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Performance evaluation of a three-dimensional cold atom interferometer based inertial navigation system

Weddig, Nicolai Ben and Tennstedt, Benjamin and Schön, Steffen (2021) Performance evaluation of a three-dimensional cold atom interferometer based inertial navigation system. In: 2021 DGON Inertial Sensors and Systems, ISS 2021, P16. IEEE. 2021 DGON Inertial Sensors and Systems (ISS), 2021-09-29 - 2021-09-30, Braunschweig, Deutschland. doi: 10.1109/ISS52949.2021.9619776. ISBN 978-1-6654-3178-1. ISSN 2377-3480.

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Official URL: https://ieeexplore.ieee.org/abstract/document/9619776

Abstract

A sensor fusion algorithm of a conventional MEMS IMU with semi-simulated cold atom interferometer (CAI) sensor values, based on an ESEKF, is demonstrated, and its performance is analyzed under different boundary conditions. CAI sensor values are generated from real navigation grade RLG IMU measurements. The MEMS IMU sensor data is used as input to a navigation strapdown algorithm. The developed ESEKF is able to track different systematic error terms, such as bias components, relative to the CAI reference. Dynamic and static experiments are recorded, with 10 repetitions. The drift of the MEMS strapdown + ESEKF (filtered) navigation solution is compared to the drift of a MEMS-only (unfiltered) strapdown navigation solution, with respect to a reference solution based on the navigation grade sensor data. The drift in position, velocity and attitude of the filtered solution is reduced by a factor of 30 (in position) to 100 (in attitude) with respect to the unfiltered solution. In the dynamic case, the drift is reduced from 9848.56 ± 297.27 m to 335.93 ± 138.51 m. A sensor delay study is performed as well. The system is stable for delays of up to 0.25 seconds between both sensors. For larger delays, the variance components of the bias terms in the process noise matrix need to be adjusted, as the large noise of the MEMS sensor causes divergence of the system. After this adjustment, the filter does not diverge for a higher delay, a smoothed error estimate results, which exhibits a worse performance when compared to the previously mentioned filter solutions with smaller delays. On the other hand, it performs better than the unfiltered solution. These results validate the applicability of the algorithm to real data. Furthermore, it is shown that the algorithm is stable even if sensors of different grades are used. Finally, divergence of the system only occurs if the sensor differences between two filtering steps are too large, which indicates that the grade of the conventional sensor, and the performed dynamics, are important characteristics of this type of filter.

Item URL in elib:https://elib.dlr.de/185895/
Document Type:Conference or Workshop Item (Speech)
Title:Performance evaluation of a three-dimensional cold atom interferometer based inertial navigation system
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Weddig, Nicolai BenInstitut für Erdmessung, Leibniz Universität Hannoverhttps://orcid.org/0000-0001-7401-936XUNSPECIFIED
Tennstedt, BenjaminInstitut für Erdmessung, Leibniz Universität Hannoverhttps://orcid.org/0000-0003-4362-0667UNSPECIFIED
Schön, SteffenIFE, Univ. Hannoverhttps://orcid.org/0000-0002-5042-6742UNSPECIFIED
Date:2021
Journal or Publication Title:2021 DGON Inertial Sensors and Systems, ISS 2021
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
DOI:10.1109/ISS52949.2021.9619776
Page Range:P16
Editors:
EditorsEmailEditor's ORCID iDORCID Put Code
Hecker, PeterIFF, TU BraunschweigUNSPECIFIEDUNSPECIFIED
Publisher:IEEE
Series Name:DGON Inertial Sensors and Systems Symposium
ISSN:2377-3480
ISBN:978-1-6654-3178-1
Status:Published
Keywords:Sensorfusion, MEMS, Cold Atom Interferometer, Kalman Filter
Event Title:2021 DGON Inertial Sensors and Systems (ISS)
Event Location:Braunschweig, Deutschland
Event Type:international Conference
Event Start Date:29 September 2021
Event End Date:30 September 2021
Organizer:Technische Universität Braunschweig Institute of Flight Guidance (IFF), German Institute of Navigation (DGON
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Communication, Navigation, Quantum Technology
DLR - Research area:Raumfahrt
DLR - Program:R KNQ - Communication, Navigation, Quantum Technology
DLR - Research theme (Project):R - Inertial Sensing for Space Applications
Location: Hannover
Institutes and Institutions:Institute for Satellite Geodesy and Inertial Sensing > Satellite Geodesy and Geodetic Modelling
Deposited By: Schilling, Manuel
Deposited On:25 Apr 2022 09:26
Last Modified:24 Apr 2024 20:47

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