Grant: Department of National Defence / NSERC Research Partnership
Carleton University
$123,000.00
Advanced Signal Processing for Future Mission Systems
EF 2020-21
Résumé
The objective of this proposal is to develop innovative and advanced signal processing algorithms for future mission systems that are capable of better exploiting the novel capabilities and flexibilities provided by next-generation sensors. Specifically, this proposal will focus on three main components with a view towards future mission systems: a) Development of advanced sensor signal processing for next-generation active and passive surveillance sensors including airborne electronically scanned array radars (AESA), cognitive electronic warfare sensors, electro-optical/infrared imaging sensors; b) Data exploitation for fusion of imaging and non-imaging sensors; c) Development of robust machine learning algorithms that is resilient to adversarial attacks and interferences. This project will be executed using bona fide data sources that will guide the development of the algorithms capable of accommodating constraints in implementing mission systems. The innovative approaches developed over the course of this proposal will be implemented and tested on real systems in close collaboration with the industry partner, General Dynamics Mission Systems - Canada (GDMS-C) alongside expertise provided by scientists at Defence R and D Canada (DRDC). GDMS-C is seeking the development of an indigenous leading-edge technological solutions for their future mission systems through collaborative research. This proposal will train 19 highly qualified personnel: 2 Post doctoral fellows, 2 PhD, 6 MASc, and 9 undergraduate students. These HQP will be equipped with knowledge and unique transferable skills that are in high demand in industry and national government laboratories across Canada. This project will help GDMS-C in developing future land-based and airborne mission systems and DRDC will use the technologies to guide the incorporation of such systems for enhancing national security that will be based on state-of-the-art technologies developed over the course of the next three years.
Programme
Department of National Defence / NSERC Research Partnership
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
544375-2019
Name nom
Rajan, Sreeraman
Department département
Systems and Computer Engineering
Organization id
23
Institution établissement
Carleton University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2020
Competition year année de concours
2019
Award amount
123000
Program id
DNDPJ
Program name en
Department of National Defence / NSERC Research Partnership
Program name fr
Partenariat de recherche du ministère de la Défense nationale et du CRSNG
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
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
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
Installment
inst:2 - 2
Partie
1
Nb partie
2
Application title
Advanced Signal Processing for Future Mission Systems
Keyword
NSERC
Application summary
The objective of this proposal is to develop innovative and advanced signal processing algorithms for future mission systems that are capable of better exploiting the novel capabilities and flexibilities provided by next-generation sensors. Specifically, this proposal will focus on three main components with a view towards future mission systems: a) Development of advanced sensor signal processing for next-generation active and passive surveillance sensors including airborne electronically scanned array radars (AESA), cognitive electronic warfare sensors, electro-optical/infrared imaging sensors; b) Data exploitation for fusion of imaging and non-imaging sensors; c) Development of robust machine learning algorithms that is resilient to adversarial attacks and interferences. This project will be executed using bona fide data sources that will guide the development of the algorithms capable of accommodating constraints in implementing mission systems. The innovative approaches developed over the course of this proposal will be implemented and tested on real systems in close collaboration with the industry partner, General Dynamics Mission Systems - Canada (GDMS-C) alongside expertise provided by scientists at Defence R and D Canada (DRDC). GDMS-C is seeking the development of an indigenous leading-edge technological solutions for their future mission systems through collaborative research. This proposal will train 19 highly qualified personnel: 2 Post doctoral fellows, 2 PhD, 6 MASc, and 9 undergraduate students. These HQP will be equipped with knowledge and unique transferable skills that are in high demand in industry and national government laboratories across Canada. This project will help GDMS-C in developing future land-based and airborne mission systems and DRDC will use the technologies to guide the incorporation of such systems for enhancing national security that will be based on state-of-the-art technologies developed over the course of the next three years.
