Digital Signal Processing and Machine Learning Applied to Power Line Communications

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dc.contributor.advisorMcClellan, Stan
dc.contributor.authorThapa, Kushal
dc.contributor.committeeMemberValles, Damian
dc.contributor.committeeMemberAslan, Semih
dc.contributor.committeeMemberCarvallo, Andres
dc.date.accessioned2021-07-22T13:02:22Z
dc.date.available2021-07-22T13:02:22Z
dc.date.issued2021-08
dc.description.abstractPower Line Communications (PLC) is a technology that uses power lines to transport communication data alongside the electric power signals. Due to the ubiquitous nature of pre-existing power grid infrastructure, PLC has a huge networking potential, especially in the implementation of smart grid technologies. However, the electrical architecture and function of distribution grid systems, which is specifically designed to carry power signals, poses a major hindrance to communication signals. This hindrance typically takes the form of poor signal propagation. Traditional signal processing measures may be neither sufficiently adaptable nor optimally effective in recovering communication signals at the receiver end. To overcome this challenge, this research investigates the use of machine learning techniques as a supplement to the traditional digital signal processing techniques. We focus on testing and comparing various supervised machine learning and deep learning algorithms for the purpose of signal demodulation and bit classification in ultra-low-frequency, baseband PLC systems operating in the electrical distribution grid.
dc.description.departmentEngineering
dc.formatText
dc.format.extent104 pages
dc.format.medium1 file (.pdf)
dc.identifier.citationThapa, K. (2021). <i>Digital signal processing and machine learning applied to power line communications</i> (Unpublished thesis). Texas State University, San Marcos, Texas.
dc.identifier.urihttps://hdl.handle.net/10877/14044
dc.language.isoen
dc.subjectPower line communications
dc.subjectUltra-low frequency power line communications
dc.subjectPLC
dc.subjectULF-PLC
dc.subjectMachine learning
dc.subjectML
dc.subjectSmart grid
dc.titleDigital Signal Processing and Machine Learning Applied to Power Line Communications
dc.typeThesis
thesis.degree.departmentEngineering
thesis.degree.disciplineEngineering
thesis.degree.grantorTexas State University
thesis.degree.levelMasters
thesis.degree.nameMaster of Science

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