TY - GEN
T1 - High-Precision Cooperative Positioning for Satellite Formation System via Multi-Observation Fusion
AU - Cheng, Peng
AU - Li, Xiaolei
AU - Ju, Yinhao
AU - Huan, Baizheng
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - Due to the observation constraints, achieving the high-precision positioning of the satellite formation system remains a significant challenge. This paper proposes a multi-observation fusion positioning scheme for the satellite formation system, which can improve three-dimensional positioning accuracy by the inter-satellite cooperative ranging. Firstly, the pseudo-range observation and baseline observation models are presented to provide the observation data for the satellite formation system. Secondly, the multi-observation fusion positioning scheme is developed using the extended Kalman filter and the nonlinear least-squares method to integrate pseudo-range observation and baseline observation. Finally, numerical simulations are implemented to validate the effectiveness of fusion positioning for the satellite formation system, demonstrating that the proposed scheme effectively reduces positioning errors and achieves higher accuracy of three-dimensional positioning than the traditional method.
AB - Due to the observation constraints, achieving the high-precision positioning of the satellite formation system remains a significant challenge. This paper proposes a multi-observation fusion positioning scheme for the satellite formation system, which can improve three-dimensional positioning accuracy by the inter-satellite cooperative ranging. Firstly, the pseudo-range observation and baseline observation models are presented to provide the observation data for the satellite formation system. Secondly, the multi-observation fusion positioning scheme is developed using the extended Kalman filter and the nonlinear least-squares method to integrate pseudo-range observation and baseline observation. Finally, numerical simulations are implemented to validate the effectiveness of fusion positioning for the satellite formation system, demonstrating that the proposed scheme effectively reduces positioning errors and achieves higher accuracy of three-dimensional positioning than the traditional method.
KW - Integrated Positioning
KW - Kalman Filter
KW - Least Squares
KW - Satellite Formation
UR - https://www.scopus.com/pages/publications/105041623171
U2 - 10.1109/ASIM67379.2025.11512905
DO - 10.1109/ASIM67379.2025.11512905
M3 - 会议稿件
AN - SCOPUS:105041623171
T3 - Proceeding of the 2025 4th International Conference on Advanced Sensing and Intelligent Manufacturing, ASIM 2025
BT - Proceeding of the 2025 4th International Conference on Advanced Sensing and Intelligent Manufacturing, ASIM 2025
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th International Conference on Advanced Sensing and Intelligent Manufacturing, ASIM 2025
Y2 - 31 October 2025 through 2 November 2025
ER -