LSTM辅助的低轨卫星多普勒机会定位

卫宇明; 崔高峰; 吴孟旌; 王卫东

doi:10.11959/j.issn.2096-8930.2026012

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LSTM辅助的低轨卫星多普勒机会定位

研究 | 更新时间：2026-03-31

- LSTM辅助的低轨卫星多普勒机会定位
- LSTM-Assisted Doppler Opportunistic Positioning with Low Earth Orbit Satellites
- 天地一体化信息网络 2026年7卷第1期页码：113-122
- 作者机构：
  
  北京邮电大学电子工程学院，北京 100876
- 作者简介：
  
  [ "卫宇明（1999- ），男，北京邮电大学硕士生，主要研究方向为低轨卫星定位、卫星通信等。" ]
  [ "崔高峰（1987- ），男，博士，北京邮电大学副教授，主要研究方向为卫星互联网、卫星物联网、天地一体化网络等。" ]
  [ "吴孟旌（1999- ），男，北京邮电大学博士生，主要研究方向为卫星互联网、通信感知一体化等。" ]
  [ "王卫东（1967- ），男，博士，北京邮电大学教授，主要研究方向为移动通信、无线宽带接入技术以及物联网技术等。" ]
- 基金信息：
  
  国家自然科学基金(62171052)
- DOI：10.11959/j.issn.2096-8930.2026012
  中图分类号： TP393
- 收稿：2025-08-19，
  
  修回：2025-10-03，
  
  纸质出版：2026-03-20
- 稿件说明：
移动端阅览
卫宇明,崔高峰,吴孟旌等.LSTM辅助的低轨卫星多普勒机会定位[J].天地一体化信息网络,2026,07(01):113-122.

Wei Yuming,Cui Gaofeng,Wu Mengjing,et al.LSTM-Assisted Doppler Opportunistic Positioning with Low Earth Orbit Satellites[J].Space-Integrated-Ground Information Networks,2026,07(01):113-122.
卫宇明,崔高峰,吴孟旌等.LSTM辅助的低轨卫星多普勒机会定位[J].天地一体化信息网络,2026,07(01):113-122. DOI： 10.11959/j.issn.2096-8930.2026012.

Wei Yuming,Cui Gaofeng,Wu Mengjing,et al.LSTM-Assisted Doppler Opportunistic Positioning with Low Earth Orbit Satellites[J].Space-Integrated-Ground Information Networks,2026,07(01):113-122. DOI： 10.11959/j.issn.2096-8930.2026012.

摘要

利用低轨卫星通信信号的瞬时多普勒频偏进行机会定位面临以下问题：定位精度受频偏估计误差影响大、低轨卫星的精确位置速度难以获取使定位精度下降。利用5G网络中的定位参考信号设计了一种“接收信号、本地定位参考信号互相关-接收信号循环前缀自相关”的两步高精度多普勒频偏估计算法，相比利用同步信号块的传统方案，频偏估计误差减小至少70%。利用长短期记忆网络预测并补偿低轨卫星根据星历外推得到的位置、速度与真实值的误差，使得终端的定位误差减小至少90%。

Abstract

Opportunistic positioning using the instantaneous Doppler frequency offset of low earth orbit (LEO) satellite communication signals faces the following problems: significant impact of frequency offset estimation errors on positioning accuracy and degraded positioning precision caused by the difficulty in obtaining accurate position and velocity data of LEO satellites. A two-step high-precision Doppler frequency offset estimation algorithm of "receiving signal and local PRS cross-correlation - receiving signal CP self-correlation" was designed by using the positioning reference signal (PRS) in 5G networks. Compared with the traditional scheme using synchronization signal blocks (SSB)

the frequency offset estimation error was reduced by more than 70%. Additionally

an long short-term memory (LSTM) network was employed to predict and compensate for the discrepancies between the extrapolated position and velocity of LEO satellites (based on ephemeris data) and their true values

reducing terminal positioning errors by more than 90%.

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Keywords

references

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低轨卫星机会信号导航定位方法

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