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SFT-based DOA detection on co-prime array
Descriptive
TitleInfo
Title
SFT-based DOA detection on co-prime array
Name
(type = personal)
NamePart
(type = family)
Huang
NamePart
(type = given)
Guanjie
NamePart
(type = date)
1991-
DisplayForm
Guanjie Huang
Role
RoleTerm
(authority = RULIB)
author
Name
(type = personal)
NamePart
(type = family)
Petropulu
NamePart
(type = given)
Athina
DisplayForm
Athina Petropulu
Affiliation
Advisory Committee
Role
RoleTerm
(authority = RULIB)
chair
Name
(type = corporate)
NamePart
Rutgers University
Role
RoleTerm
(authority = RULIB)
degree grantor
Name
(type = corporate)
NamePart
Graduate School - New Brunswick
Role
RoleTerm
(authority = RULIB)
school
TypeOfResource
Text
Genre
(authority = marcgt)
theses
OriginInfo
DateCreated
(encoding = w3cdtf);
(qualifier = exact)
2015
DateOther
(qualifier = exact);
(type = degree)
2015-10
CopyrightDate
(encoding = w3cdtf);
(qualifier = exact)
2015
Place
PlaceTerm
(type = code)
xx
Language
LanguageTerm
(authority = ISO639-2b);
(type = code)
eng
Abstract
(type = abstract)
In the thesis, we propose a direction of arrival (DOA) estimation method with co-prime sensor arrays based on the Sparse Fourier Transform (SFT). A co-prime array is composed of two uniform linear arrays (ULAs) whose inter-sensor spacings are (M*lambda) /2 and (N*lambda )/2, respectively,where M and N are co-prime integers and the represents the signal wavelength. The co- prime array is adopted here because it can extend the degrees of freedom thus bene ting DOA detection. Assuming that there are not many targets in the array far eld, the array snapshot is sparse in the spatial frequency domain. Since the spatial frequencies of the array snapshot contain DOA information, the DFT is traditionally used to obtain DOA information. In the thesis, the SFT is employed to estimate the DOA instead of the DFT. Compared to the DFT, the SFT only needs a small subset of snapshot samples to estimate the signi cant coe cients. Owing to this advantage, we design a new method to estimate DOA, using a subset of sensors. Both analytical and computer simulations con rm the validity of the proposed approach.
Subject
(authority = RUETD)
Topic
Electrical and Computer Engineering
RelatedItem
(type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier
(type = RULIB)
ETD
Identifier
ETD_6806
PhysicalDescription
Form
(authority = gmd)
electronic resource
InternetMediaType
application/pdf
InternetMediaType
text/xml
Extent
1 online resource (vii, 29 p. : ill.)
Note
(type = degree)
M.S.
Note
(type = bibliography)
Includes bibliographical references
Subject
(authority = ETD-LCSH)
Topic
Fourier transformations
Note
(type = statement of responsibility)
by Guanjie Huang
RelatedItem
(type = host)
TitleInfo
Title
Graduate School - New Brunswick Electronic Theses and Dissertations
Identifier
(type = local)
rucore19991600001
Location
PhysicalLocation
(authority = marcorg);
(displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Identifier
(type = doi)
doi:10.7282/T32Z17HC
Genre
(authority = ExL-Esploro)
ETD graduate
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Rights
RightsDeclaration
(ID = rulibRdec0006)
The author owns the copyright to this work.
RightsHolder
(type = personal)
Name
FamilyName
Huang
GivenName
Guanjie
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime
(encoding = w3cdtf);
(qualifier = exact);
(point = start)
2015-09-28 21:05:09
AssociatedEntity
Name
Guanjie Huang
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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Technical
RULTechMD
(ID = TECHNICAL1)
ContentModel
ETD
OperatingSystem
(VERSION = 5.1)
windows xp
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