Dedicated Calculation Strategy for Atom Interferometry Sensors in Inertial Navigation

verfasst von: Benjamin Tennstedt, Steffen Schon
Abstract: This paper examines two specific possibilities to use the measurement of a cold atom interferometer (CAI) sensor in Mach-Zehnder configuration in a navigation solution, both in combination with a conventional IMU. A loosely coupled option within the solution of the Bortz equation is discussed, as well as a deeper integrated combination within an error state Kalman filter framework. In the latter, the conventional IMU can be used to solve the ambiguity problem of the cold atom interferometer (CAI), while the CAI corrects systematic IMU errors and reduces the uncertainty of the navigation solutions position and velocity estimate.
Organisationseinheit(en): Institut für Erdmessung
QuantumFrontiers
Typ: Aufsatz in Konferenzband
Seiten: 755-764
Anzahl der Seiten: 10
Publikationsdatum: 2020
Publikationsstatus: Veröffentlicht
Peer-reviewed: Ja
ASJC Scopus Sachgebiete: Signalverarbeitung, Luft- und Raumfahrttechnik, Steuerung und Optimierung, Instrumentierung
Elektronische Version(en): https://doi.org/10.1109/plans46316.2020.9110142 (Zugang: Geschlossen)

BibTeX

@inproceedings{b463691fedaa4e77a0087057b44e2010,
title = "Dedicated Calculation Strategy for Atom Interferometry Sensors in Inertial Navigation",
abstract = "This paper examines two specific possibilities to use the measurement of a cold atom interferometer (CAI) sensor in Mach-Zehnder configuration in a navigation solution, both in combination with a conventional IMU. A loosely coupled option within the solution of the Bortz equation is discussed, as well as a deeper integrated combination within an error state Kalman filter framework. In the latter, the conventional IMU can be used to solve the ambiguity problem of the cold atom interferometer (CAI), while the CAI corrects systematic IMU errors and reduces the uncertainty of the navigation solutions position and velocity estimate.",
keywords = "atom interferometry, error state kalman filter, inertial navigation",
author = "Benjamin Tennstedt and Steffen Schon",
note = "Funding Information: This work was funded by the Federal Ministry of Economics and Technology of Germany, following a resolution of the German Bundestag (project number: 50NA1805).; 2020 IEEE/ION Position, Location and Navigation Symposium, PLANS 2020 ; Conference date: 20-04-2020 Through 23-04-2020",
year = "2020",
doi = "10.1109/plans46316.2020.9110142",
language = "English",
isbn = "978-1-7281-9446-2",
series = " IEEE/ION Position Location and Navigation Symposium",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "755--764",
booktitle = "2020 IEEE/ION Position, Location and Navigation Symposium, PLANS 2020",
address = "United States",
}