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FEATURE SELECTION FOR CYCLOSTATIONARY-BASED SIGNAL CLASSIFICATION
| dc.contributor.advisor | Bose, Tamal | en |
| dc.contributor.author | Vanhoy, Garrett | |
| dc.contributor.author | Teku, Noel | |
| dc.date.accessioned | 2018-03-02T22:25:42Z | |
| dc.date.available | 2018-03-02T22:25:42Z | |
| dc.date.issued | 2017-10 | |
| dc.identifier.issn | 0884-5123 | |
| dc.identifier.issn | 0074-9079 | |
| dc.identifier.uri | http://hdl.handle.net/10150/626974 | |
| dc.description.abstract | Cognitive radio (CR) is a concept that imagines a radio (wireless transceiver) that contains an embedded intelligent agent that can adapt to its spectral environment. Using a software defined radio (SDR), a radio can detect the presence of other users in the spectrum and adapt accordingly, but it is important in many applications to discern between individual transmitters and this can be done using signal classification. The use of cyclostationary features have been shown to be robust to many common channel conditions. One such cyclostationary feature, the spectral correlation density(SCD),hasseenlimiteduseinsignalclassificationuntilnowbecauseitisacomputationally intensive process. This work demonstrates how feature selection techniques can be used to enable real-time classification. The proposed technique is validated using 8 common modulation formats that are generated and collected over the air. | |
| dc.description.sponsorship | International Foundation for Telemetering | en |
| dc.language.iso | en_US | en |
| dc.publisher | International Foundation for Telemetering | en |
| dc.relation.url | http://www.telemetry.org/ | en |
| dc.rights | Copyright © held by the author; distribution rights International Foundation for Telemetering | en |
| dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | |
| dc.title | FEATURE SELECTION FOR CYCLOSTATIONARY-BASED SIGNAL CLASSIFICATION | en_US |
| dc.type | text | en |
| dc.type | Proceedings | en |
| dc.contributor.department | University of Arizona | en |
| dc.identifier.journal | International Telemetering Conference Proceedings | en |
| dc.description.collectioninformation | Proceedings from the International Telemetering Conference are made available by the International Foundation for Telemetering and the University of Arizona Libraries. Visit http://www.telemetry.org/index.php/contact-us if you have questions about items in this collection. | |
| refterms.dateFOA | 2018-06-18T23:45:23Z | |
| html.description.abstract | Cognitive radio (CR) is a concept that imagines a radio (wireless transceiver) that contains an embedded intelligent agent that can adapt to its spectral environment. Using a software defined radio (SDR), a radio can detect the presence of other users in the spectrum and adapt accordingly, but it is important in many applications to discern between individual transmitters and this can be done using signal classification. The use of cyclostationary features have been shown to be robust to many common channel conditions. One such cyclostationary feature, the spectral correlation density(SCD),hasseenlimiteduseinsignalclassificationuntilnowbecauseitisacomputationally intensive process. This work demonstrates how feature selection techniques can be used to enable real-time classification. The proposed technique is validated using 8 common modulation formats that are generated and collected over the air. |
