Open AccessTelevision channel spectrum sensing using independent component analysis
Author(s) -
Ferreira Paulo Ixtanio Leite,
Fontgalland Glauco,
Albert Bruno Barboso,
Gurjão Edmar Candeia
Publication year - 2015
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2014.0505
Subject(s) - independent component analysis , reuse , wideband , computer science , channel (broadcasting) , component (thermodynamics) , spectrum (functional analysis) , radio spectrum , frequency band , frequency allocation , spectrum management , telecommunications , electronic engineering , cognitive radio , artificial intelligence , bandwidth (computing) , wireless , engineering , physics , quantum mechanics , thermodynamics , waste management
Spectrum reuse has been proposed as a method to solve frequency bands scarcity. Detection of unused channels in a given frequency band is the main problem to reuse the spectrum. Various methods are proposed in the literature to perform this spectrum sensing. In this study, the authors apply independent component analysis (ICA) to estimate the available bands in the TV band spectrum when analogue and digital TV channels are in operation. Each component recovered by ICA is in a specific frequency band, then the other bands are considered free to reuse, that is, the absence of transmitters in a channel means there are unused bands. A measurement setup was implemented to validate the use of ICA as a spectrum detection method. The results also show the feasibility of using ICA for wideband spectrum sensing with low computational costs.