Universal Global State Estimation for Inertial Navigation Systems
<|reference_start|>Universal Global State Estimation for Inertial Navigation Systems: This paper addresses the problem of accurate pose estimation (position, velocity, and orientation) for a rigid body. By utilizing generic exteroceptive measurements in combination with an Inertial Measurement Unit (IMU), we reformulate the vehicle's dynamics and outputs to fit within a linear time-varying (LTV) framework. This transformation enables the application of a linear continuous-time Kalman filter, thereby avoiding the complexities of nonlinear estimators and local Kalman-type filtering methods (e.g., EKF). We perform a complete uniform observability analysis for key benchmark problems (e.g., GPS-INS and Landmark-INS) and derive sufficient conditions for ensuring global uniform exponential stability. Simulations are conducted for two practical applications: stereo-aided inertial navigation systems (INS) with both constant and time-varying gains, as well as GPS-aided INS. The proposed approach notably simplifies observer design for INS.<|reference_end|>
@article{benahmed2024universal,
    title={Universal Global State Estimation for Inertial Navigation Systems},
    author={Sifeddine Benahmed and Soulaimane Berkane},
    journal={arXiv preprint arXiv:2410.03846},
    year={2024},
    archivePrefix={arXiv},
    eprint={2410.03846},
    primaryClass={eess.SY cs.SY}
}