Inertial sensors technologies for navigation applications: State of the art and future trends

N El-Sheimy, A Youssef - Satellite Navigation, 2020 - Springer
Inertial navigation represents a unique method of navigation, in which there is no
dependency on external sources of information. As opposed to other position fixing …

Data fusion of total solar irradiance composite time series using 41 years of satellite measurements

JP Montillet, W Finsterle, G Kermarrec… - Journal of …, 2022 - Wiley Online Library
Since the late 1970s, successive satellite missions have been monitoring the sun's activity
and recording the total solar irradiance (TSI). Some of these measurements have lasted for …

The Generalized Method of Wavelet Moments with eXogenous inputs: a fast approach for the analysis of GNSS position time series

DA Cucci, L Voirol, G Kermarrec, JP Montillet… - Journal of …, 2023 - Springer
The global navigation satellite system (GNSS) daily position time series are often described
as the sum of stochastic processes and geophysical signals which allow to study global and …

An optimal fusion method of multiple inertial measurement units based on measurement noise variance estimation

H Huang, H Zhang, L Jiang - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
At present, most inertial systems generally only contain a single inertial measurement unit
(IMU). Considering the low cost and low accuracy of the micro-electromechanical system …

Generalized method of wavelet moments for inertial navigation filter design

Y Stebler, S Guerrier, J Skaloud… - IEEE transactions on …, 2014 - ieeexplore.ieee.org
The integration of observations issued from a satellite-based system (GNSS) with an inertial
navigation system (INS) is usually performed through a Bayesian filter such as the extended …

Theoretical limitations of allan variance-based regression for time series model estimation

S Guerrier, R Molinari, Y Stebler - IEEE Signal Processing …, 2016 - ieeexplore.ieee.org
This letter formally proves the statistical inconsistency of the Allan variance-based estimation
of latent (composite) model parameters. This issue has not been sufficiently investigated and …

A dual-linear Kalman filter for real-time orientation determination system using low-cost MEMS sensors

S Zhang, S Yu, C Liu, X Yuan, S Liu - Sensors, 2016 - mdpi.com
To provide a long-time reliable orientation, sensor fusion technologies are widely used to
integrate available inertial sensors for the low-cost orientation estimation. In this paper, a …

An algorithm for online stochastic error modeling of inertial sensors in urban cities

L Zhao, L Zhao - Sensors, 2023 - mdpi.com
Regardless of whether the global navigation satellite system (GNSS)/inertial navigation
system (INS) is integrated or the INS operates independently during GNSS outages, the …

[HTML][HTML] Airborne sensor fusion: Expected accuracy and behavior of a concurrent adjustment

K Mouzakidou, A Brun, DA Cucci, J Skaloud - ISPRS Open Journal of …, 2024 - Elsevier
Tightly-coupled sensor orientation, ie the simultaneous processing of temporal (GNSS and
raw inertial) and spatial (image and lidar) constraints in a common adjustment, has …

Time synchronization of consumer cameras on Micro Aerial Vehicles

M Rehak, J Skaloud - ISPRS Journal of Photogrammetry and Remote …, 2017 - Elsevier
This article discusses the problem of time registration between navigation and imaging
components on Micro Aerial Vehicles (MAVs). Accurate map** with MAVs is gaining …