A Python library for airborne sensors noise characterization and simulation, using Allan variance a sensor models (IMU, GPS, airspeed, baro...)
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Updated
Jul 12, 2024 - Python
A Python library for airborne sensors noise characterization and simulation, using Allan variance a sensor models (IMU, GPS, airspeed, baro...)
Collected roughly 5 hours and 15 minutes worth of stationary IMU data at a location that is not subject to vibrations. Parsed $VNYMR string, to get accel, gyro, orientation (roll, pitch, yaw) and magnetometer data and analyzed the data for Allan variance.
Navigation code in Python
A Monte Carlo simulation in Python to model vacuum-induced frequency drifts in atomic clocks, with code and visuals (experimental setup, simulated vs. real-world comparison, and drift graph), as described in "Probing Vacuum-Induced Clock Drifts via Quantum Metrology: A Testable Hypothesis" (DOI: 10.5281/zenodo.15163879). Licensed under GPL 3.0.
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