Theme: | Localization/Communications/Signal Processing |
Application: | GNSS |
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Intorduction: | Movella/Xsens develops advanced motion tracking solutions that integrate data from accelerometers, gyroscopes, and magnetometers—collectively known as an Inertial Measurement Unit (IMU)—with sophisticated sensor fusion algorithms. These systems enable precise orientation and acceleration tracking. When combined with Global Navigation Satellite Systems (GNSS), such as GPS, Galileo, and GLONASS, they can achieve centimetre-level absolute positioning. Recent advancements in GNSS receiver technology have enabled the use of multi-frequency (triple-band) and multi-antenna configurations, which offer the potential for significantly improved accuracy, not only in position, but also in orientation. The goal of this thesis is to investigate the navigation performance and accuracy limits on positioning/orientation from multi-antenna, multi-band configurations, and to develop sensor fusion models that tightly integrate these signals with IMU data in a Kalman filter framework. |
Description: | The assignment is to design, build and test raw GNSS signals from multiple antennas along multiple frequencies and investigate methodologies to estimate and mitigate effects of interferences. Further, the data should be further fused/augmented with inertial data (accelerometer / gyroscope) to improve the navigation performance. The student is expected to work with Xsens sensors and GNSS receivers as well as simulated / public datasets. |
Requirements: | Background in Electrical Engineering, Radio Systems, Robotics, or a related field. |
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