Deep learning based signal detection for low signal-to-noise ratio system

Deep learning based signal detection for low signal-to-noise ratio system

For cognitive radios, it is quintessential for systems to accurately detect the presence of primary users’ (PU) signal in licensed spectrum, allowing secondary users (SU) to opportunistically utilize the idle spectrum. Traditional energy detection method is widely used due to its simplicity and effe...

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Detalhes bibliográficos
Autor principal: Tang, Kirk Ji Wei
Outros Autores: Teh Kah Chan
Formato: Final Year Project (FYP)
Idioma:English
Publicado em: Nanyang Technological University 2022
Assuntos:
Engineering::Electrical and electronic engineering::Wireless communication systems
Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Acesso em linha:https://hdl.handle.net/10356/163390

Internet

https://hdl.handle.net/10356/163390

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