Canada Spends Logo

Explorez notre analyse du budget 2026

Grant: Collaborative Research and Development Grants

Memorial University of Newfoundland

$35,657.00

Signal identification in congested RF spectrum

EF 2017-18

Résumé
In recent years, there has been an increasing demand for the usage of intelligent radios with various military and commercial applications, such as radio surveillance and jamming. For an efficient jamming, instead of using a noise-like signal, the same type of signal as the target one should be used. This would be possible if the jammer has the capability to detect the presence of existing signals in the air and identify the type of the target signals, such that it adapts the generated jamming signals accordingly. Furthermore, the congested wideband RF spectrum can contain signals from multiple cellular networks, and it becomes important for the jammer to be able to identify standard cellular signals in order to defeat any cellular network threats. To this end, the proposed project aims to contribute to developing algorithms for sensing and identification of existing cellular standard signals in congested wideband RF spectrum. The devised solutions will be verified by using real captured data, which will be provided by the industry partner, Allen Vanguard.The developed algorithms will be incorporated in the Allen Vanguard's software-definedradio platforms to extend their capabilities beyond their current jamming functionalities. By incorporating such algorithms within its platforms, this Canadian-based high-tech company can increase its influence on the market.
Programme
Collaborative Research and Development Grants
Emplacement
Newfoundland and Labrador, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
505652-2016
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
2017
Competition year année de concours
2016
Award amount
35657
Program id
CRDPJ
Program name en
Collaborative Research and Development Grants
Program name fr
Subventions de recherche et développement coopérative
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
1207
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Information, computer and communication technologies
Area of application fr
Technologie de l'information, des ordinateurs et des réseaux de communications
Research subject code
2514
Research subject group en
Electrical and electronic engineering
Research subject group fr
Génie électrique et électronique
Research subject en
Digital signal processing
Research subject fr
Traitement des signaux numériques
Partie
1
Nb partie
2
Application title
Signal identification in congested RF spectrum
Keyword
NSERC
Application summary
In recent years, there has been an increasing demand for the usage of intelligent radios with various military and commercial applications, such as radio surveillance and jamming. For an efficient jamming, instead of using a noise-like signal, the same type of signal as the target one should be used. This would be possible if the jammer has the capability to detect the presence of existing signals in the air and identify the type of the target signals, such that it adapts the generated jamming signals accordingly. Furthermore, the congested wideband RF spectrum can contain signals from multiple cellular networks, and it becomes important for the jammer to be able to identify standard cellular signals in order to defeat any cellular network threats. To this end, the proposed project aims to contribute to developing algorithms for sensing and identification of existing cellular standard signals in congested wideband RF spectrum. The devised solutions will be verified by using real captured data, which will be provided by the industry partner, Allen Vanguard.The developed algorithms will be incorporated in the Allen Vanguard's software-definedradio platforms to extend their capabilities beyond their current jamming functionalities. By incorporating such algorithms within its platforms, this Canadian-based high-tech company can increase its influence on the market.