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基于K-means聚类的GPS同步式欺骗识别方法

王屹伟 路寅 寇艳红 兰晓阳 黄智刚

王屹伟, 路寅, 寇艳红, 兰晓阳, 黄智刚. 基于K-means聚类的GPS同步式欺骗识别方法[J]. 电子与信息学报, 2023, 45(11): 4137-4149. doi: 10.11999/JEIT230837
引用本文: 王屹伟, 路寅, 寇艳红, 兰晓阳, 黄智刚. 基于K-means聚类的GPS同步式欺骗识别方法[J]. 电子与信息学报, 2023, 45(11): 4137-4149. doi: 10.11999/JEIT230837
WANG Yiwei, LU Yin, KOU Yanhong, LAN Xiaoyang, HUANG Zhigang. Synchronous GPS Spoofing Identification Based on K-means Clustering[J]. Journal of Electronics & Information Technology, 2023, 45(11): 4137-4149. doi: 10.11999/JEIT230837
Citation: WANG Yiwei, LU Yin, KOU Yanhong, LAN Xiaoyang, HUANG Zhigang. Synchronous GPS Spoofing Identification Based on K-means Clustering[J]. Journal of Electronics & Information Technology, 2023, 45(11): 4137-4149. doi: 10.11999/JEIT230837

基于K-means聚类的GPS同步式欺骗识别方法

doi: 10.11999/JEIT230837
基金项目: 中国船舶航海保障技术实验室开放基金(2022010102)
详细信息
    作者简介:

    王屹伟:男,博士生,研究方向为卫星导航同步式欺骗和抗欺骗处理

    路寅:女,高级工程师,研究方向为卫星导航应用系统总体技术、信号处理技术

    寇艳红:女,副教授,研究方向为卫星导航与通信系统及其高性能信号处理

    兰晓阳:男,工程师,研究方向为卫星导航及多源导航融合处理

    黄智刚:男,教授,研究方向为无线电导航、卫星导航星基增强、室内定位技术等

    通讯作者:

    寇艳红  kouy@buaa.edu.cn

  • 中图分类号: TN.967.1

Synchronous GPS Spoofing Identification Based on K-means Clustering

Funds: The Open Fund of Laboratory of Science and Technology on Marine Navigation and Control (2022010102)
  • 摘要: 针对进入GPS接收机的高隐蔽性同步式欺骗信号和真实卫星信号的区分问题,该文提出一种基于多重基带特征进行聚类分析的欺骗干扰识别方法。首先总结了抗同步式欺骗的基带处理流程;然后在欺骗检测和估计的基础上,在信号处理层级提取各个信号分量的伪码和载波多普勒频率一致性(CCDC)特征、相对幅度关系特征、载噪比异动特征,在信息解算层级提取各信号分量和其他信号分量相组合进行解算对应的伪距残差特征,以及欺骗入侵前后的钟差异动特征;最后利用K均值聚类(K-means)算法对不同特征进行综合,从而完成对欺骗信号的识别。基于射频(RF)信号采集回放的半实物实验及反欺骗软件接收机的处理结果表明,该方法能够及时而准确地识别同步式欺骗和真实信号,从而指导接收机抑制欺骗干扰并恢复正确的解算结果。
  • 图  1  抗欺骗GPS接收机基带处理流程

    图  2  欺骗信号入侵及抗欺骗处理过程示意图

    图  3  基于采集真实卫星信号和仿真同步式欺骗信号的半实物欺骗反欺骗实验过程

    图  4  所构建欺骗场景下相关函数随时间的变化

    图  5  所构建欺骗场景下第1个信号分量(实际对应欺骗信号)的CCDC关系和CCDC特征量

    图  6  PRN32号星的相对幅度关系特征量

    图  7  欺骗入侵前后的载噪比异动特征量

    图  8  伪距残差特征量

    图  9  欺骗入侵前后各可见星的钟差异动特征量

    图  10  欺骗测试数据集的K-means聚类结果

    图  11  簇心到原点的距离

    图  12  定位解算的恢复结果

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出版历程
  • 收稿日期:  2023-08-02
  • 修回日期:  2023-10-30
  • 网络出版日期:  2023-11-04
  • 刊出日期:  2023-11-28

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