abstract
Multi-input and multi-output (MIMO) radars achieve high resolution of arrival direction by transmitting orthogonal waveforms, performing matched filtering at the receiver end and then jointly processing the measurements of all receive antennas. This dissertation studies the use of compressive sensing (CS) and matrix completion (MC) techniques as means of reducing the amount of data that need to be collected by a MIMO radar system, without sacrificing the system’s good resolution properties. MIMO radars with sparse sensing are useful in networked radar scenarios, in which the joint processing of the measurements is done at a fusion center, which might be connected to the receive antennas via a wireless link. In such scenarios, reduced amount of data translates into bandwidth and power saving in the receiver-fusion center link. First, we consider previously defined CS-based MIMO radar schemes, and propose optimal transmit antenna power allocation and transmit waveform design schemes that improve target localization performance. The optimization criterion is to minimize the coherence between the columns of the sensing matrix. In addition, we propose a clutter suppression scheme based on the Capon beamforming in the CS-based MIMO radars. Second, we propose a novel MIMO radar approach based on matrix completion, termed as MIMO-MC, in which each receive node either performs matched filtering with a small number of randomly selected dictionary waveforms, or obtains sub-Nyquist samples of the received target echoes at randomly sampled instants, and forwards the results to a fusion center. Based on the received samples, and with knowledge of the sampling scheme, the fusion center partially fills a matrix, referred to as the data matrix and subsequently applies matrix completion techniques to estimate the full matrix. The completed data matrix is used for target estimation with standard array signal processing methods. We show that MIMO-MC radars share the advantages of the CS based radars, i.e., high resolution with reduced amounts of data, but unlike CS-based radars do not require grid discretization and thus are not sensitive to basis mismatch. For MIMO radars with uniform linear arrays, we investigate the relationship between the coherence of the data matrix and the transmit waveforms, and formulate an optimal waveform design problem. This is an optimization problem on the complex Stiefel manifold, which is then solved via the modified steepest descent and the modified Newton algorithms with nonmonotone line search methods. We also propose transmit and receive beamforming schemes to significantly reduce the sampling rate at the receiver end in MIMO-MC radars.
Subject (authority = RUETD)
Topic
Electrical and Computer Engineering
Subject (authority = ETD-LCSH)
Topic
MIMO systems
Subject (authority = ETD-LCSH)
Topic
Radar
RelatedItem (type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier (type = RULIB)
ETD
Identifier
ETD_6898
PhysicalDescription
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electronic resource
InternetMediaType
application/pdf
InternetMediaType
text/xml
Extent
1 online resource (xvii, 163 p. : ill.)
Note (type = degree)
Ph.D.
Note (type = bibliography)
Includes bibliographical references
Note (type = statement of responsibility)
by Shunqiao Sun
RelatedItem (type = host)
TitleInfo
Title
Graduate School - New Brunswick Electronic Theses and Dissertations
Identifier (type = local)
rucore19991600001
Location
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NjNbRU
Identifier (type = doi)
doi:10.7282/T3CZ3975
Genre (authority = ExL-Esploro)
ETD doctoral
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Rights

RightsDeclaration (ID = rulibRdec0006)
The author owns the copyright to this work.
RightsHolder (type = personal)
Name
FamilyName
Sun
GivenName
Shunqiao
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2015-12-07 15:39:48
AssociatedEntity
Name
Shunqiao Sun
Role
Copyright holder
Affiliation
Rutgers University. Graduate School - New Brunswick
AssociatedObject
Type
License
Name
Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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ETD
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windows xp
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