Observation Sequence Autonomous Planning Method Aiming at Improving the Observability of Camera Installation Errors

In autonomous relative optical navigation, the spacecraft's observation sequence can affect the observability of camera installation errors, thereby severely impacting the accuracy of autonomous estimation of camera installation errors. To achieve high-accuracy estimation of camera installation errors during the relative optical navigation process, this paper proposes an observation sequence autonomous planning method aiming at improving the observability of camera installation errors. Firstly, the observability of camera installation errors in the autonomous relative optical navigation system is theoretically analyzed, the factors affecting the observability of camera installation errors are identified, and the conditions for the observability of installation errors are provided. Secondly, the observability of camera installation errors is quantified using the Fisher Information Matrix (FIM). Then, by optimizing the observability of camera installation errors, the spacecraft's observation sequence is autonomously planned. Finally, numerical simulations are conducted to verify the advantages of the proposed method. Compared with the random planning method for spacecraft observation sequences, the estimation accuracy of camera installation errors in this method is improved by 59.89%.

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Publication Details

Journal
IEEE Transactions on Aerospace and Electronic Systems
Published
2025-05-28
DOI
https://doi.org/10.1109/taes.2025.3574696
Primary Topic
Robotics and Sensor-Based Localization
Type
article
Field-Weighted Citation Impact
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article

Observation Sequence Autonomous Planning Method Aiming at Improving the Observability of Camera Installation Errors

Dayi Wang, Jiongqi Wang, Xiaogang Pan, Bowen Sun et al.
IEEE Transactions on Aerospace and Electronic Systems
Robotics and Sensor-Based Localization
article

Observation Sequence Autonomous Planning Method Aiming at Improving the Observability of Camera Installation Errors

Dayi Wang, Jiongqi Wang, Xiaogang Pan, Bowen Sun, Y. Jiao
article en

Abstract

In autonomous relative optical navigation, the spacecraft's observation sequence can affect the observability of camera installation errors, thereby severely impacting the accuracy of autonomous estimation of camera installation errors. To achieve high-accuracy estimation of camera installation errors during the relative optical navigation process, this paper proposes an observation sequence autonomous planning method aiming at improving the observability of camera installation errors. Firstly, the observability of camera installation errors in the autonomous relative optical navigation system is theoretically analyzed, the factors affecting the observability of camera installation errors are identified, and the conditions for the observability of installation errors are provided. Secondly, the observability of camera installation errors is quantified using the Fisher Information Matrix (FIM). Then, by optimizing the observability of camera installation errors, the spacecraft's observation sequence is autonomously planned. Finally, numerical simulations are conducted to verify the advantages of the proposed method. Compared with the random planning method for spacecraft observation sequences, the estimation accuracy of camera installation errors in this method is improved by 59.89%.

IEEE Transactions on Aerospace and Electronic SystemsVol. 61(5)
National University of Defense Technology (CN), China Academy of Space Technology (CN)
Openalex Percentile: Top 85%
Robotics and Sensor-Based Localization
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Observation Sequence Autonomous Planning Method Aiming at Improving the Observability of Camera Installation Errors — Dayi Wang, Jiongqi Wang, et al. · IEEE Transactions on Aerospace and Electronic Systems (2025) | TGRS Research Map | TGRS