人工智能赋能地月空间PNT技术体系与发展趋势

焦国强; 苏珂; 张立龙; 葛玉龙; 杨宇泽; 单路路

doi:10.15892/j.cnki.djzdxb.2026.04.001

弹箭与制导学报 >

2026 , Vol. 46 >Issue 4: 337 - 352

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2026.04.001

综述

人工智能赋能地月空间PNT技术体系与发展趋势

焦国强 ¹^,² ,
苏珂 ^,³^,^* ,
张立龙 ⁴ ,
葛玉龙 ⁴ ,
杨宇泽 ⁵ ,
单路路 ⁶

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¹ 北京跟踪与通信技术研究所, 北京 100094
² 智能空间信息国家级重点实验室, 北京 100094
³ 航天工程大学航天信息学院, 北京 101416
⁴ 南京师范大学海洋科学与工程学院, 江苏南京 210023
⁵ 中国科学院上海天文台, 上海 200030
⁶ 中国人民解放军 96901 部队, 北京 100094

^* suke17@mails.ucas.ac.cn

收稿日期: 2026-05-12

网络出版日期: 2026-08-20

收起

AI-enbled Earth-moon Space PNT Technology System and Its Development Trend

JIAO Guoqiang ¹^,² ,
SU Ke ^,³^,^* ,
ZHANG Lilong ⁴ ,
GE Yulong ⁴ ,
YANG Yuze ⁵ ,
SHAN Lulu ⁶

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¹ Beijing Institute of Tracking and Telecommunications Technology, Beijing 100094, China
² National Key Laboratory of Intelligent Spatial Information, Beijing 100094, China
³ School of Space Information, Space Engineering University, Beijing 101416, China
⁴ School of Marine Science and Engineering, Nanjing Normal University, Nanjing 210023,Jiangsu, China
⁵ Shanghai Astronomical Observatory, Chinese Academy of Sciences, Shanghai 200030, China
⁶ 96901 of People’s Liberation Army, Beijing 100094, China

Received date: 2026-05-12

Online published: 2026-08-20

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摘要

地月空间任务正迈向长期驻留与资源开发阶段,对定位、导航与授时(Positioning,Navigation and Timing,PNT)技术的自主性、高精度与强韧性提出更高要求。针对现有技术碎片化、弹性设计不足等问题,研究结合国内外深空探测需求,梳理地月空间PNT挑战与人工智能(Artificial Intelligence,AI)赋能现状;从智能导航感知与多源数据融合、自适应智能决策与容错、天地月协同弹性架构三个维度构建智能PNT技术体系,明确核心路径与耦合机制;展望多模态大模型、边缘计算等发展趋势,提出相关发展建议。研究表明,智能技术的深度融合应用是地月空间弹性PNT体系发展的关键,所构建体系可为我国下一代综合PNT体系建设及月球科研站、载人登月等任务提供理论参考。

关键词： 地月空间; 人工智能; 多源数据融合; 智能导航; 智能PNT

本文引用格式

焦国强 , 苏珂 , 张立龙 , 葛玉龙 , 杨宇泽 , 单路路 . 人工智能赋能地月空间PNT技术体系与发展趋势[J]. 弹箭与制导学报, 2026 , 46(4) : 337 -352 . DOI: 10.15892/j.cnki.djzdxb.2026.04.001

Abstract

As cislunar space missions transition from exploration to long-term habitation and resource development,there is an escalating demand for positioning,navigation and timing (PNT) technologies characterized by superior autonomy,high precision and robustness.To address the fragmented technologies and insufficient resilience in current systems,this paper first identifies four core challenges for cislunar space PNT:the uneven distribution of ground-based tracking,telemetry,and command (TT&C) infrastructure,the poor geometry and severe signal attenuation of GNSS space service volume (SSV),the low accuracy of celestial navigation,and the lack of a mature cislunar navigation constellation.A holistic intelligent PNT technical framework is constructed from three critical dimensions:(1) intelligent navigation perception and multi-source data fusion,(2) adaptive decision-making with fault tolerance,and (3) resilient earth-moon collaborative architecture.Furthermore,the core implementation paths and coupling mechanisms are clarified.The developement trends,including multimodal large models and edge computing,are also discusses,and the strategic recommendations for future development are proposed.Results demonstrate that this integrated architecture can provide mission-critical support for China’s next-generation comprehensive PNT systems,specifically catering to the high-reliability requirements of establishing a lunar research station and conducting the manned lunar landings.

Key words： cislunar space; artificial intelligence; multi-source data fusion; intelligent navigation; intelligent PNT

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