Journal of System Simulation ›› 2026, Vol. 38 ›› Issue (4): 916-931.doi: 10.16182/j.issn1004731x.joss.24-1279

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Space-ground Integrated Collaborative Positioning Algorithm and Simulation for Trajectory Enhancement

Wei Juhui, Zhang Xinyong, Wang Jiongqi, Zhou Xuanying, He Zhangming   

  1. College of Science, National University of Defense Technology, Changsha 410073, China
  • Received:2024-11-19 Revised:2025-02-18 Online:2026-04-20 Published:2026-04-22
  • Contact: He Zhangming

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.

Key words: collaborative positioning, multi-source data fusion, simulation credibility, critical feature selection, spline-constrained model, time difference positioning system

CLC Number: