Assessment of IMU Quality Requirements in Integrated Quantum Inertial Navigation Systems

This work presents an approach to assess the quality requirements for classical inertial measurement units (IMU) used in conjunction with a cold atom interferometer (CAI) for application in a hybrid quantum inertial navigations system (QINS). Based on the steady state formulation of an extended Kalman filter used for the hybridization of CAI and IMU, a model for the sensitivity gain of the QINS over the classical IMU is developed. This sensitivity gain depends on the white noise density of the classical sensor, as well as the scale factor and the signal-to-noise ratio of the CAI. Using the example of a single hybridized accelerometer axis it can be shown that for each CAI setting, an optimal white noise density of the classical accelerometer exists for which the sensitivity gain of the QINS yields a maximum. The findings are applied to evaluate existing experimental assemblies.

Authors

Institutions

Publication Details

Published
2025-05-04
DOI
https://doi.org/10.1109/inertial63280.2025.11037122
Primary Topic
Space Satellite Systems and Control
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessment of IMU Quality Requirements in Integrated Quantum Inertial Navigation Systems

Benjamin Tennstedt, Steffen Schön
Space Satellite Systems and Control
article

Assessment of IMU Quality Requirements in Integrated Quantum Inertial Navigation Systems

Benjamin Tennstedt, Steffen Schön
article en

Abstract

This work presents an approach to assess the quality requirements for classical inertial measurement units (IMU) used in conjunction with a cold atom interferometer (CAI) for application in a hybrid quantum inertial navigations system (QINS). Based on the steady state formulation of an extended Kalman filter used for the hybridization of CAI and IMU, a model for the sensitivity gain of the QINS over the classical IMU is developed. This sensitivity gain depends on the white noise density of the classical sensor, as well as the scale factor and the signal-to-noise ratio of the CAI. Using the example of a single hybridized accelerometer axis it can be shown that for each CAI setting, an optimal white noise density of the classical accelerometer exists for which the sensitivity gain of the QINS yields a maximum. The findings are applied to evaluate existing experimental assemblies.

Leibniz University Hannover (DE)
Affordable and clean energy
Openalex Percentile: Top 81%
Space Satellite Systems and Control
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.