Eigenspace Approach to Specific Emitter Identification of Orthogonal Frequency Division Multiplexing Signals

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dc.contributor.authorSahmel, Peter H.en
dc.contributor.committeechairReed, Jeffrey H.en
dc.contributor.committeememberDietrich, Carl B.en
dc.contributor.committeememberSpooner, Chad M.en
dc.contributor.departmentElectrical and Computer Engineeringen
dc.date.accessioned2014-03-14T20:49:03Zen
dc.date.adate2012-01-06en
dc.date.available2014-03-14T20:49:03Zen
dc.date.issued2011-11-16en
dc.date.rdate2012-01-06en
dc.date.sdate2011-12-06en
dc.description.abstractSpecific emitter identification is a technology used to uniquely identify a class of wireless devices, and in some cases a single device. Minute differences in the implementation of a wireless communication standard from one device manufacturer to another make it possi- ble to extract a wireless "fingerprint" from the transmitted signal. These differences may stem from imperfect radio frequency (RF) components such as filters and power amplifiers. However, the problem of identifying a wireless device through analysis of these key signal characteristics presents several difficulties from an algorithmic perspective. Given that the differences in these features can be extremely subtle, in general a high signal to noise ratio (SNR) is necessary for a sufficient probability of correct detection. If a sufficiently high SNR is not guaranteed, then some from of identification algorithm which operates well in low SNR conditions must be used. Cyclostationary analysis offers a method of specific emitter iden- tification through analysis of second order spectral correlation features which can perform well at relatively low SNRs. The eigenvector/eigenvalue decomposition (EVD) is capable of separating principal components from uncorrelated gaussian noise. This work proposes a technique of specific emitter identification which utilizes the principal components of the EVD of the spectral correlation function which has been arranged into a square matrix. An analysis of this EVD-based SEI technique is presented herein, and some limitations are identified. Analysis is constrained to orthogonal frequency division multiplexing (OFDM) using the IEEE 802.16 specification (used for WiMAX) as a guideline for a variety of pilot arrangements.en
dc.description.degreeMaster of Scienceen
dc.identifier.otheretd-12062011-095822en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-12062011-095822/en
dc.identifier.urihttp://hdl.handle.net/10919/35987en
dc.publisherVirginia Techen
dc.relation.haspartSahmel_PH_T_2011.pdfen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectCyclostationarityen
dc.subjectEigenecompositionen
dc.subjectHidden Markov Modelsen
dc.subjectSpecific Emitter Identificationen
dc.titleEigenspace Approach to Specific Emitter Identification of Orthogonal Frequency Division Multiplexing Signalsen
dc.typeThesisen
thesis.degree.disciplineElectrical and Computer Engineeringen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

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