Integration of atom interferometers and inertial measurement units to improve navigation performance

authored by: Benjamin Tennstedt, Steffen Schön
Abstract: This paper explores a way of combining conventional inertial sensors with cold atom interferometers (CAI) in order to reduce the drift of the navigation solutions in velocity and orientation. Instead of complementing and improving the CAI with conventional sensors, in this approach the conventional IMU will be used as main sensor for a prediction of the kinematic state. The CAI is then used for the correction of systematic errors and offsets in the framework of an extended Kalman Filter. Monte Carlo simulation studies demonstrate an improvement of the navigation solution precision. In addition, most drifts of velocity and orientation can be eliminated and the uncertainty of the velocity solution can further be reduced by a factor of 30 or more compared to the conventional strapdown. The observability of the error states is discussed.
Organisation(s): Institute of Geodesy
QuantumFrontiers
Type: Conference contribution
Publication date: 2021
Publication status: Published
Peer reviewed: Yes
ASJC Scopus subject areas: Aerospace Engineering, Control and Systems Engineering, Control and Optimization, Instrumentation
Electronic version(s): https://doi.org/10.15488/11023 (Access: Open)
https://doi.org/10.23919/ICINS43216.2021.9470809 (Access: Closed)

BibTeX

@inproceedings{173bbcc46354459f81592861f37f6917,
title = "Integration of atom interferometers and inertial measurement units to improve navigation performance",
abstract = "This paper explores a way of combining conventional inertial sensors with cold atom interferometers (CAI) in order to reduce the drift of the navigation solutions in velocity and orientation. Instead of complementing and improving the CAI with conventional sensors, in this approach the conventional IMU will be used as main sensor for a prediction of the kinematic state. The CAI is then used for the correction of systematic errors and offsets in the framework of an extended Kalman Filter. Monte Carlo simulation studies demonstrate an improvement of the navigation solution precision. In addition, most drifts of velocity and orientation can be eliminated and the uncertainty of the velocity solution can further be reduced by a factor of 30 or more compared to the conventional strapdown. The observability of the error states is discussed.",
keywords = "Cold atom interferometry, Extended Kalman Filter, Hybridization, Inertial navigation",
author = "Benjamin Tennstedt and Steffen Sch{\"o}n",
note = "Funding Information: This work was sponsored by BMWi, Project 50RK1957.; 28th Saint Petersburg International Conference on Integrated Navigation Systems, ICINS 2021 ; Conference date: 31-05-2021 Through 02-06-2021",
year = "2021",
doi = "10.15488/11023",
language = "English",
isbn = "978-1-6654-4191-9",
booktitle = "28th Saint Petersburg International Conference on Integrated Navigation Systems, ICINS 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
address = "United States",
}