Defending Against GNSS Jamming and Spoofing by Multi-Sensor Integration
While GNSS is the primary means to provide absolute position information in transportation systems, radio frequency methods to detect anomalous GNSS signals may not enable their exclusion in all events. The multiple sensors incorporated into advanced vehicles and transportation systems offer unique opportunities to combat nefarious activities such as GNSS jamming and spoofing to maintain PNT accuracy and integrity. This project will involve three research directions related to GNSS multi-sensor augmentation. (1) INS Augmentation. Spoofing relies on accurate prediction of a victim GNSS antenna’s future trajectory to compute and broadcast RF signals to fool the receiver tracking loops on the target vehicle. The vehicle sprung mass, lane curvature, and human driving all add uncertainty around the predicted trajectory, making it difficult to predict GNSS antenna motion. Therefore, the research team questions the ability of a spoofer to predict a target vehicle trajectory with sufficient accuracy to avoid detection. The research team will investigate whether an integrated INS/GNSS with a position-domain innovation sequence detector is sensitive enough to detect the onset of spoofing by monitoring the accumulated time history of normalized KF innovations. (2) Virtual Augmentation for Ground Vehicles. Unlike aircraft, ground vehicles are subject to kinematic constraints. For example, their lateral (“cross-track”) motion is subject to nonholonomic constraints (i.e., under no-slip conditions, the rear wheels can only move longitudinally, not laterally). Encoders on the four wheels provide information about wheel velocity and slip. Both the wheel speed information and the kinematic constraints can be incorporated into PNT algorithms. The research team will investigate the utility of such methods for detection of anomalous PNT information (e.g., jamming and spoofing). (3) Multi-sensor Augmentation. Jamming and spoofing only affect the GNSS receiver; therefore, information extracted from additional on-board sensors (e.g., cameras, lidar, radar, ultrasound, IMU, wheel encoders) offer unique opportunities for enhancing PNT resilience. Research will focus on PNT solutions incorporating data from the diversity of sensors to improve both PNT accuracy and detection of anomalous PNT information from all sensors.
- Record URL:
Language
- English
Project
- Status: Active
- Funding: $Federal $286,215, Cost-share $145,000
-
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:
Pervan, Boris
Farrell, Jay
- 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: Antennas; Computer security; Data fusion; Intelligent transportation systems; Navigation; Satellite navigation systems; Sensors
- Subject Areas: Data and Information Technology; Security and Emergencies; Transportation (General);
Filing Info
- Accession Number: 01906658
- 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 3:02PM