Grant: Discovery Grants Program - Individual
York University
$50,000.00
Resilient satellite-based precise positioning and navigation
EF 2024-25
Résumé
Global Navigation Satellite Systems (GNSS), the first and most famous of which is the Global Positioning System (GPS), have become indispensable infrastructure in modern life. This reliance is growing, demanding GNSS-enable technology performance improvements. GNSS operation involves terrestrial antennas and receivers processing very weak signals transmitted from distant satellites. Standard measurement processing results in metre-level positioning accuracy, so-long as adequate sky view is maintained. Processing in, i.e., Real-Time Kinematic (RTK) or Precise Point Positioning (PPP) mode results in dm- to cm-level positioning accuracy.
The primary objective of the proposed Discovery Grant research is the logical extension of the on-going research program to greatly enhance the resilience of such satellite-based solutions now that they are possible. Generally, resilience is the capacity to withstand or to recover quickly from difficulties. For GNSS, this means managing intentional or unintentional signal blockages that produce greater position error, position bias or denial of service.
The multi-pronged approach proposed to address this problem is based on an extension, expansion and enhancement of the applicant's on-going research program. The proposed research tasks are #1 Determination and mitigation of physical effects which cause the remaining positioning outliers in high-performance GNSS PPP. #2 Determination of an automatic, adaptive, optimal measurement selection and weighting scheme for noisy GNSS measurements from mass-market equipment. #3 Expansion of sensor fusion models from GNSS + PPP with other navigation sensors. #4 Application of artificial intelligence (primarily machine learning and deep learning) to improve GNSS and other sensor measurement processing and sensor fusion over contemporary filtering approaches. #5 Application of new signal interference mitigating antennas and receivers to improve precise positioning resilience. #6 Application of new low Earth orbiter-based satellite navigation signals to improve GNSS PPP positioning availability and solution re-initialization in signal obstructed urban areas and during signal interference.
Key research novelty and expective significant can be categorized as follows. a) Reduced infrastructure costs - both in regional reference / calibration stations and user equipment. b) Improved positioning precision, accuracy, availability and integrity in partially sky-obstructed environments, which, in turn, will improve existing GNSS-based positioning and navigation solutions. c) Increased GNSS-based viability in more safe-of-life applications, where positioning SIL (safety integrity level) must be defined and maintained. d) Enhanced specific application areas: lower cost science; lower cost and higher precision engineering; higher precision driverless vehicles; precise position-enabled smartphone apps; and safer terrestrial and airborne (autonomous) drones.
Programme
Discovery Grants Program - Individual
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
RGPIN-2024-06172
Name nom
Bisnath, Sunil
Department département
Earth and Space Science and Engineering
Organization id
38
Institution établissement
York University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2024
Award amount
50000
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
1509
Committee name en
Civil, Industrial and Systems Engineering
Committee name fr
Génie civil, industriel et des systèmes
Area of application code
700
Area of application group en
Transportation systems and services
Area of application group fr
Services et systèmes de transport
Area of application en
Transportation systems and services
Area of application fr
Services et systèmes de transport
Research subject code
1004
Research subject group en
Civil engineering
Research subject group fr
Génie civil
Research subject en
Survey engineering and remote sensing
Research subject fr
Génie de l'arpentage et télédétection
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
Resilient satellite-based precise positioning and navigation
Keywords
global positioning system (gps); global navigation satellite systems (gnss); satellite navigation; positioning; navigation; optimal estimation; sensor fusion; inertial measurement unit (imu); timing; machine learning
Application summary
Global Navigation Satellite Systems (GNSS), the first and most famous of which is the Global Positioning System (GPS), have become indispensable infrastructure in modern life. This reliance is growing, demanding GNSS-enable technology performance improvements. GNSS operation involves terrestrial antennas and receivers processing very weak signals transmitted from distant satellites. Standard measurement processing results in metre-level positioning accuracy, so-long as adequate sky view is maintained. Processing in, i.e., Real-Time Kinematic (RTK) or Precise Point Positioning (PPP) mode results in dm- to cm-level positioning accuracy.
The primary objective of the proposed Discovery Grant research is the logical extension of the on-going research program to greatly enhance the resilience of such satellite-based solutions now that they are possible. Generally, resilience is the capacity to withstand or to recover quickly from difficulties. For GNSS, this means managing intentional or unintentional signal blockages that produce greater position error, position bias or denial of service.
The multi-pronged approach proposed to address this problem is based on an extension, expansion and enhancement of the applicant's on-going research program. The proposed research tasks are #1 Determination and mitigation of physical effects which cause the remaining positioning outliers in high-performance GNSS PPP. #2 Determination of an automatic, adaptive, optimal measurement selection and weighting scheme for noisy GNSS measurements from mass-market equipment. #3 Expansion of sensor fusion models from GNSS + PPP with other navigation sensors. #4 Application of artificial intelligence (primarily machine learning and deep learning) to improve GNSS and other sensor measurement processing and sensor fusion over contemporary filtering approaches. #5 Application of new signal interference mitigating antennas and receivers to improve precise positioning resilience. #6 Application of new low Earth orbiter-based satellite navigation signals to improve GNSS PPP positioning availability and solution re-initialization in signal obstructed urban areas and during signal interference.
Key research novelty and expective significant can be categorized as follows. a) Reduced infrastructure costs - both in regional reference / calibration stations and user equipment. b) Improved positioning precision, accuracy, availability and integrity in partially sky-obstructed environments, which, in turn, will improve existing GNSS-based positioning and navigation solutions. c) Increased GNSS-based viability in more safe-of-life applications, where positioning SIL (safety integrity level) must be defined and maintained. d) Enhanced specific application areas: lower cost science; lower cost and higher precision engineering; higher precision driverless vehicles; precise position-enabled smartphone apps; and safer terrestrial and airborne (autonomous) drones.