Efficient Radiometric Signature Methods for Cognitive Radio Devices

Simple item page
dc.contributor.advisorKoushanfar, Farinazen_US
dc.creatorKocabas, Ovuncen_US
dc.date.accessioned2013-03-08T00:35:09Zen_US
dc.date.available2013-03-08T00:35:09Zen_US
dc.date.issued2011en_US
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.en_US
dc.format.extent72 p.en_US
dc.format.mimetypeapplication/pdfen_US
dc.identifier.callnoTHESIS E.E. 2011 KOCABASen_US
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>.en_US
dc.identifier.digitalKocabasOen_US
dc.identifier.urihttps://hdl.handle.net/1911/70296en_US
dc.language.isoengen_US
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.en_US
dc.subjectApplied sciencesen_US
dc.subjectElectrical engineeringen_US
dc.titleEfficient Radiometric Signature Methods for Cognitive Radio Devicesen_US
dc.typeThesisen_US
dc.type.materialTexten_US
thesis.degree.departmentElectrical Engineeringen_US
thesis.degree.disciplineEngineeringen_US
thesis.degree.grantorRice Universityen_US
thesis.degree.levelMastersen_US
thesis.degree.nameMaster of Scienceen_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
KocabasO.pdf
Size:
2.87 MB
Format:
Adobe Portable Document Format
Download
Collections
Rice University Theses and Dissertations
ECE Theses and Dissertations