Journal of System Simulation
Abstract
Abstract: To address the challenges of low credibility, weak consistency, and poor accuracy in the information of trajectory results from space-based and ground-based passive time difference positioning simulation systems, a space-ground integrated collaborative positioning method was proposed for trajectory enhancement. By analyzing the operating principle of the time difference positioning system, the influencing factors that measure positioning accuracy in different feature dimensions were obtained; spline smoothing was employed for data alignment between space-based and ground-based systems; a spline-constrained parametric trajectory model was proposed to further enhance the stability; an error-sensitive feature selection framework for improving simulation consistency was constructed to mitigate dimensional deviations of the simulation system by optimizing multi-source heterogeneous data fusion mechanism. Simulation results demonstrate that in the preset scenarios, the accuracy of the trajectory achieves 2 540 m with a 44.6% improvement over conventional fusion approaches.
Recommended Citation
Wei, Juhui; Zhang, Xinyong; Wang, Jiongqi; Zhou, Xuanying; and He, Zhangming
(2026)
"Space-ground Integrated Collaborative Positioning Algorithm and Simulation for Trajectory Enhancement,"
Journal of System Simulation: Vol. 38:
Iss.
4, Article 6.
DOI: 10.16182/j.issn1004731x.joss.24-1279
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol38/iss4/6
First Page
916
Last Page
931
CLC
TP391.9
Recommended Citation
Wei Juhui, Zhang Xinyong, Wang Jiongqi, et al. Space-ground Integrated Collaborative Positioning Algorithm and Simulation for Trajectory Enhancement[J]. Journal of System Simulation, 2026, 38(4): 916-931.
DOI
10.16182/j.issn1004731x.joss.24-1279
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