Optimal power allocation techniques for vector parameter estimation with Fisher information based objectives

buir.advisorGezici, Sinan
dc.contributor.authorGürgünoğlu, Doğa
dc.date.accessioned2021-06-08T07:24:48Z
dc.date.available2021-06-08T07:24:48Z
dc.date.copyright2021-06
dc.date.issued2021-06
dc.date.submitted2021-06-04
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.descriptionCataloged from PDF version of article.en_US
dc.descriptionThesis (Master's): Bilkent University, Department of Electrical and Electronics Engineering, İhsan Doğramacı Bilkent University, 2021.en_US
dc.descriptionIncludes bibliographical references (leaves 39-42).en_US
dc.description.abstractIn this thesis, optimal power allocation problems are investigated for vector parameter estimation according to various Fisher information based optimality criteria. By considering a generic observation model involving a linear/nonlinear transformation of the parameter vector and an additive noise component with an arbitrary joint probability distribution, six different optimal power allocation problems are formulated based on Fisher information based objective functions. Various closed-form solutions are derived for the proposed problems using opti-mization theoretic approaches for the cases in which the transformation acting on the parameter vector is linear. Also, the results are extended to cases in which nuisance parameters exist in the system model, and to the cases when the transformation acting on the parameter vector is nonlinear. It is shown that the proposed methods are also valid for the provided extensions under certain conditions. Numerical examples are presented to investigate performance of the proposed power allocation strategies, and it is shown that they provide significant performance gains over the equal power allocation strategy.en_US
dc.description.degreeM.S.en_US
dc.description.statementofresponsibilityby Doğa Gürgünoğluen_US
dc.format.extentviii, 42 pages : charts ; 30 cm.en_US
dc.identifier.itemidB126163
dc.identifier.urihttp://hdl.handle.net/11693/76360
dc.language.isoEnglishen_US
dc.publisherBilkent Universityen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectCramer-Rao lower bounden_US
dc.subjectEstimationen_US
dc.subjectFisher informationen_US
dc.subjectPower adap-tationen_US
dc.titleOptimal power allocation techniques for vector parameter estimation with Fisher information based objectivesen_US
dc.title.alternativeFisher bilgisi tabanlı objektiflerle vektör parametre kestirimi için optimal güç dağıtım tekniklerien_US
dc.typeThesisen_US

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
10397393.pdf
Size:
539.29 KB
Format:
Adobe Portable Document Format
Description:
Full printable version
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.69 KB
Format:
Item-specific license agreed upon to submission
Description: