GNSS/INS spoofing detection method based on combined epoch innovation robustness

被引:0
|
作者
Wu W. [1 ]
Lyu Z. [1 ]
Zhou W. [1 ]
Ke Y. [1 ,2 ]
Xie Y. [1 ]
机构
[1] School of Geospatial Information, Information Engineering University, Zhengzhou
[2] 31618 Troops, Fuzhou
关键词
error tracking; robust estimation; spoofing detection; tightly coupled GNSS/INS integration;
D O I
10.13695/j.cnki.12-1222/o3.2024.04.005
中图分类号
O212 [数理统计];
学科分类号
摘要
Aiming at the problems that the traditional global navigation satellite system/inertial navigation system (GNSS/INS) innovation average robust spoofing detection algorithm has long detection delay for step spoofing and is insensitive to slow-growing slope spoofing, a GNSS/INS spoofing detection method based on combined epoch innovation robustness is proposed. The detection method combines the single epoch innovation and multi-epoch innovation average detection method to improve the detection efficiency, constructs multi-epoch equivalent weight factors to weaken the influence of deception, and detects spoofing types for classification processing. The experimental results show that the proposed method is more sensitive than the single-epoch innovation detection method and the innovation average detection method, and can detect the 10 m step spoofing that cannot be detected by the single-epoch innovation and the 0.03 m/s slope spoofing that cannot be detected by the innovation average detection method. The multi-epoch equivalent weight factor can weaken the influence of error tracking effect on the innovation before the slope deception is detected. In the multi-channel spoofing scenario, the proposed method shortens the detection delay by 21.3%, and the maximum position error and root mean square error with the real trajectory are reduced by 86.6% and 96.8% respectively by classifying spoofing. © 2024 Editorial Department of Journal of Chinese Inertial Technology. All rights reserved.
引用
收藏
页码:354 / 362
页数:8
相关论文
共 19 条
  • [1] Gao Y., Research on key technologies of satellite navigation spoofing interference, (2020)
  • [2] Liu Y, Li S, Fu Q, Et al., Analysis of Kalman filter innovation-based GNSS spoofing detection method for INS/GNSS integrated navigation system, IEEE Sensors Journal, 19, 13, pp. 5167-5178, (2019)
  • [3] Almagbile A, Wang J., Separability analysis for multiple simultaneous faults in GNSS and GNSS/INS integration systems, The 10th International Symposium on Mobile Mapping Technology (MMT2017), (2019)
  • [4] Xu R, Ding M, Meng Q, Et al., Spoofing interference identification technique of MEDLL aided GNSS/INS system, Journal of Chinese Inertial Technology, 26, pp. 223-230, (2018)
  • [5] Zhang C, Zhao X, Pang C, Et al., The influence of satellite configuration and fault duration time on the performance of fault detection in GNSS/INS integration, Sensors, 19, 9, (2019)
  • [6] Shang X, Sun F, Zhang L, Et al., INS aided GNSS spoofing identification and suppression method, Journal of Chinese Inertial Technology, 30, pp. 181-187, (2022)
  • [7] Chang H, Pang C, Zhang L, Et al., An INS-assisted BDS pseudorange rate consistency deception signal detection method, Journal of Air Force Engineering University, 23, pp. 52-58, (2022)
  • [8] Bhatti U I, Ochieng W Y., Performance of rate detector algorithms for an integrated GPS/INS systems in the presence of slowly growing error, GPS Solutions, 16, 3, pp. 293-301, (2012)
  • [9] Zhong L, Liu J, Li R, Et al., Approach for detecting soft faults in GPS/INS integrated navigation based on LS-SVM and AIME, Journal of Navigation, 70, 3, pp. 1-19, (2017)
  • [10] Zhang C, Zhao X, Pang C, Et al., Improved fault detection method based on robust estimation and sliding window test for INS/GNSS integration, Journal of Navigation, 73, 4, pp. 776-796, (2020)