系统仿真学报 ›› 2026, Vol. 38 ›› Issue (4): 916-931.doi: 10.16182/j.issn1004731x.joss.24-1279

• 论文 • 上一篇    下一篇

面向航迹增强的天地一体化协同定位算法及其仿真

魏居辉, 张鑫勇, 王炯琦, 周萱影, 何章鸣   

  1. 国防科技大学 理学院,湖南 长沙 410073
  • 收稿日期:2024-11-19 修回日期:2025-02-18 出版日期:2026-04-20 发布日期:2026-04-22
  • 通讯作者: 何章鸣
  • 第一作者简介:魏居辉(1997-),男,博士生,研究方向为测量数据建模与仿真、系统诊断重构理论与方法。
  • 基金资助:
    国家自然科学基金(62203458);湖南省研究生科研创新项目(CX20220024);湖南省研究生科研创新项目(CX20230014)

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

摘要:

针对“天基”和“地基”无源时差定位仿真系统中的航迹结果信息存在置信度低、一致性弱、精确度差等问题,提出一种面向航迹增强的天地一体化协同定位方法。通过分析时差定位系统的工作原理,得到不同特征维度上衡量定位精度的影响因子;采用样条平滑实现了天基系统与地基系统的数据对齐;提出了基于样条约束的航迹参数化模型以进一步增强稳定性;构建了面向仿真一致性提升的误差敏感特征选择框架,通过优化多源异构数据的融合机制解决仿真系统的维度偏差问题。仿真结果表明:在预设的场景中,得到的航迹精度约为2 540 m,较传统融合方法提升约44.6%。

关键词: 协同定位, 多源数据融合, 仿真置信度, 关键特征选择, 样条约束模型, 时差定位系统

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

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