Composite disturbance filtering: A novel state estimation scheme for systems with multi-source, heterogeneous, and isomeric disturbances

L Guo, W Li, Y Zhu, X Yu, Z Wang - IEEE Open Journal of the …, 2023 - ieeexplore.ieee.org
State estimation has long been a fundamental problem in signal processing and control
areas. The main challenge is to design filters with ability to reject or attenuate various …

Errors in micro-electro-mechanical systems inertial measurement and a review on present practices of error modelling

R Bhardwaj, N Kumar, V Kumar - Transactions of the …, 2018 - journals.sagepub.com
Micro-electro-mechanical systems (MEMS) technology-based accelerometers and
gyroscopes are small size, mass produced, low cost inertial sensors, which are now being …

Experimental analysis of filtering algorithms for IMU-based applications under vibrations

D Capriglione, M Carratù, M Catelani… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
The use of microelectro-mechanical systems (MEMS)-based inertial measurement units
(IMUs) is widespread in many applications concerning monitoring, diagnostic, and/or …

Evaluation of experimental GNSS and 10-DOF MEMS IMU measurements for train positioning

J Otegui, A Bahillo, I Lopetegi… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Integrating new candidate sensors, such as Global Navigation Satellite System (GNSS) and
inertial measurement unit (IMU), into fail-safe train positioning systems have recently …

A novel progressive Gaussian approximate filter for tightly coupled GNSS/INS integration

M Bai, Y Huang, Y Zhang, G Jia - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In this article, we focus on addressing the nonlinear filtering problem with large prior
uncertainty but high measurement accuracy, which may be encountered in the application of …

[HTML][HTML] Meta-learning for few-shot sensor self-calibration to increase stress robustness

P Tritschler, T Ohms, B Yang, A Zimmermann - Engineering Applications of …, 2024 - Elsevier
Inertial measurement units (IMU) are able to sense the acceleration and rotation rate of a
system and are widely used in mass products like mobile phones and toy drones. These …

Stochastic error modeling of smartphone inertial sensors for navigation in varying dynamic conditions

A Radi, S Nassar, N El-Sheimy - Gyroscopy and Navigation, 2018 - Springer
This paper aims at investigating and analyzing the behavior of Micro-Electromechanical
Systems (MEMS) inertial sensors stochastic errors in both static and varying dynamic …

Calibration optimization study for tilt-compensated compasses

MV Gheorghe, MC Bodea - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
This paper extends prior work on magnetic and inertial sensor frame calibration with an
optimization study for the calibration of tilt-compensated electronic compasses. The novelty …

Simulation framework for testing train navigation algorithms based on 9-DOF-IMU and tachometers

J Otegui, A Bahillo, I Lopetegi… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
The integration of candidate sensors such as a microelectromechanical system-based
inertial measurement unit (MEMS IMU) for localization and navigation has been widely …

Skewed-redundant hall-effect magnetic sensor fusion for perturbation-free indoor heading estimation

M Karimi, E Babaians, M Oelsch… - 2020 Fourth IEEE …, 2020 - ieeexplore.ieee.org
Robust attitude and heading estimation with respect to a known reference is an essential
component for indoor localization in robotic applications. Affordable Attitude and Heading …