A new predictive filter for nonlinear alignment model of stationary MEMS inertial sensors

This paper proposes a new approach called the Predictive Kalman Filter (PKF) which predicts and compensates model errors of inertial sensors to improve the accuracy of static alignment without the use of external assistance. The uncertain model error is the main problem in the field as the Micro Ele...

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Bibliographic Details
Main Authors: Hassan Majed Alhassan, Nemat Allah Ghahremani
Format: Article
Language:English
Published: Polish Academy of Sciences 2021-12-01
Series:Metrology and Measurement Systems
Subjects:
Online Access:https://journals.pan.pl/Content/121800/PDF/art05_final.pdf