A Satellite Navigation Spoofing Interference Detection Method Based on LSTM

ZHAO Shen; HUANG Wenna; QIN Yemei; LIAO Yifei; YANG Lingling

doi:null

您当前的位置：

首页 >

文章列表页 >

A Satellite Navigation Spoofing Interference Detection Method Based on LSTM

更新时间：2025-05-07

- A Satellite Navigation Spoofing Interference Detection Method Based on LSTM
- Chinese Journal of Intelligent Science and Technology (2025)
- 作者机构：
  
  1.湘江实验室,湖南省长沙市410205
  2.湖南工商大学智能工程与智能制造学院,湖南省长沙市410205
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China(61976088┫项目);Key Research and Development Program of Hunan Province(2024AQ2033);National Natural Science Foundation of Hunan Province(2024JJ9188);Scientific Research Foundation of Hunan Provincial Education Department(21B0577┫项目)
- DOI：
  CLC： TN96;TP391
- Received：20 January 2025，
  
  Revised：2025-04-16，
  
  Accepted：28 April 2025，
- 稿件说明：
移动端阅览
ZHAO Shen, HUANG Wenna, QIN Yemei, et al. A Satellite Navigation Spoofing Interference Detection Method Based on LSTM[J/OL]. Chinese Journal of Intelligent Science and Technology, 2025.
DOI：

ZHAO Shen, HUANG Wenna, QIN Yemei, et al. A Satellite Navigation Spoofing Interference Detection Method Based on LSTM[J/OL]. Chinese Journal of Intelligent Science and Technology, 2025. DOI：

摘要

面向卫星导航欺骗干扰检测的问题，本文提出一种适用于长短期记忆神经网络（Long Short-term Memory，LSTM）检测欺骗干扰的特征参数选取及数据处理方法。基于欺骗干扰对接收机环路的影响分析，选取跟踪环路中的直接与间接信息作为欺骗检测特征参数；利用滑窗技术对特征参数进行预处理，并按时间序列构建训练集和测试集，以保证特征的时间关联性。基于美国德克萨斯大学奥斯汀分校的TEXBAT数据集进行实验，相较于现有SVM方法，本文方法可将欺骗检测的准确率提高2.19%，且欺骗场景识别的准确率达99.98%，可有效解决导航欺骗的检测和场景识别问题。

Abstract

Facing the problem of satellite navigation spoofing interference detection

this paper proposes a feature parameter selection and data processing method applicable to the detection of spoofing interference by Long Short-term Memory (LSTM) neural network. Based on the analysis of the effect of spoofing interference on the receiver loop

the direct and indirect information in the tracking loop is selected as the spoofing detection feature parameters; the feature parameters are preprocessed using the sliding window technique

and the training and test sets are constructed according to the time series to ensure the temporal relevance of the features. Based on the experiments conducted on the TEXBAT dataset from the University of Texas at Austin

this paper's method can improve the accuracy of spoofing detection by 2.19% and spoofing scene recognition by 99.98% compared to the existing SVM methods

which can effectively solve the problem of navigation spoofing detection and scene recognition.

关键词

Keywords

references

赵慎 , 胡勇 , 李世玲 , 等 . 基于PCS与Ratio融合的GNSS欺骗检测方法研究 [J ] . 全球定位系统 , 2024 , 49 ( 04 ): 99 - 106 .

ZHAO S , HU Y , LI S L , et al . Research on GNSS Spoofing Detection Method Based on PCS and Ratio Fusion [J ] . Global Positioning System , 2024 , 49 ( 4 ): 99 - 106 .

周彦 , 王山亮 , 杨威 , 等 . GNSS欺骗式干扰检测综述 [J ] . 计算机工程与应用 , 2022 , 58 ( 11 ): 12 - 22 .

ZHOU Y , WANG S L , YANG W , et al . Survey on GNSS Spoofing Interference Detection [J ] . Computer Engineering and Applications , 2022 , 58 ( 11 ): 12 - 22 .

赵慎 , 胡勇 , 李世玲 , 等 . 绝对同相支路输出的GNSS欺骗检测 [J ] . 导航定位与授时 , 2024 , 11 ( 02 ): 83 - 92 .

ZHAO S , HU Y , LI S L , et al . GNSS Spoofing Detection with Absolute In - Phase Branch Output [J ] . Navigation Positioning and Timing , 2024 , 11 ( 2 ): 83 - 92 .

赵慎 , 廖一霏 , 李世玲 , 等 . 多相关器联合功率GNSS欺骗干扰检测方法研究 [J ] . 全球定位系统 , 2024 , 49 ( 04 ): 66 - 74 .

