Research on INS/Odometer combination model to detect spoofing points in navigation coordinates
122 viewsDOI:
https://doi.org/10.54939/1859-1043.j.mst.CAPITI.2024.82-88Keywords:
INS; Odometer; GNSS; Kalman Filter.Abstract
This article presents a new method for detecting spoofing points in satellite navigation coordinates (GNSS) based on combining with the INS/Odometer model. In this article, the author presents a combined INS/Odometer model, using an 18-state Kalman filter; algorithm to detect spoofing points and method to combine GNSS with INS/Odometer to correct wrong coordinates. The INS/Odometer model allows accurate estimation of navigation parameters. Navigation coordinates from the INS/Odometer system are compared with coordinates obtained from the GPS satellite receiver to detect spoofing points in GNSS coordinates. The experiments demonstrate the correctness of the proposed algorithm.
References
[1]. Y. Jade Morton, Frank Van Diggelen, et al, “Position, navigation, and timing technologies in 21th century”, John Wiley & Sons, IEEE press (2021).
[2]. Gamba M.T., Motella B., Pini M. “Statistical test applied to detect distortions of GNSS signals”, In Proceedings of the International Conference on Localization and GNSS, pp. 1–6, (2013). DOI: https://doi.org/10.1109/ICL-GNSS.2013.6577267
[3]. Pirsiavash A., Broumandan A., Lachapelle G. “Two dimensional signal quality monitoring for spoofing detection”, In Proceedings of the ESA/ESTEC NAVITEC, pp.14–16, (2016).
[4]. Mohsen Riahi Manesh, Jonathan Kenney, et al, "Detecting GPS spoofing attacks on unmanned aerial systems", 16th Annual IEEE Consumer Communications and Networking Conference ( 2019).
[5]. Yu-Heng Chang, Yan-Ling Hwang, Chih-Wen Ou, "GPS Spoofing Defender: A Server-Side Solution to Detect Fake GPS", ACCSE 2018 (2018).
[6]. Phạm Văn Phúc, Nguyễn Quang Vịnh, Nguyễn Đức Ánh, “Định vị phương tiện ngầm trên cơ sở kết hợp thiết bị dẫn đường quán tính và thiết bị đo vận tốc theo hiệu ứng đốp le”, Hội nghị toàn quốc lần thứ 3 về tự động hóa (2015).
[7]. Xiaoying Kong, “Inertial navigation system algorithms for low cost IMU”, Department of mechanical and mechatronic engineering (2000).
[8]. Bo Wang, Jingyang Liu, Zhihong Deng, Mengyin Fu, “A Model-Free Calibration Method of Inertial Navigation System and Doppler Sensors”, IEEE Sensors Journal, Vol. 21, Issue: 2 (2021). DOI: https://doi.org/10.1109/JSEN.2020.3015845
[9]. Aboelmagd Noureldin, Tashfeen B. Karamat, Jacques Georgy, "Fundamentals of inertial navigation, satellite-based positioning and integration therein", Auflage, Chapter 2, pp. 21-63, (2012). DOI: https://doi.org/10.1007/978-3-642-30466-8_2
[10]. David Titterton, John L. Weston, “Strapdown Inertial Navigation Technology”, IET (2004). DOI: https://doi.org/10.1049/PBRA017E
[11]. Groves, Paul, “Principles of GNSS, Inertial, and Multisensor Integrated Navigation Systems”, Artech House, pp. 584–590, (2013).
[12]. Wei M., Schwarz K. P., "A discussion of models for GPS/INS integration", Y. Bock and N. Leppard (Eds.), Global Positioning, Systems: An Overview (1989). DOI: https://doi.org/10.1007/978-1-4615-7111-7_30
[13]. VM Moreno, A Pigazo, "Kalman filter: recent advances and applications", Intech (2009).
