A fast continuous self-calibration method for FOG rotational inertial navigation system based on invariant extended Kalman filter

• Published in: IEEE sensors journal Vol. 23; no. 3; p. 1
• Main Authors: Li, Jun, Zhang, Shifeng, Yang, Huabo, Jiang, Zhenyu, Bai, Xibin
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.02.2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Accelerometers; Algorithms; Alignment; Attitudes; Calibration; Convergence; Errors; Extended Kalman filter; Gyroscopes; Inertial navigation; invariant extended Kalman filter; Invariants; Lie groups; Navigation systems; Nonlinear systems; Rotation; rotational inertial navigation system; Self calibration; self-alignment

For a given device, the rapidity and accuracy of device error coefficient calibration and attitude alignment of the rotational inertial navigation system mainly depend on the convergence rate of the nonlinear filtering algorithm. The traditional extended Kalman filter method has no theoretical conve...