Recurrent-neural-network-based unscented Kalman filter for estimating and compensating the random drift of MEMS gyroscopes in real time

Title
Recurrent-neural-network-based unscented Kalman filter for estimating and compensating the random drift of MEMS gyroscopes in real time
Authors
Keywords
MEMS gyroscope, Random drift, Nonlinear autoregressive moving average model, Recurrent neural network, Unscented Kalman filter
Journal
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
Volume 147, Issue -, Pages 107057
Publisher
Elsevier BV
Online
2020-07-03
DOI
10.1016/j.ymssp.2020.107057

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