
Engineering Research Toolkit
Welcome to the Engineering Research Toolkit, your go-to resource for innovative projects and collaboration opportunities. Explore a wide range of projects aimed at advancing research solutions across various fields.
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Mentors: If you have a new project that could benefit students, please submit it using the mentor’s form.
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Students: If any project interests you, please fill out the student form to get involved.
Active Projects
High-Fidelity Modeling of GPS Errors for Kalman Filters
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.
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Mentor: Birendra Kujur​
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Skills Required: Digital signal processing, GNSS fundamentals and error models, MATLAB ​
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Institution: Illinois Institute of Technology
Automated Multi-Vehicle Testing Platform Design, Instrumentation, and Testing
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.
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Mentor: Mathieu Joerger
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Skills Required: Matlab and Python is required. Knowledge of statistics and estimation theory can help.​
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Institution: Virginia Tech
TBA
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UWB Sensor Evaluation for Collaborative Navigation
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.
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Mentor: Mathieu Joerger
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Skills Required: Matlab is required. Knowledge of statistics and estimation theory can help.​
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Institution: Virginia Tech
Performance Analysis of CUSUM-Based Anti-Spoofing Algorithms
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.
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Mentor: Steve Langel
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Skills Required: MATLAB, linear algebra, some statistics (hypothesis testing), some exposure to random processes.
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Organization: The MITRE Corporation
TBA
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