Multi-Vehicle/Infrastructure Jammer/Spoofer Detection and Localization

This project will follow three paths in parallel, all focused on developing vehicle strategies that provide improved knowledge of and resilience to positioning uncertainty, in particular, of the potential risk of spoofing. The first path is focused on developing resilient connected and automated vehicle (CAV) applications given uncertain PNT services; the second is developing resilience techniques through a multi-agent community approach; and the third is to conduct research on collaborative radio-frequency interference (RFI) localization. (1) The main focus of the first research path is to develop CAV applications that are “aware” of their positioning uncertainty and the potential risk of spoofing, and adapt to make them more robust in terms of safety, mobility, and environmental factors. This will consist of several tasks, including: (a) searching CAV application literature to identify any applications that are adaptable in terms of positioning and spoofing uncertainty; (b) identifying a variety of CAV fundamental maneuvers that can be targeted for position uncertainty adaptive algorithms; (c) designing these adaptive algorithms for a subset of fundamental maneuvers (e.g. vehicle merging), followed by comprehensive testing both in simulation and in the real world; and (d) developing the means for estimating and communicating position uncertainty and the risk of undetected spoofed PNT services. (2) The main focus of the second research path is to develop resiliency techniques using a multi-agent community approach where a diversity of connected vehicles and infrastructure are operating in close proximity. Within this community, the impacts of jamming could be mitigated by community alerts by directing vehicles to switch to non-GNSS PNT or to avoid a particular area. During spoofing, the spoofed GNSS signals would have had to be generated based on only one vehicle’s predicted trajectory; however, they would be received by all vehicles within a given neighborhood of the broadcaster. All other vehicles within the reception volume would be receiving inconsistent GNSS signals, which would enable community detection of spoofing. This research will quantify the performance of this detection approach. The research team will analyze a number of scenarios and the impact of transportation threats. (3) In the third research path, the research team will demonstrate the ability of multiple connected vehicle receivers to detect and localize a common RFI source. The research team will determine the circumstances under which such a collaborative RFI detection and localization scheme are possible. For example, if two receivers are within reach of an RFI source, using time-differenced measurements over larger than 100-meter separation distances can enable time-of-arrival localization. Phase differences can be more challenging to achieve but reduce the baseline requirement to meter level. The research team will quantify the resulting localization performance in example use-cases

• Record URL:
  https://www.iitcarnations.org/research

Language

• English

Project

• Status: Active
• Funding: $Federal $230,000, Cost-share $115,100
• Contract Numbers:

  Illinois Institute of Technology/69A3552348324

• Sponsor Organizations:

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Managing Organizations:

  Center for Assured and Resilient Navigation in Advanced Transportation Systems

  Illinois Institute of Technology
  Chicago, IL  United States  60616
• Project Managers:

  Narang, Aashish

• Performing Organizations:

  Center for Assured and Resilient Navigation in Advanced Transportation Systems

  Illinois Institute of Technology
  Chicago, IL  United States  60616
• Principal Investigators:

  Farrell, Jay

  Joerger, Mathieu

  Barth, Matthew

• Start Date: 20231001
• Expected Completion Date: 20240930
• Actual Completion Date: 0
• USDOT Program: University Transportation Centers Program
• Subprogram: University Transportation Centers

Subject/Index Terms

• TRT Terms: Autonomous vehicles; Computer security; Connected vehicles; Global Positioning System; Mobile communication systems; Navigation; Radio frequency interference; Satellite navigation systems
• Subject Areas: Data and Information Technology; Highways; Security and Emergencies; Vehicles and Equipment;

Filing Info

• Accession Number: 01906661
• Record Type: Research project
• Source Agency: Center for Assured and Resilient Navigation in Advanced Transportation Systems
• Contract Numbers: Illinois Institute of Technology/69A3552348324
• Files: UTC, RIP
• Created Date: Jan 31 2024 3:39PM