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dc.contributor.authorWang, Wenboen_US
dc.identifier.citationWang, W. (2022). Robust machine-learning based algorithm for detection of signal under noise floor. Final Year Project (FYP), Nanyang Technological University, Singapore.
dc.description.abstractSpectrum sensing plays an important role in cognitive radio. In wireless communication systems, due to severe transmission environment of interference, the received signals may be very weak as compared to the background noise. In this project, first, the existing schemes of detection of signals below the noise floor are studied. Following that, a machine-learning based algorithm using one-dimensional convolution neural network is developed and applied to detect the presence of signals below the noise floor. By testing on various cases and comparing with existing methods, it shows better performance and higher accuracy. It also brings out potential study subjects concerning real life application and signal enhancement.en_US
dc.publisherNanyang Technological Universityen_US
dc.subjectEngineering::Electrical and electronic engineering::Wireless communication systemsen_US
dc.titleRobust machine-learning based algorithm for detection of signal under noise flooren_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorTeh Kah Chanen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeBachelor of Engineering (Electrical and Electronic Engineering)en_US
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Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)
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