Error and performance analysis of cold-atom inertial sensors for navigation
Error and performance analysis of cold-atom inertial sensors for navigation
Cold-atom inertial (CAI) sensors based on light-pulse atom interferometry show much promise for the next generation of navigation systems thanks to their low scale-factor and bias instability. Despite the high performance demonstrated in laboratory-based experiments, CAI technology is still far from being deployed in real-world navigation applications, and an analysis of the potential errors must be carried out in order to assess their impact on sensor performance. Within this context, we conduct a theoretical analysis to identify some of the most important error sources, disclose their physical mechanisms, and assess their impact on sensor performance. Through a multidisciplinary approach that combines different methodologies spanning from system engineering to quantum physics modeling, we analyse the response of the CAI sensor to several error sources, including scale-factor, bias, and noise, and establishing clear relations between system parameters and sensor performance. Particular emphasis is given to error sources stemming from the laseratom interaction during the Raman-pulse sequence and from state detection and imaging. Moreover, we present a method for optimizing beam-splitter pulses based on timedependent perturbation theory, demonstrating improvements in the simulated performance of a CAI sensor. Finally. due to its attractive multi-axial sensitivity and inherent capability to discriminate the acceleration from the rotational signal, we study in more detail errors sources in CAI sensors based on point-source interferometry. We therefore present a read-out method based on Kalman filtering to extract the interferometric phase map from interferograms, along with a compensation scheme for real-time calibration of the rotational scale-factor based on the integration of the CAI sensor with classical inertial sensors
Cold-atom inertial sensor, Inertial navigation, Error analysis, Modelling atom interferometry
University of Southampton
Dedes, Nikolaos
aa6b8f4d-bd3a-4b1c-834d-14126ddba38f
October 2024
Dedes, Nikolaos
aa6b8f4d-bd3a-4b1c-834d-14126ddba38f
Freegarde, Tim
01a5f53b-d406-44fb-a166-d8da9128ea7d
Gates, James
b71e31a1-8caa-477e-8556-b64f6cae0dc2
Dedes, Nikolaos
(2024)
Error and performance analysis of cold-atom inertial sensors for navigation.
University of Southampton, Doctoral Thesis, 248pp.
Record type:
Thesis
(Doctoral)
Abstract
Cold-atom inertial (CAI) sensors based on light-pulse atom interferometry show much promise for the next generation of navigation systems thanks to their low scale-factor and bias instability. Despite the high performance demonstrated in laboratory-based experiments, CAI technology is still far from being deployed in real-world navigation applications, and an analysis of the potential errors must be carried out in order to assess their impact on sensor performance. Within this context, we conduct a theoretical analysis to identify some of the most important error sources, disclose their physical mechanisms, and assess their impact on sensor performance. Through a multidisciplinary approach that combines different methodologies spanning from system engineering to quantum physics modeling, we analyse the response of the CAI sensor to several error sources, including scale-factor, bias, and noise, and establishing clear relations between system parameters and sensor performance. Particular emphasis is given to error sources stemming from the laseratom interaction during the Raman-pulse sequence and from state detection and imaging. Moreover, we present a method for optimizing beam-splitter pulses based on timedependent perturbation theory, demonstrating improvements in the simulated performance of a CAI sensor. Finally. due to its attractive multi-axial sensitivity and inherent capability to discriminate the acceleration from the rotational signal, we study in more detail errors sources in CAI sensors based on point-source interferometry. We therefore present a read-out method based on Kalman filtering to extract the interferometric phase map from interferograms, along with a compensation scheme for real-time calibration of the rotational scale-factor based on the integration of the CAI sensor with classical inertial sensors
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Published date: October 2024
Keywords:
Cold-atom inertial sensor, Inertial navigation, Error analysis, Modelling atom interferometry
Identifiers
Local EPrints ID: 494819
URI: http://eprints.soton.ac.uk/id/eprint/494819
PURE UUID: cfd908a7-af52-472c-83f4-2cd3ca4eeccf
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Date deposited: 16 Oct 2024 16:38
Last modified: 17 Oct 2024 01:38
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Contributors
Thesis advisor:
James Gates
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