ZHAO S , LIAO Y F , LI S L , et al . Research on Multi-Correlator Joint Power GNSS Spoofing Interference Detection Method [J ] . Global Positioning System , 2024 , 49 ( 4 ): 66 - 74 .

倪淑燕 , 陈世淼 , 付琦玮 , 等 . 卫星导航欺骗干扰检测与抑制技术综述 [J ] . 电讯技术 , 2024 , 64 ( 05 ): 812 - 820 .

NI S Y , CHEN S M , FU Q W , et al . Survey on Satellite Navigation Spoofing Interference Detection and Suppression Techniques [J ] . Telecommunication Engineering , 2024 , 64 ( 5 ): 812 - 820 .

周雅兰 , 宋晓鸥 . 利用机器学习的GNSS欺骗检测综述 [J ] . 计算机工程与应用 , 2024 , 60 ( 17 ): 62 - 73 .

ZHOU Y L , SONG X O . Survey on GNSS Spoofing Detection Using Machine Learning [J ] . Computer Engineering and Applications , 2024 , 60 ( 17 ): 62 - 73 .

赵慎 , 戴卫华 , 周开军 , 等 . 基于间隔自相关的跳频跳时信号突发检测 [J ] . 电子学报 , 2024 , 52 ( 12 ): 3985 - 3993 .

ZHAO S , DAI W H , ZHOU K J , et al . Frequency Hopping/Time Hopping Signal Burst Detection Based on Interval Autocorrelation [J ] . Acta Electronica Sinica , 2024 , 52 ( 12 ): 3985 - 3993 .

Z. CHEN , J. LI , J. LI , et al . GNSS Multiparameter Spoofing Detection Method Based on Support Vector Machine [J ] . IEEE Sensors Journal , 2022 , 22 ( 18 ): 17864 - 17874 .

周彦 , 王山亮 , 杨威 , 等 . 基于PSO-ELM的卫星导航欺骗式干扰检测 [J ] . 导航定位与授时 , 2022 , 9 ( 05 ): 153 - 161 .

ZHOU Y , WANG S L , YANG W , et al . Satellite Navigation Spoofing Detection Based on PSO-ELM [J ] . Navigation Positioning and Timing , 2022 , 9 ( 5 ): 153 - 161 .

GHANBARZADE Ali , SOLEIMANI Hossein . GNSS/GPS Spoofing and Jamming Identification Using Machine Learning and Deep Learning [J ] . ArXiv abs/2501.02352 , 2025 , (): n. pag.

J. LI , W. LI , S. HE , Z. DAI , Q. FU . Research on Detection of Spoofing Signal with Small Delay Based on KNN [ ] // 2020 IEEE 3rd International Conference on Electronics Technology (ICET) , Chengdu, China . New York : IEEE , 2020 : 625 - 629 .

倪淑燕 , 付琦玮 , 陈世淼 , 等 . 基于支持向量机的GNSS欺骗式干扰多相关器检测方法 [J ] . 电子信息对抗技术 , 2025 , 40 ( 02 ): 24 - 31 .

NI S Y , FU Q W , CHEN S M , et al . A Multi-Correlator Detection Method for GNSS Spoofing Interference Based on Support Vector Machine [J ] . Electronic Information Warfare Technology , 2025 , 40 ( 02 ): 24 - 31 .

GALLARDO F , YUSTE A P . SCER Spoofing Attacks on the Galileo Open Service and Machine Learning Techniques for End-User Protection [J ] . Journal of Navigation , 2020 , 8 : 85515 - 85532 .

PERVYSHEVA Y , KÄPPI J , SYRJÄRINNE J , et al . Multi - Receiver Ensemble Machine - Learning Techniques for GNSS Spoofing Detection with Generalisability Approach [C ] // 2024 32nd Telecommunications Forum (TELFOR) . Belgrade, Serbia , 2024 . New York : IEEE , 2024: 1 - 4 .

TOHIDI S , MOSAVI M R . Effective Detection of GNSS Spoofing Attack Using A Multi-Layer Perceptron Neural Network Classifier Trained by PSO [C ] // 2020 25th International Computer Conference, Computer Society of Iran (CSICC) , Tehran, Iran . Tehran : CSICC , 2020 : 1 - 5 .

JAYAWEERA M . A Novel deep learning GPS antispoofing system with DOA time-series estimation [C ] // 2021 IEEE Global Communications Conference (GLOBECOM) , Madrid, Spain . Madrid : IEEE , 2021 : 1 - 6 .

