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Élément Dublin Core | Valeur | Langue |
---|---|---|
dc.contributor.author | Berkane, Yassamina | - |
dc.contributor.author | Khellouf, Hinda | - |
dc.contributor.other | Adel Belouchrani, Directeur de thèse | - |
dc.contributor.other | Soufiane Tebache, Directeur de thèse | - |
dc.date.accessioned | 2020-12-21T20:54:06Z | - |
dc.date.available | 2020-12-21T20:54:06Z | - |
dc.date.issued | 2018 | - |
dc.identifier.other | P000280 | - |
dc.identifier.uri | http://repository.enp.edu.dz/xmlui/handle/123456789/1780 | - |
dc.description | Mémoire de Projet de Fin d’Étude : Électronique : Alger, École Nationale Polytechnique : 2018 | fr_FR |
dc.description.abstract | The aim of this project is to present an experimental verification in real en-vironment of algorithms to estimate direction of arrival (DOA) of an incident RF (Radio Frequency) source. To do so, we present two di˙erent approaches, The first is multiple signal classification (MUSIC) and the second is a conventionnel estimation of signal angle direction (Bartlett) , both approaches are implemented on a National Instruments (NI) USRP platforms, and the algorithms are setup in LabView NI software. | fr_FR |
dc.language.iso | fr | fr_FR |
dc.subject | Direction of arrival | fr_FR |
dc.subject | Estimation | fr_FR |
dc.subject | (Radio Frequency) | fr_FR |
dc.subject | MUSIC | fr_FR |
dc.subject | Bartlett | fr_FR |
dc.subject | USRP | fr_FR |
dc.subject | LabView | fr_FR |
dc.title | Implementation of source localization algorithms and application in real environment with LabVIEW software and NI USRP platforms | fr_FR |
dc.type | Thesis | fr_FR |
Collection(s) : | Département Electronique |
Fichier(s) constituant ce document :
Fichier | Description | Taille | Format | |
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BERKANE.Yassamina_KHELLOUF.Hinda.pdf | PN00418 | 7.07 MB | Adobe PDF | Voir/Ouvrir |
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