GNSS World of China
Citation: | CHENG Yuyang, PENG Xinzhi, FENG Fan, XU Yiyu, YUAN Xuelin, ZHU Xiangwei. Consistency deception detection technique for GNSS/INS based on open-closed-loop alternation[J]. GNSS World of China, 2024, 49(4): 48-55, 65. doi: 10.12265/j.gnss.2024020 |
[1] |
BOGUSPAYEV N, AKHMEDOV D, RASKALIYEV A, et al. A comprehensive review of GNSS/INS integration techniques for land and air vehicle applications[J]. Applied sciences, 2023, 13(8): 4819. DOI: 10.3390/app13084819
|
[2] |
GAO Y J, LV Z W, ZHANG L D. Two-step trajectory spoofing algorithm for loosely coupled GNSS/IMU and NIS sequence detection[J]. IEEE access, 2019(7): 96359-96371. DOI: 10.1109/ACCESS.2019.2927539
|
[3] |
CHEN C, CHANG G. Low-cost GNSS/INS integration for enhanced land vehicle performance[J]. Measurement science and technology, 2019, 31(3): 035009. DOI: 10.1088/1361-6501/ab52cb
|
[4] |
GROVES P. Principles of GNSS, inertial, and multi-sensor integrated navigation systems[M]. Engineering, Computer Science, Physics, 2007.
|
[5] |
FALCO G, PINI M, MARUCCO G. Loose and tight GNSS/INS integrations: comparison of performance assessed in real urban scenarios[J]. Sensors, 2017, 17(2): 255. DOI: 10.3390/s17020255
|
[6] |
李松, 唐小妹, 孙鹏跃, 等. GNSS/INS紧组合最大熵卡尔曼滤波算法[J]. 全球定位系统, 2020, 45(4): 1-8.
|
[7] |
HE Y, LI J C, LIU J J. Research on GNSS INS & GNSS/INS integrated navigation method for autonomous vehicles: a survey[J]. IEEE access, 2023(11): 79033-79055. DOI: 10.1109/ACCESS.2023.3299290
|
[8] |
WU Y, CHEN S, YIN T. GNSS/INS tightly coupled navigation with robust adaptive extended Kalman filter[J]. International journal of automotive technology, 2022, 23(6): 1639-1649. DOI: 10.1007/s12239-022-0142-7
|
[9] |
倪少杰, 李诗扬, 谢郁辰, 等. GNSS/INS超紧组合导航综述[J]. 国防科技大学学报, 2023, 45(5): 48-59. DOI: 10.11887/j.cn.202305006
|
[10] |
CURRAN J T, BROUMENDAN A. On the use of low-cost IMUs for GNSS spoofing detection in vehicular applications[C]//Proceedings of International Technical Symposium on Navigation and Timing, 2017: 1-8.
|
[11] |
BROUMANDAN A, LACHAPELLE G. Spoofing detection using GNSS/INS/Odometer coupling for vehicular navigation[J]. Sensors, 2018, 18(5): 1305. DOI: 10.3390/s18051305
|
[12] |
CECCATO M, FORMAGGIO F, LAURENTI N, et al. Generalized likelihood ratio test for GNSS spoofing detection in devices with IMU[J]. IEEE transactions on information forensics and security, 2021(16): 3496-3509. DOI: 10.1109/TIFS.2021.3083414
|
[13] |
LO S, CHEN Y H, REID T, et al. Keynote: The benefits of low cost accelerometers for GNSS anti-spoofing[C]//Proceedings of the ION 2017 Pacific PNT Meeting. 2017: 775-796.https://doi.org/10.33012/2017.15109
|
[14] |
DONG Y, WANG D, ZHANG L, et al. Tightly coupled GNSS/INS integration with robust sequential Kalman filter for accurate vehicular navigation[J]. Sensors, 2020, 20(2): 561. DOI: 10.3390/s20020561
|
[15] |
刘东亮, 成芳, 沈朋礼, 等. LSTM辅助车载GNSS/INS组合导航算法及性能分析[J]. 全球定位系统, 2023, 48(5): 21-31. DOI: 10.12265/j.gnss.2023111
|
[16] |
LIU Y, LI S H, FU Q W, et al. Impact assessment of GNSS spoofing attacks on INS/GNSS integrated navigation system[J]. Sensors, 2018, 18(5): 1433. DOI: 10.3390/s18051433
|
[17] |
XU R, DING M Y, QI Y, et al. Performance analysis of GNSS/INS loosely coupled integration systems under spoofing attacks[J]. Sensors, 2018, 18(12): 4108. DOI: 10.3390/s18124108
|
[18] |
吴晓倩, 卢秀山, 王胜利, 等. 一种基于改进自适应卡尔曼滤波的GNSS/INS组合导航算法[J]. 科学技术与工程, 2020, 20(3): 913-917. DOI: 10.3969/j.issn.1671-1815.2020.03.007
|
[19] |
JIANG H T, LI T, SONG D, et al. An effective integrity monitoring scheme for GNSS/INS/vision integration based on error state EKF model[J]. IEEE sensors journal, 2022, 22(7): 7063-7073. DOI: 10.1109/JSEN.2022.3154054
|
[20] |
LI S, MIKHAYLOV M, PANY T, et al. Exploring the potential of deep learning aided Kalman filter for GNSS/INS integration: a study on 2D simulation datasets[J]. IEEE transactions on aerospace and electronic systems, 2023: 1-10. DOI: 10.1109/TAES.2023.3325791
|
[21] |
WU F, LUO H Y, JIA H W, et al. Predicting the noise covariance with a multitask learning model for Kalman filter-based GNSS/INS integrated navigation[J]. IEEE transactions on instrumentation and measurement, 2020(70): 1-13. DOI: 10.1109/TIM.2020.3024357
|
[22] |
UENEY M, CLARK D E, JULIER S J. Distributed fusion of PHD filters via exponential mixture densities[J]. IEEE journal of selected topics in signal processing, 2013, 7(3): 521-531. DOI: 10.1109/JSTSP.2013.2257162
|
[23] |
YIN Z H, YANG J H, MA Y, et al. A robust adaptive extended Kalman filter based on an improved measurement noise covariance matrix for the monitoring and isolation of abnormal disturbances in GNSS/INS vehicle navigation[J]. Remote sensing, 2023, 15(17): 4125. DOI: 10.3390/rs15174125
|
[24] |
MOUSSA M, MOUSSA A, ELHABIBY M, et al. Wheel-based aiding of low-cost imu for land vehicle navigation in GNSS challenging environment[C]//IEEE 92nd Vehicular Technology Conference (VTC2020-Fall), 2020: 1-6.
|
[25] |
CHEN Q J, ZHANG Q, NIU X J. Estimate the pitch and heading mounting angles of the IMU for land vehicular GNSS/INS integrated system[J]. IEEE transactions on intelligent transportation systems, 2021, 22(10): 6503-6515. DOI: 10.1109/TITS.2020.2993052
|
[26] |
ZHAO Y W. Cubature+extended hybrid Kalman filtering method and its application in PPP/IMU tightly coupled navigation systems[J]. IEEE sensors journal, 2015, 15(12): 6973-6985. DOI: 10.1109/JSEN.2015.2469105
|
[27] |
谢钢. GPS原理与接收机设计[M]. 北京: 电子工业出版社, 2017.
|