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dc.contributor.authorTeku, Noel
dc.contributor.authorBose, Tamal
dc.date.accessioned2019-02-13T22:12:40Z
dc.date.available2019-02-13T22:12:40Z
dc.date.issued2018-11
dc.identifier.issn0884-5123
dc.identifier.issn0074-9079
dc.identifier.urihttp://hdl.handle.net/10150/631692
dc.description.abstractIn the High Frequency (HF) band, ranging from 3-30 MHz, long-range communications can be obtained by bouncing signals off the ionosphere without any significant infrastructure. However, the ionosphere changes rapidly, which can cause potentially harmful effects to the transmitted signal. This has motivated research into using adaptive equalization in this band to reverse these effects. However, a disadvantage of this technique is that based on the equalizer model and learning algorithm used, the error propagation may become significantly large, resulting in insufficient equalization to respond to these variations. To counter this, we investigate the usage of cognitive equalization, where an adaptive equalizer is equipped with the ability to change its structure (i.e. number of taps, step size, etc.) based on the current channel conditions and use probability of error to characterize its performance.en_US
dc.description.sponsorshipInternational Foundation for Telemeteringen_US
dc.language.isoen_USen_US
dc.publisherInternational Foundation for Telemeteringen_US
dc.relation.urlhttp://www.telemetry.org/en_US
dc.rightsCopyright © held by the author; distribution rights International Foundation for Telemetering
dc.titleCOGNITIVE EQUALIZATION FOR HF CHANNELSen_US
dc.contributor.departmentUniv Arizona, Dept Elect & Comp Engnen_US
dc.identifier.journalInternational Telemetering Conference Proceedingsen_US
dc.description.collectioninformationProceedings 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.dateFOA2019-02-13T22:12:40Z


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