An Inertial Sensor Calibration Platform to Estimate and Select Error Models
time-series
conference
Summary
This paper introduces an open-source R package built around the Generalized Method of Wavelet Moments that provides a general framework for identifying, estimating, and testing stochastic error models for inertial sensors. The platform handles complex composite error signals made up of multiple underlying processes and includes model selection to find the best description of a sensor’s noise behavior.
My contributions
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