Master Thesis: IMU Drift Compensation
Teknik, data och digitalt · Mjukvaru- och webbutveckling · Mjukvaruutveckling · Inbyggda system
I korthet
This Master Thesis project in Lund, Sweden, will investigate radar-assisted IMU motion tracking to reduce drift and improve accuracy for 6G research. The work involves sensor fusion techniques and experimental implementation in collaboration with Ericsson researchers.
Ansvarsområden
- Conduct a literature study on IMU drift compensation, radar odometry, and sensor fusion.
- Develop a baseline IMU-based motion-estimation chain and characterize sensor errors.
- Investigate radar measurements for continuous drift correction.
- Define and implement methods for synchronizing, calibrating, and aligning radar and IMU measurements.
- Implement a suitable sensor-fusion approach (e.g., Kalman-filter-based or optimization-based).
- Analyze and evaluate the performance of the radar-assisted solution.
- Demonstrate the developed approach in a hardware-based proof-of-concept.
Krav
- Final year master's student in Electrical Engineering, Engineering Physics, or similar with a background in electromagnetics.
- Genuine interest in radar sensing, inertial navigation, wireless communication, and hardware implementation.
- Experience in simulation tools such as C/C++, MATLAB, and Python.
- Fluent in English (verbal and written communication).
Önskade kvalifikationer
- Experience with C/C++ is an advantage.
- Knowledge of probability, linear algebra, coordinate transformations, optimization, or Kalman filtering is beneficial.
- Eagerness to learn, ambition, an innovative mindset, and the ability to collaborate effectively.
Förmåner
- Outstanding opportunity to use skills and imagination.
- Work on challenging problems.
- Join a team of diverse innovators.
- Opportunity to craft what comes next.
#6G#radar sensing#inertial navigation#signal processing#motion tracking#sensor fusion#Kalman filter