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dc.contributor.authorKees, Joel Thomasen_US
dc.date.accessioned2019-03-08T14:14:17Z
dc.date.available2019-03-08T14:14:17Z
dc.date.issued2019-03-07
dc.identifier.othervt_gsexam:18963en_US
dc.identifier.urihttp://hdl.handle.net/10919/88385
dc.description.abstractRobust nonparametric spectral estimation includes generating an accurate estimate of the Power Spectral Density (PSD) for a given set of data while trying to minimize the bias due to data outliers. Robust nonparametric spectral estimation is applied in the domain of electrical communications and digital signal processing when a PSD estimate of the electromagnetic spectrum is desired (often for the goal of signal detection), and when the spectrum is also contaminated by Impulsive Noise (IN). Power Line Communication (PLC) is an example of a communication environment where IN is a concern because power lines were not designed with the intent to transmit communication signals. There are many different noise models used to statistically model different types of IN, but one popular model that has been used for PLC and various other applications is called the Middleton Class A model, and this model is extensively used in this thesis. The performances of two different nonparametric spectral estimation methods are analyzed in IN: the Welch method and the multitaper method. These estimators work well under the common assumption that the receiver noise is characterized by Additive White Gaussian Noise (AWGN). However, the performance degrades for both of these estimators when they are used for signal detection in IN environments. In this thesis basic robust estimation theory is used to modify the Welch and multitaper methods in order to increase their robustness, and it is shown that the signal detection capabilities in IN is improved when using the modified robust estimators.en_US
dc.format.mediumETDen_US
dc.publisherVirginia Techen_US
dc.rightsThis item is protected by copyright and/or related rights. Some uses of this item may be deemed fair and permitted by law even without permission from the rights holder(s), or the rights holder(s) may have licensed the work for use under certain conditions. For other uses you need to obtain permission from the rights holder(s).en_US
dc.subjectSpectrum Sensingen_US
dc.subjectPower Line Communicationen_US
dc.subjectWelch Methoden_US
dc.subjectMultitaper Methoden_US
dc.subjectMiddleton Class A Noiseen_US
dc.subjectImpulsive Noiseen_US
dc.subjectRobust Estimationen_US
dc.titleRobust Blind Spectral Estimation in the Presence of Impulsive Noiseen_US
dc.typeThesisen_US
dc.contributor.departmentElectrical Engineeringen_US
dc.description.degreeMaster of Scienceen_US
thesis.degree.nameMaster of Scienceen_US
thesis.degree.levelmastersen_US
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen_US
thesis.degree.disciplineElectrical Engineeringen_US
dc.contributor.committeechairBeex, Aloysius A.en_US
dc.contributor.committeechairErnst, Joseph M.en_US
dc.contributor.committeememberHeadley, William C.en_US
dc.contributor.committeememberDhillon, Harpreet Singhen_US


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