Research on GNSS spoofing interference detection for multi-correlator combined power

ZHAO Shen; LIAO Yifei; LI Shiling; ZHOU Kaijun

doi:10.12265/j.gnss.2023235

Volume 49 Issue 4

Aug. 2024

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Article Navigation > GNSS World of China > 2024 > 49(4): 66-74

ZHAO Shen, LIAO Yifei, LI Shiling, ZHOU Kaijun. Research on GNSS spoofing interference detection for multi-correlator combined power[J]. GNSS World of China, 2024, 49(4): 66-74. doi: 10.12265/j.gnss.2023235

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Research on GNSS spoofing interference detection for multi-correlator combined power

doi: 10.12265/j.gnss.2023235

ZHAO Shen^{1, 2
,},
LIAO Yifei^{1
,
,},
LI Shiling^{1, 2
,},
ZHOU Kaijun^{1, 2
,}

1.
College of Intelligent Engineering and Intelligent Manufacturing, Hunan University of Technology and Business, Changsha 410205, China
2.
Xiangjiang Laboratory, Changsha 410205, China

Received Date: 2023-12-25
Accepted Date: 2023-12-25

Available Online: 2024-07-05

Abstract

Abstract

Global Navigation Satellite System (GNSS) civil signals are vulnerable to external spoofing because of their openness and vulnerability. As an effective method for spoofing detection, Signal Quality Monitoring (SQM) monitors the correlation results of early code, late code and phase code (ELP) after the receiver's tracking loop, and compares them with the correlation characteristics without spoofing to determine whether spoofing interference exists. The conventional SQM algorithm uses only three ELP information and the detection performance is limited. Therefore, a multi-correlator combined power algorithm is proposed. The weight of the output power of multiple equally spaced correlators between ELP is taken as the detection quantity, and the inverse ratio of the correlation time and the real-time code time difference is taken as the weighting coefficient. The probability distribution characteristics of the detected quantity were further analyzed, and the optimal detection threshold was determined based on the Neyman-Pearson theory. By comparing the detected quantity and the detection threshold, the existence of deception interference was determined. Based on the Scenario 4 set published by the University of Texas, the test results show that compared with typical SQM algorithms such as Ratio and ELP, the proposed algorithm has both high detection probability and fast early warning response time under different false alarm rates.
- satellite navigation,
- deceptive interference,
- code tracking loop,
- signal quality monitoring,
- Multi-correlator

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References

[1]	ISLAM S, BHUIYAN M Z H, PAAKKONEN I, et al. Impact analysis of spoofing on different-grade GNSS receivers[C]//IEEE/ION Position, Location and Navigation Symposium, 2023: 492-499. DOI: 10.1109/PLANS53410.2023.10139934
[2]	TURNER M, WIMBUSH S, ENNEKING C, et al. Spoofing detection by distortion of the correlation function[C]//IEEE/ION Position, Location and Navigation Symposium, 2020: 566-574. DOI: 10.1109/PLANS46316.2020.9110173
[3]	耿正霖, 聂俊伟, 王飞雪. GNSS抗欺骗干扰技术研究[J]. 全球定位系统, 2013, 38(4): 65-70.
[4]	谢钢. GPS原理与接收机设计[M]. 北京: 电子工业出版社, 2009: 1-13.
[5]	WU Z J, LIANG C, ZHANG Y. Blockchain-based authentication of GNSS civil navigation message[J]. IEEE transactions on aerospace and electronic systems, 2023, 59(4): 4380-4392. DOI: 10.1109/TAES.2023.3241041
[6]	任彬彬, 倪少杰, 陈飞强, 等. GNSS调零抗干扰天线的反欺骗性能分析[J]. 全球定位系统, 2021, 46(6): 30-36.
[7]	LEE Y S, YEOM J S, JUNG B C. A novel array antenna-based gnss spoofing detection and mitigation technique[C]//IEEE 20th Consumer Communications & Networking Conference (CCNC), 2023: 489-492. DOI: 10.1109/CCNC51644.2023.10060423
[8]	SAKORN C, SUPNITHI P. Calculating AGC and C/N0 thresholds of mobile for jamming detection[C]//The 18th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), 2021. DOI: 10.1109/ECTI-CON51831.2021.9454850
[9]	YANG B, TIAN M, JI Y W, et al. Research on GNSS spoofing mitigation technology based on spoofing correlation peak cancellation[J]. IEEE communications letters, 2022, 26(12): 3024-3028. DOI: 10.1109/LCOMM.2022.3204944
[10]	ZHANG X, DING C C, XIA H, et al. INS-Aided multi-antenna GNSS carrier phase double difference spoofing detection[J]. IEEE access, 2023(11): 19523-19533. DOI: 10.1109/ACCESS.2023.3247968
[11]	JAFARNIA-JAHROMI A, BROUMANDAN A, NIELSEN J, et al. GPS vulnerability to spoofing threats and a review of antispoofing techniques[J]. International journal of navigation and observation, 2012: 1-16. DOI: 10.1155/2012/127072
[12]	PHELTS R E. Multicorrelator techniques for robust mitigation of threats to GPS signal quality[D]. Palo Alto, Calif, USA: Stanford University, 2001.
[13]	MUBARAK O M, DEMPSTER A G. Performance comparison of ELP and DELP for multipath detection[C]//International Technical Meeting of the Satellite Division of the Institute of Navigation, 2009.
[14]	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
[15]	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
[16]	SUN C, CHEONG J W, DEMPSTER A G, et al. Moving variance-based signal quality monitoring method for spoofing detection[J]. GPS solutions, 2018, 22(3): 83. DOI: 10.1007/s10291-018-0745-7
[17]	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
[18]	王文益, 龚婧, 王金铭. 基于SCB方差的GNSS欺骗式干扰检测算法[J]. 系统工程与电子技术, 2021, 43(8): 2254-2262.
[19]	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.
[20]	ZHOU W L, LV Z W, DENG X, et al. A new induced GNSS spoofing detection method based on weighted second-order central moment[J]. IEEE sensors journal, 2022, 22(12): 12064-12078. DOI: 10.1109/jsen.2022.3174019
[21]	JAHROMI A J. GNSS signal authenticity verification in the presence of structural interference[D].Department of Geomatics Engineering, University of Calgary, 2013. DOI: 10.11575/PRISM/26310
[22]	JAHROMI A J, BROUMANDAN A, NIELSEN J, et al. GPS spoofer countermeasure effectiveness based on signal strength, noise power, and C/N₀ measurements[J]. International journal of satellite communications and networks, 2012, 30(4): 181-191. DOI: 10.1002/sat.1012
[23]	KHAN A M, IQBAL N, KHAN A A, et al. Detection of intermediate spoofing attack on global navigation satellite system receiver through slope based metrics[J]. The journal of navigation, 2020, 73(5): 1052-1068. DOI: 10.1017/S0373463320000168
[24]	SENGIJPTA S K. Fundamentals of statistical signal processing: estimation theory[J]. Technometrics, 1995, 37(4): 465-466. DOI: 10.1080/00401706.1995.10484391
[25]	HUMPHREYS T E, BHATTI J A, SHEPARD D P, et al. The texas spoofing test battery: toward a standard for evaluating gps signal authentication techniques[C]//International Technical Meeting of the Satellite Division of the Institute of Navigation, 2012. DOI: 10.15781/T26D5PT4X

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