Adaptive Kalman filter for MEMS IMU data fusion using enhanced covariance scaling

DOI10.1007/s11768-021-00058-8zbMath1490.93120OpenAlexW3194902238MaRDI QIDQ2138910

Alhassan Mumuni, Fuseini Mumuni

Publication date: 17 May 2022

Published in: Control Theory and Technology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11768-021-00058-8

zbMATH Keywords

attitude estimationadaptive Kalman filtermorecovariance scalingIMU state-space modelrole and pitch estimation

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Stochastic learning and adaptive control (93E35)

Related Items (1)

Enhancing train position perception through AI-driven multi-source information fusion

Cites Work

• Adaptive Kalman filtering for INS/GPS
• Adaptive fading Kalman filter with an application
• A Novel Adaptive Kalman Filter With Inaccurate Process and Measurement Noise Covariance Matrices
• Distributed adaptive Kalman filter based on variational Bayesian technique
• Least-Squares Covariance Matrix Adjustment
• Approaches to adaptive filtering

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