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Energy Detector in Cognitive Radio for TV White Spaces by Software Defined Radio

Monica Alcaraz; Fatima Moumtadi
This paper exposes the investigation of the cognitive radios, specifically the implementation of the stage: Spectrum Detection. The study is performed in the Television (TV) band using the Energy Detection technique, which consists of measuring the power of the received TV signal within a bandwidth and comparing it with a defined signal that will act as a threshold to detect the existence of TV White Spaces (TVWS) in a suburban environment. The project is based on Software Defined Radio (SDR) technologies, since this technology allows an evolution of the SDR concept to a higher level such as Cognitive Radio. Initially, the implementation for the detection of primary users using Python programming in the GNU Radio software is presented, and experimental tests will be complemented with the reception of TV signals using the Universal Software Radio Peripheral (USRP) devices. Finally, the results show that in some television channels the level of occupation is null for some periods of time, which proves the existence of TV White Spaces in suburban environments shown in this project
Select Volume / Issues:
Year:
2017
Type of Publication:
Article
Keywords:
Cognitive Radio; Energy Detector; Software Defined Radio; Spectrum Detection; TV White Spaces
Journal:
IJECCE
Volume:
8
Number:
4
Pages:
246-250
Month:
July
ISSN:
2249-071X
Hits: 164

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