Navigation and positioning with low Earth orbit (LEO) satellites has become a popular topic in recent years. In contrast to traditional global navigation satellite system (GNSS), LEO satellite positioning suffers significantly smaller power attenuation. Furthermore, the concept of the signal of opportu-nity (SoOp) provides an opportunity to realize positioning with the existing dense LEO communication constellations. However, similar to GNSS, LEO satellite positioning can still be affected by varying environmental conditions and satellite geometry, resulting in unstable positioning performance. To enhance the positioning accuracy and stability, we design a federated Kalman filter (FKF)-based data fusion method that employs confidence levels in the integration of LEO satellite positioning and GNSS. Simulation results demonstrate that the proposed fusion method can attain 25% higher average accuracy compared to the GNSS-only case.
Federated Kalman Filter-Based Fusion of LEO and GNSS Positioning
2024-06-24
421223 byte
Conference paper
Electronic Resource
English
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