BORHANI-DARIAN P , LI H , WU P , et al . Detecting GNSS spoofing using deep learning [J ] . EURASIP Journal on Advances in Signal Processing , 2024 ( 14 ): 1 - 19 .

SUN Y , YU M , WANG L , 等 . A Deep-Learning-Based GPS Signal Spoofing Detection Method for Small UAVs [J ] . Drones , 2023 , 7 ( 6 ): 370 .

Qi X , Sato T , Wen Z , et al . GNSS Spoofing Detection Using Multiple Sensing Devices and LSTM Networks [J ] . IEICE Transactions on Communications , 2023 , E106-B( 12 ), 1372 - 1379 .

盛孟刚 , 盛思缘 , 邓敏 , 等 . 基于长短期记忆网络的授时欺骗检测方法 [J ] . 全球定位系统 , 2024 , 49 ( 04 ): 86 - 91 .

SHENG M G , SHENG S Y , DENG M , et al . Timing Spoofing Detection Method Based on Long Short-Term Memory Network [J ] . Global Positioning System , 2024 , 49 ( 4 ): 86 - 91 .

谢钢 . GPS原理与接收机设计 [M ] . 电子工业出版社 : 201701.436 .

XIE G . GPS Principles and Receiver Design [M ] . Beijing : Publishing House of Electronics Industry, 201701.436 .

王文益 , 龚婧 , 王金铭 . 基于SCB方差的GNSS欺骗式干扰检测算法 [J ] . 系统工程与电子技术 , 2021 , 43 ( 08 ): 2254 - 2262 .

WANG W Y , GONG J , WANG J M . GNSS Spoofing Interference Detection Algorithm Based on SCB Variance [J ] . Systems Engineering and Electronics , 2021 , 43 ( 8 ): 2254 - 2262 .

黄峻 , 田永林 , 戴星原 , 等 . 基于深度学习的自动驾驶多模态轨迹预测方法：现状及展望 [J ] . 智能科学与技术学报 , 2023 , 5 ( 02 ): 180 - 199 .

HUANG J , TIAN Y L , DAI X Y , et al . A Survey on Multi-Modal Trajectory Prediction Methods for Autonomous Driving Based on Deep Learning [J ] . Journal of Intelligent Science and Technology , 2023 , 5 ( 2 ): 180 - 199 .

许博文 , 毕敬 , 苑海涛 , 等 . 基于季节性分解与长短期记忆网络的水质动态预警 [J ] . 智能科学与技术学报 , 2021 , 3 ( 04 ): 456 - 465 .

XU B W , BI J , YUAN H T , et al . Water Quality Dynamic Early Warning Based on Seasonal Decomposition and Long Short-Term Memory Network [J ] . Journal of Intelligent Science and Technology , 2021 , 3 ( 4 ): 456 - 465 .

Humphreys T , Bhatti J , Shepard D P , et al . The Texas Spoofing Test Battery: Toward a Standard for Evaluating GPS Signal Authentication Techniques [C ] // 2012 ION GNSS Conference , 2012 , 25 : 3569 - 3583 .

王路阳 , 孙一宸 , 于明鑫 , 等 . 基于TimeGAN-LSTM的无人机GPS欺骗干扰检测模型 [J ] . 电子测量与仪器学报 , 2023 , 37 ( 06 ): 122 - 135

WANG L Y , SUN Y C , YU M X , et al . UAV GPS Spoofing Interference Detection Model Based on TimeGAN-LSTM [J ] . Journal of Electronic Measurement and Instrumentation , 2023 , 37 ( 6 ): 122 - 135 .

王璐 , 张林杰 , 吴仁彪 . 功率监测与SQM融合的GNSS 欺骗干扰检测 [J ] . 信号处理 , 2023 , 39 ( 03 ): 505 - 515 .

WANG L , ZHANG L J , WU R B . GNSS Spoofing Interference Detection by Power Monitoring and SQM Fusion [J ] . Signal Processing , 2023 , 39 ( 3 ): 505 - 515 .

Views

114

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

A satellite navigation spoofing interference detection method based on LSTM

Cerberus: a cross-site social bot detection system based on deep learning

Related Author

ZHAO Shen

QIN Yemei

Related Institution

No data

Postal code：100079
Tel：（010）53879206 Email：cjist@bjxintong.com.cn
Technical support is provided by Beijing Founder electronics co., LTD 京ICP备09064830号-19 京公网安备11010802024621
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.
Total Visits：161982 Visits Today：145

⁰