GNSS World of China

Volume 49 Issue 4
Aug.  2024
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ZHAO Shen, HU Yong, LI Shiling, XIA Yi. Research on GNSS spoof detection method based on PCS combined with Ratio[J]. GNSS World of China, 2024, 49(4): 99-106. doi: 10.12265/j.gnss.2023234
Citation: ZHAO Shen, HU Yong, LI Shiling, XIA Yi. Research on GNSS spoof detection method based on PCS combined with Ratio[J]. GNSS World of China, 2024, 49(4): 99-106. doi: 10.12265/j.gnss.2023234

Research on GNSS spoof detection method based on PCS combined with Ratio

doi: 10.12265/j.gnss.2023234
  • Received Date: 2023-12-21
    Available Online: 2024-07-08
  • A spoofing detection algorithm based on power combind with signal quality montoring(PCS) combind with Ratio(PCSR) is proposed to improve the performance of spoofing detection, in response to the problem of high fluctuation in the detection performance of PCS during the traction stage. The fusion process of the PCSR algorithm uses a weighting factor to linearly weight the amplitudes of the processed PCS and Ratio, and adjusts the contribution of PCS and Ratio to PCSR by changing the weighting factor.The experiment used data scenario 4 (DS4) of texas spoofing test battery (TEXBAT) from the University of Texas at Austin as the dataset to compare and analyze the deception detection performance of PCS, Ratio, and PCSR algorithms. The experimental results show that PCSR has higher detection probability and accuracy, better immediacy and robustness, and a wider detection range. The proposed PCSR algorithm combines the advantages of both PCS and Ratio algorithms and has better spoofing detection performance.

     

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  • [1]
    常志巧, 辛洁, 时鑫, 等. GPS导航电文核心定位参数发展演变分析[J]. 全球定位系统, 2021, 46(6): 37-43. DOI: 10.12265/j.gnss.2021070501
    [2]
    周志健, 冉承新, 戴志强, 等. GNSS直接位置估计技术综述[J]. 全球定位系统, 2023, 48(2): 10-21. DOI: 10.12265/j.gnss.2022199
    [3]
    刘清秀, 程玉, 王国栋, 等. 北斗卫星导航欺骗与抗欺骗技术现状探讨[J]. 导航与控制, 2021, 20(4): 24-32. DOI: 10.3969/j.issn.1674-5558.2021.04.003
    [4]
    刘丁浩, 吕晶, 马蕊, 等. 卫星导航系统欺骗与抗欺骗技术研究与展望[J]. 通信技术, 2017, 50(5): 837-843. DOI: 10.3969/j.issn.1002-0802.2017.05.001
    [5]
    钟伦珑, 刘炅坡, 刘永玉. 基于误差估值累加开环校正的诱导式欺骗检测方法[J]. 电信科学, 2022, 38(9): 116-128. DOI: 10.11959/j.issn.1000-0801.2022261
    [6]
    朱瑞晨, 王文益. 基于SCS的多星联合诱导式欺骗检测算法[J]. 现代电子技术, 2023, 46(11): 1-8.
    [7]
    FABIAN R, YU-HSUAN C, SHERMAN H L, et al. GNSS spoofing detection through spatial processing[J]. Navigation, 2021, 68(2): 234-258. DOI: 10.1002/navi.420
    [8]
    NIELSEN J, BROUMANDAN A, LACHAPELLE G. GNSS spoofing detection for single antenna handheld receivers[J]. Navigation, 2011, 58(4): 335-344. DOI: 10.1002/j.2161-4296.2011.tb02590.x
    [9]
    CHEN J J, XU Y, YUAN H, et al. A new GNSS spoofing detection method using two antennas[J]. IEEE access, 2020(8): 110738-110747. DOI: 10.1109/ACCESS.2020.3002804
    [10]
    MAGIERA J. A multi-antenna scheme for early detection and mitigation of intermediate GNSS spoofing[J]. Sensors, 2019, 19(10): 2411. DOI: 10.3390/s19102411
    [11]
    LARISA A D, LEMIESZEWSKI L S, CCHIN E F. GNSS spoofing detection using static or rotating single-antenna of a static or moving victim[J]. IEEE access, 2018(6): 79074-79081. DOI: 10.1109/ACCESS.2018.2879718
    [12]
    GU N Z, XING F, YOU Z. GNSS spoofing detection based on coupled visual/inertial/GNSS Navigation System[J]. Sensors, 2021, 21(20): 6769. DOI: 10.3390/s21206769
    [13]
    TAO H Q, WU H, LI H, et al. GNSS spoofing detection based on consistency check of velocities[J]. Chinese journal of electronics, 2019, 28(2): 437-444. DOI: 10.1049/cje.2019.01.006
    [14]
    LI J Z, ZHU X W, OUYANG M J, et al. GNSS spoofing detection technology based on doppler frequency shift difference correlation[J]. Measurement science and technology, 2022, 33(9): 732-741. DOI: 10.1088/1361-6501/ac672a
    [15]
    WANG W Y, LI N, WU R B, et al. Detection of induced GNSS spoofing using S-Curve-Bias[J]. Sensors, 2019, 19(4): 922. DOI: 10.3390/s19040922
    [16]
    ZHANG X R, LI H, YANG C, et al. Signal quality monitoring-based spoofing detection method for Global Navigation Satellite System vector tracking structure[J]. IET radar, sonar & navigation, 2020, 14(6): 944-953. DOI: 10.1049/iet-rsn.2020.0021
    [17]
    SUN C, CHEONG J W, DEMPSTER A G, et al. Robust spoofing detection for GNSS instrumentation using Q-Channel signal quality monitoring metric[J]. IEEE transactions on instrumentation and measurement, 2021(70): 1-15. DOI: 10.1109/TIM.2021.3102753
    [18]
    PHELTS R E. Multicorrelator techniques for robust mitigation of threats to GPS signal quality[D]. California: Stanford University, 2001.
    [19]
    MUBARAK O M, DEMPSTER A G. Analysis of early late phase in single-and dual-frequency GPS receivers for multipath detection[J]. GPS solutions, 2010, 14(4): 381-388. DOI: 10.1007/s10291-010-0162-z
    [20]
    SUN C, CHEONG J W, DEMPSTER A G, et al. GNSS spoofing detection by means of signal quality monitoring (SQM) metric combinations[J]. IEEE access, 2018(6): 66428-66441. DOI: 10.1109/ACCESS.2018.2875948
    [21]
    DEHGHANIAN V, NIELSEN J, LACHAPELLE G. GNSS spoofing detection based on signal power measurements: statistical analysis[J]. International journal of navigation and observation, 2012(2012): 313527. DOI: 10.1155/2012/313527
    [22]
    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(3): 505-515.
    [23]
    MANFREDINI E G, DOVIS F, MOTELLA B. Validation of a signal quality monitoring technique over a set of spoofed scenarios[C]//2014 7th ESA Workshop on Satellite Navigation Technologies and European Workshop on GNSS Signals and Signal Processing (NAVITEC) , 2014.
    [24]
    王文益, 龚婧. 基于复合SQM方差的GNSS欺骗式干扰检测算法[J]. 中国民航大学学报, 2020, 38(4): 7-12.
    [25]
    龚婧. 基于SQM方差的单天线GNSS欺骗式干扰检测算法的研究[D]. 天津: 中国民航大学, 2020.
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