Power adaptation for vector parameter estimation according to Fisher information based optimality criteria

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buir.contributor.authorGezici, Sinan
dc.citation.epage11en_US
dc.citation.spage1en_US
dc.citation.volumeNumber192en_US
dc.contributor.authorGürgünoğlu, Doğa
dc.contributor.authorDülek, Berkan
dc.contributor.authorGezici, Sinan
dc.coverage.spatialNetherlandsen_US
dc.date.accessioned2023-02-22T05:51:24Z
dc.date.available2023-02-22T05:51:24Z
dc.date.issued2022-03
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.description.abstractThe optimal power adaptation problem is investigated for vector parameter estimation according to various Fisher information based optimality criteria. By considering an observation model that involves a linear transformation of the parameter vector and an additive noise component with an arbitrary probability distribution, six different optimal power allocation problems are formulated based on Fisher information based objective functions. Via optimization theoretic approaches, various closed-form solutions are derived for the proposed problems. Also, the results are extended to cases in which nuisance parameters exist in the system model or certain types of nonlinear transformations are applied on the parameter vector. Numerical examples are presented to investigate performance of the proposed power allocation strategies.en_US
dc.description.provenanceSubmitted by Betül Özen (ozen@bilkent.edu.tr) on 2023-02-22T05:51:24Z No. of bitstreams: 1 Power_adaptation_for_vector_parameter_estimation_according_to_Fisher_information_based_optimality_criteria.pdf: 967672 bytes, checksum: c3df11afbf542bd1cdb54eaaf9f6a353 (MD5)en
dc.description.provenanceMade available in DSpace on 2023-02-22T05:51:24Z (GMT). No. of bitstreams: 1 Power_adaptation_for_vector_parameter_estimation_according_to_Fisher_information_based_optimality_criteria.pdf: 967672 bytes, checksum: c3df11afbf542bd1cdb54eaaf9f6a353 (MD5) Previous issue date: 2022-03en
dc.identifier.doi10.1016/j.sigpro.2021.108390en_US
dc.identifier.issn0165-1684
dc.identifier.urihttp://hdl.handle.net/11693/111595
dc.language.isoEnglishen_US
dc.publisherElsevier BVen_US
dc.relation.isversionofhttps://doi.org/10.1016/j.sigpro.2021.108390en_US
dc.source.titleSignal Processingen_US
dc.subjectCramér-Rao lower bounden_US
dc.subjectEstimationen_US
dc.subjectFisher informationen_US
dc.subjectPower adaptationen_US
dc.titlePower adaptation for vector parameter estimation according to Fisher information based optimality criteriaen_US
dc.typeArticleen_US

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