Education & Workforce
Development

MITRE has developed a new anti-spoofing algorithm that seeks to leverage the real-world behavior of spoofed measurements. Early indicators are that this approach can out-perform traditional fault detection strategies in GPS-based navigation systems, but a systematic study has not been conducted. Students would be responsible for performing this study at the MATLAB-level for a simplified GPS navigation system. Responsibilities would include setting up and conducting Monte Carlo simulations, analyzing the results in terms of false alarm and missed detection rate, and compiling the findings in a written report. This is an opportunity to learn fundamental concepts in estimation and detection as they apply to the design of robust navigation systems and will allow students to contribute to other research efforts in line with CARNATIONS objectives.

This project turns the vehicle into the sensor, with the design goal of mitigating approximately 500 wrong-way driving fatalities per year in the United States and more than 10,000 impaired-driver fatalities by providing timely, in-vehicle warnings to the vehicle operator. The system employs a Resilient Positioning, Navigation, and Timing (R-PNT)–enabled ADAS architecture that detects hazardous driving behavior without relying on visual sensors, enabling robust operation in GPS-degraded environments and supporting all levels of vehicle autonomy. Students would evaluate system performance through simulation and scenario-based analysis, including representative roadway and impairment cases, assessing warning timeliness, false alarm rates, and missed detection rates, and compiling results in a written technical report, gaining hands-on experience in safety-critical ADAS design and resilient navigation technologies.

This project focuses on both experimental and theoretical aspects of GNSS signal processing and error modeling. Students will apply digital signal processing and GNSS fundamentals using MATLAB, with deliverables including monthly presentations, a final presentation, and a comprehensive report.

This project investigates inter-vehicle ranging for collaborative navigation, focusing on evaluating UWB (ultra-wideband) errors and models. Students will review literature, collect UWB data on static and moving platforms, analyze ranging errors, and explore methods to achieve 3D positioning using UWB technology.

This project involves designing and testing an automated multi-vehicle platform, focusing on developing a control system for a ground vehicle. The control system should be adaptable for implementation on other ground vehicles, allowing for scalability and flexibility in multi-vehicle testing environments.