Project overview

• This thesis examines the development and optimization of a high-precision outdoor positioning system based on the Global Navigation Satellite System (GNSS), enhanced with Real-Time Kinematic (RTK) corrections.
• Enhancements to an existing architecture will include Inertial Measurement Unit (IMU) integration and algorithmic optimizations, aiming to improve positioning accuracy, system responsiveness, and overall performance, targeting an embedded platform.

Required skills & technologies

• Embedded-C programming and development for microcontrollers (experience with STM32 is required).
• Signal Processing techniques for GNSS/IMU data fusion and RTK corrections.

Main tasks & deliverables

• Integrate IMU sensors into the existing GNSS/RTK architecture and implement sensor fusion algorithms to improve robustness and short-term positioning accuracy.
• Optimize algorithms for real-time performance on an embedded STM32 platform, including profiling, memory/CPU optimization, and meeting deterministic timing constraints.
• Validate and evaluate system performance outdoors: measure positioning accuracy, convergence time, and responsiveness under realistic conditions; produce quantitative results and a final thesis report.

Logistics & application

• Location: Sfax. Duration: 6 months (remunerated).
• To apply, send your CV and a short motivation letter to career@habemus.com with subject line: "Application: 2 Evaluation of GNSS for outdoor positioning solutionS PFE".
• Contact email (plain): career@habemus.com