Television channel spectrum sensing using independent component analysis
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 independ...
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Veröffentlicht in: | IET communications 2015-05, Vol.9 (8), p.1054-1059 |
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description | 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. |
doi_str_mv | 10.1049/iet-com.2014.0505 |
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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.</description><subject>Band spectra</subject><subject>Channels</subject><subject>Computational efficiency</subject><subject>Detection</subject><subject>digital TV channel</subject><subject>frequency band estimation</subject><subject>frequency band scarcity</subject><subject>Frequency bands</subject><subject>frequency estimation</subject><subject>ICA</subject><subject>Independent component analysis</subject><subject>radio spectrum management</subject><subject>Reuse</subject><subject>signal detection</subject><subject>spectrum detection method</subject><subject>spectrum reuse</subject><subject>Television</subject><subject>television channel spectrum sensing</subject><subject>television transmitters</subject><subject>transmitter absence</subject><subject>TV band spectrum</subject><subject>unused channel detection</subject><subject>video signals</subject><issn>1751-8628</issn><issn>1751-8636</issn><issn>1751-8636</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><recordid>eNqFkD1PwzAURS0EEqXwA9gywpDiz3ywQdTSSq26tLPl2A64SpwQJ6D-exyCEAOC5fkN5_rqHQCuEZwhSNM7o7tQ1tUMQ0RnkEF2AiYoZihMIhKdfu84OQcXzh0gZCyidAKWO13qN-NMbQP5IqzVZeAaLbu2rwKnrTP2Oeg_p7FKN9oP2wW-qqntsAkryqMz7hKcFaJ0-urrnYL9Yr7LluF6-7TKHtahpJTiMIcsJVQxhApBC5IrqtJICypEXOR5LGWqpJIQp6iQhHgoQRRLAQuFBCaYkim4Gf9t2vq1167jlXFSl6Wwuu4dRwlMYBqlKPYoGlHZ1s61uuBNayrRHjmCfLDGvTXuT-GDNT5Y85n7MfNuSn38P8CzzR4_LiAiDPtwOIYH7FD3rXfj_iy7_YVfzXc8225-dDSqIB_6Q5HR</recordid><startdate>20150521</startdate><enddate>20150521</enddate><creator>Ferreira, Paulo Ixtanio Leite</creator><creator>Fontgalland, Glauco</creator><creator>Albert, Bruno Barboso</creator><creator>Gurjão, Edmar Candeia</creator><general>The Institution of Engineering and Technology</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20150521</creationdate><title>Television channel spectrum sensing using independent component analysis</title><author>Ferreira, Paulo Ixtanio Leite ; Fontgalland, Glauco ; Albert, Bruno Barboso ; Gurjão, Edmar Candeia</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4442-b05934d511fa4f3bd4d96ea4aa7fbb7cc9dcdc0291fc331fa8142ca0fd1a23243</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Band spectra</topic><topic>Channels</topic><topic>Computational efficiency</topic><topic>Detection</topic><topic>digital TV channel</topic><topic>frequency band estimation</topic><topic>frequency band scarcity</topic><topic>Frequency bands</topic><topic>frequency estimation</topic><topic>ICA</topic><topic>Independent component analysis</topic><topic>radio spectrum management</topic><topic>Reuse</topic><topic>signal detection</topic><topic>spectrum detection method</topic><topic>spectrum reuse</topic><topic>Television</topic><topic>television channel spectrum sensing</topic><topic>television transmitters</topic><topic>transmitter absence</topic><topic>TV band spectrum</topic><topic>unused channel detection</topic><topic>video signals</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ferreira, Paulo Ixtanio Leite</creatorcontrib><creatorcontrib>Fontgalland, Glauco</creatorcontrib><creatorcontrib>Albert, Bruno Barboso</creatorcontrib><creatorcontrib>Gurjão, Edmar Candeia</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>IET communications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Ferreira, Paulo Ixtanio Leite</au><au>Fontgalland, Glauco</au><au>Albert, Bruno Barboso</au><au>Gurjão, Edmar Candeia</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Television channel spectrum sensing using independent component analysis</atitle><jtitle>IET communications</jtitle><date>2015-05-21</date><risdate>2015</risdate><volume>9</volume><issue>8</issue><spage>1054</spage><epage>1059</epage><pages>1054-1059</pages><issn>1751-8628</issn><issn>1751-8636</issn><eissn>1751-8636</eissn><abstract>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.</abstract><pub>The Institution of Engineering and Technology</pub><doi>10.1049/iet-com.2014.0505</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Band spectra Channels Computational efficiency Detection digital TV channel frequency band estimation frequency band scarcity Frequency bands frequency estimation ICA Independent component analysis radio spectrum management Reuse signal detection spectrum detection method spectrum reuse Television television channel spectrum sensing television transmitters transmitter absence TV band spectrum unused channel detection video signals |
title | Television channel spectrum sensing using independent component analysis |
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