Grant: Discovery Grants Program - Individual
École de technologie supérieure
$39,000.00
Universal Software-Defined Avionic Receiver (SDAR) for Robust and Resilient Positioning, Navigation and Timing (PNT)
EF 2024-25
Résumé
The main objective of this research program is to investigate fusion architecture and new methods for developing a universal Software-Defined Avionic Receiver (SDAR) with robust and resilient positioning, navigation, and timing (PNT) performance, especially in Global Navigation Satellite System (GNSS)-challenged environments and in different airspace classification. The universal receiver will use specific Signals of Opportunity (SoOP) to cover the modernized avionics standard and the future programs related to aircraft and unmanned systems avionics development, which is a new and challenging problem. Selected SoOP will be obtained from not only mature infrastructure such as actual avionics (DME, TMS, ADS-B), television, or cellular network, but also from promising aeronautical pseudolites and other communication systems such as Iridium Next. To enable such new capabilities, the first initiative will focus on proposing a novel architecture for acquiring and tracking both GNSS and selected SoOP signals with new associated metrics. These signals will be treated in a concise, synchronized and standardized avionics framework. The second axis is on advanced digital signal processing algorithms and data fusion methods to extract useful information from SoOP to maintain precise PNT in diverse conditions. Based on SoOP identification and classification algorithms from multi-band sources, novel learning methods and models will be investigated in order to integrate these signals into global avionics software architecture with extended use in different applications such as local based services. As a validation process of the proposed SDAR, the architecture/algorithms will be studied, developed, implemented, and analyzed first in simulation using real recorded RF signals from the proof-of-concept laboratory receiver. Moreover, the research work and outcomes will be tested and validated in a real environment using the developed real-time prototype. The developed universal SDAR investigated by this research will strongly improve the current GNSS receivers and increase their capabilities, while keeping low size, weight, power, and cost (SWaP-C), which results in an effective, optimal, economical and more secure solution. This program will contribute substantially to the science of GNSS and avionic/navigation receiver design, Integrity Monitoring for Safety-of-Life applications and will directly be profitable in numerous fields, such as general aviation, location-based applications and indoor localization. Unmanned systems such as Vertical Take-Off and Landing (VTOL) vehicles in urban environment will also strongly benefit from the research program outcome. This research is intended to be applicable in future avionic systems, especially with the new generation of Integrated Modular Avionics (IMA). This approach will not only ensure compatibility, but also shall improve safety and secured Communication, Navigation and Surveillance (CNS) systems.
Programme
Discovery Grants Program - Individual
Bénéficiaire
Emplacement
Quebec, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
RGPIN-2019-06835
Name nom
Landry, René Jr
Department département
Department of electrical engineering
Organization id
53
Institution établissement
École de technologie supérieure
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2019
Award amount
39000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
1510
Committee name en
Electrical and Computer Engineering
Committee name fr
Génie électrique et informatique
Area of application code
703
Area of application group en
Transportation systems and services
Area of application group fr
Services et systèmes de transport
Area of application en
Aerospace
Area of application fr
Aérospatial
Research subject code
2500
Research subject group en
Electrical and electronic engineering
Research subject group fr
Génie électrique et électronique
Research subject en
Electrical and electronic engineering
Research subject fr
Génie électrique et électronique
Field of research list names en
Not available
Field of research list names fr
Non disponible
Socioeconomic objective list names en
Not available
Socioeconomic objective list names fr
Non disponible
Application title
Universal Software-Defined Avionic Receiver (SDAR) for Robust and Resilient Positioning, Navigation and Timing (PNT)
Keywords
global navigation satellite system (gnss); resilient and robust navigation; signal of opportunity (soop); positioning, navigation, timing (pnt); modern avionic; software defined radio (sdr); digital signal processing (dsp); data fusion and algorithms; artificial intelligence (ai); satellite based augmentation system (sbas)
Application summary
The main objective of this research program is to investigate fusion architecture and new methods for developing a universal Software-Defined Avionic Receiver (SDAR) with robust and resilient positioning, navigation, and timing (PNT) performance, especially in Global Navigation Satellite System (GNSS)-challenged environments and in different airspace classification. The universal receiver will use specific Signals of Opportunity (SoOP) to cover the modernized avionics standard and the future programs related to aircraft and unmanned systems avionics development, which is a new and challenging problem. Selected SoOP will be obtained from not only mature infrastructure such as actual avionics (DME, TMS, ADS-B), television, or cellular network, but also from promising aeronautical pseudolites and other communication systems such as Iridium Next. To enable such new capabilities, the first initiative will focus on proposing a novel architecture for acquiring and tracking both GNSS and selected SoOP signals with new associated metrics. These signals will be treated in a concise, synchronized and standardized avionics framework. The second axis is on advanced digital signal processing algorithms and data fusion methods to extract useful information from SoOP to maintain precise PNT in diverse conditions. Based on SoOP identification and classification algorithms from multi-band sources, novel learning methods and models will be investigated in order to integrate these signals into global avionics software architecture with extended use in different applications such as local based services. As a validation process of the proposed SDAR, the architecture/algorithms will be studied, developed, implemented, and analyzed first in simulation using real recorded RF signals from the proof-of-concept laboratory receiver. Moreover, the research work and outcomes will be tested and validated in a real environment using the developed real-time prototype. The developed universal SDAR investigated by this research will strongly improve the current GNSS receivers and increase their capabilities, while keeping low size, weight, power, and cost (SWaP-C), which results in an effective, optimal, economical and more secure solution. This program will contribute substantially to the science of GNSS and avionic/navigation receiver design, Integrity Monitoring for Safety-of-Life applications and will directly be profitable in numerous fields, such as general aviation, location-based applications and indoor localization. Unmanned systems such as Vertical Take-Off and Landing (VTOL) vehicles in urban environment will also strongly benefit from the research program outcome. This research is intended to be applicable in future avionic systems, especially with the new generation of Integrated Modular Avionics (IMA). This approach will not only ensure compatibility, but also shall improve safety and secured Communication, Navigation and Surveillance (CNS) systems.