Stochastic Modeling of Inertial Sensors

In course

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Description

This lecture covers the historical background of sensor calibration, focusing on the Generalized Method of Wavelet Moments (GMWM) for stochastic modeling of inertial sensors. The presentation delves into the calibration process, including the calculation of empirical wavelets, modeling techniques, and the application of GMWM in sensor calibration. The lecture emphasizes the importance of precise knowledge of sensor stochastic structures for optimal fusion with other devices, such as GPS. Various calibration examples and the computational efficiency of the GMWM algorithm are discussed in detail.

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