Efficient Radiometric Signature Methods for Cognitive Radio Devices

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dc.contributor.advisorKoushanfar, Farinaz
dc.creatorKocabas, Ovunc
dc.date.accessioned2013-03-08T00:35:09Z
dc.date.available2013-03-08T00:35:09Z
dc.date.issued2011
dc.description.abstractThis thesis presents the first comprehensive study and new methods for radiometric fingerprinting of the Cognitive Radio (CR) devices. The scope of the currently available radio identification techniques is limited to a single radio adjustment. Yet, the variable nature of the CR with multiple levels of parameters and adjustments renders the radiometric fingerprinting much more complex. We introduce a new method for radiometric fingerprinting that detects the unique variations in the hardware of the reconfigurable radio by passively monitoring the radio packets. Several individual identifiers are used for extracting the unique physical characteristics of the radio, including the frequency offset, modulated phase offset, in-phase/quadrature-phase offset from the origin, and magnitude. Our method provides stable and robust identification by developing individual identifiers (classifiers) that may each be weak (i.e., incurring a high prediction error) but their committee can provide a strong classification technique. Weighted voting method is used for combining the classifiers. Our hardware implementation and experimental evaluations over multiple radios demonstrate that our weighted voting approach can identify the radios with an average of 97.7% detection probability and an average of 2.3% probability of false alarm after testing only 5 frames. The probability of detection and probability of false alarms both rapidly improve by increasing the number of test frames.
dc.format.extent72 p.en_US
dc.format.mimetypeapplication/pdf
dc.identifier.callnoTHESIS E.E. 2011 KOCABAS
dc.identifier.citationKocabas, Ovunc. "Efficient Radiometric Signature Methods for Cognitive Radio Devices." (2011) Master’s Thesis, Rice University. <a href="https://hdl.handle.net/1911/70296">https://hdl.handle.net/1911/70296</a>.
dc.identifier.digitalKocabasOen_US
dc.identifier.urihttps://hdl.handle.net/1911/70296
dc.language.isoeng
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.
dc.subjectApplied sciences
dc.subjectElectrical engineering
dc.titleEfficient Radiometric Signature Methods for Cognitive Radio Devices
dc.typeThesis
dc.type.materialText
thesis.degree.departmentElectrical Engineering
thesis.degree.disciplineEngineering
thesis.degree.grantorRice University
thesis.degree.levelMasters
thesis.degree.nameMaster of Science
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