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惯性导航系统/测距机系统辅助的机载全球导航卫星系统欺骗式干扰自主检测算法

卢丹 赵崴震 钟伦珑

卢丹, 赵崴震, 钟伦珑. 惯性导航系统/测距机系统辅助的机载全球导航卫星系统欺骗式干扰自主检测算法[J]. 电子与信息学报, 2022, 44(9): 3195-3202. doi: 10.11999/JEIT210640
引用本文: 卢丹, 赵崴震, 钟伦珑. 惯性导航系统/测距机系统辅助的机载全球导航卫星系统欺骗式干扰自主检测算法[J]. 电子与信息学报, 2022, 44(9): 3195-3202. doi: 10.11999/JEIT210640
LU Dan, ZHAO Weizhen, ZHONG Lunlong. Airborne Global Navigation Satellite System Spoofing Interference Autonomous Detection Algorithm Based on Inertial Navigation System/Distance Measuring Equipment-Aided[J]. Journal of Electronics & Information Technology, 2022, 44(9): 3195-3202. doi: 10.11999/JEIT210640
Citation: LU Dan, ZHAO Weizhen, ZHONG Lunlong. Airborne Global Navigation Satellite System Spoofing Interference Autonomous Detection Algorithm Based on Inertial Navigation System/Distance Measuring Equipment-Aided[J]. Journal of Electronics & Information Technology, 2022, 44(9): 3195-3202. doi: 10.11999/JEIT210640

惯性导航系统/测距机系统辅助的机载全球导航卫星系统欺骗式干扰自主检测算法

doi: 10.11999/JEIT210640
基金项目: 中央高校基本科研业务费项目(3122019050),天津市自然科学基金(19JCQNJC01000)
详细信息
    作者简介:

    卢丹:女,副教授,研究方向为卫星导航抗干扰和阵列信号处理

    赵崴震:男,硕士生,研究方向为卫星导航抗干扰

    钟伦珑:男,副教授,研究方向为民航智能信息处理与自动化

    通讯作者:

    钟伦珑 zlunlong@163.com

  • 中图分类号: TN973.31

Airborne Global Navigation Satellite System Spoofing Interference Autonomous Detection Algorithm Based on Inertial Navigation System/Distance Measuring Equipment-Aided

Funds: The Fundamental Research Funds for the Central Universities (3122019050), The Natural Science Foundation of Tianjin (19JCQNJC01000)
  • 摘要: 全球导航卫星系统(GNSS)欺骗导致目标接收机生成错误的定位结果。利用惯性导航系统(INS)辅助,基于卡尔曼滤波新息序列构造卡方检验统计量是检测机载GNSS欺骗的有效手段。然而,该算法无法给出欺骗的持续时间,从而导致INS/GNSS系统无法依据该算法判断其解算的定位信息是否正确。该文结合测距机系统(DME),提出一种基于重构新息序列的有限记忆卡方检测算法。该算法使用已有的INS,GNSS和DME数据构造一种不参与卡尔曼滤波的新息序列,然后将该新息序列构造成有限记忆卡方检验统计量,从而实现对欺骗式干扰的检测。仿真表明,当机载GNSS欺骗造成250 m及以上的位置偏差时,所设计的算法能够获得较为准确的欺骗持续时间。最后,该文依据所提算法的检测结果,给出了INS/GNSS/DME系统正确的定位信息。
  • 图  1  新的检测算法原理图

    图  2  接收机有、无欺骗的东向位置误差

    图  3  基于传统新息序列的瞬时卡方检测算法

    图  4  基于重构新息序列的有限记忆卡方检测算法

    图  5  组合导航系统位置误差

    图  6  不同DME测量误差下本文算法的检测概率

    图  7  不同滑窗长度下本文算法的漏警概率

    图  8  不同滑窗长度下本文算法的检测延迟

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  • 被引次数: 0
出版历程
  • 收稿日期:  2021-06-28
  • 录用日期:  2022-01-12
  • 修回日期:  2022-01-09
  • 网络出版日期:  2022-02-02
  • 刊出日期:  2022-09-19

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