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Grant: Engage Plus Grants Program

Memorial University of Newfoundland

$10,000.00

Cellular Network Identification and Parameter Extraction Techniques

EF 2016-17

Résumé
Automatic signal identification is an important function of intelligent radios used in various militaryapplications, such as radio surveillance and jamming. It has the potential of improving the efficiency ofjammers, which employ the same type of signal as the target one instead of a noise-like signal. This requiresthe jammer additionally include sensing capabilities to identify the type of the target signal and adapt thegenerated jamming signal accordingly. Moreover, in order to defeat cellular network threats, it is important forthe jammer to have the capability to identify standard signals employed in cellular networks. To this end, theproposed project aims to contribute to the identification of such standard signals and their parameters, such asLTE uplink with short cyclic prefix and identification of the antenna configuration.The developed signal identification algorithms will be incorporated in the Allen Vanguard's software definedradio platforms to extend their capabilities. By incorporating such algorithms within its platforms, thisCanadian-based high-tech company can increase its influence on the market.
Programme
Engage Plus Grants Program
Emplacement
Newfoundland and Labrador, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
500073-2016
Name nom
Dobre, Octavia
Department département
Engineering and Applied Science, Faculty of
Organization id
89
Institution établissement
Memorial University of Newfoundland
Province en
Newfoundland and Labrador
Province fr
Terre-Neuve-et-Labrador
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2016
Competition year année de concours
2016
Award amount
10000
Program id
EGP2
Program name en
Engage Plus Grants Program
Program name fr
Programme de subvention d'engagement partenarial Plus
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
1551
Committee name en
Atlantic Internal Decision Committee
Committee name fr
Comité de décision interne pour l'Atlantique
Area of application code
805
Area of application group en
Information and communication services
Area of application group fr
Services d'information et de télécommunications
Area of application en
Communications technologies (satellites, radar, etc.)
Area of application fr
Technologie des télécommunications (satellites, radar,etc.)
Research subject code
2513
Research subject group en
Electrical and electronic engineering
Research subject group fr
Génie électrique et électronique
Research subject en
Data communications
Research subject fr
Transmission des données
Partie
1
Nb partie
1
Application title
Cellular Network Identification and Parameter Extraction Techniques
Keyword
NSERC
Application summary
Automatic signal identification is an important function of intelligent radios used in various militaryapplications, such as radio surveillance and jamming. It has the potential of improving the efficiency ofjammers, which employ the same type of signal as the target one instead of a noise-like signal. This requiresthe jammer additionally include sensing capabilities to identify the type of the target signal and adapt thegenerated jamming signal accordingly. Moreover, in order to defeat cellular network threats, it is important forthe jammer to have the capability to identify standard signals employed in cellular networks. To this end, theproposed project aims to contribute to the identification of such standard signals and their parameters, such asLTE uplink with short cyclic prefix and identification of the antenna configuration.The developed signal identification algorithms will be incorporated in the Allen Vanguard's software definedradio platforms to extend their capabilities. By incorporating such algorithms within its platforms, thisCanadian-based high-tech company can increase its influence on the market.