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