A Covert Spoofing Algorithm for SINS/GNSS Tightly Integrated Navigation System

IF 6.4 2区计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS IEEE Transactions on Automation Science and Engineering Pub Date : 2024-08-12 DOI:10.1109/TASE.2024.3439544

Xingshou Geng;Yan Guo;Kanghua Tang;Wenqi Wu;Yanchao Ren;Guodong Duan

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Abstract

In order to solve the spoofing problem of SINS/GNSS tightly integrated navigation system with inertial assist spoofing detection module, this paper proposes a covert spoofing algorithm for SINS/GNSS tightly integrated navigation system. Firstly, the influence mechanism of the GNSS spoofing signal on the innovation and state estimation parameters of the SINS/GNSS tightly integrated navigation system is analyzed, and then the GNSS spoofing signal model is established with the constraint condition of the influence of the GNSS spoofing signal on the innovation and state estimation parameters of the SINS/GNSS tightly integrated navigation system. Secondly, the mathematical model of covert spoofing is constructed by using the GNSS spoofing signal model. Finally, SINS/GNSS tightly integrated navigation system is spoofed by GNSS spoofing signal generated according to the mathematical model of covert spoofing. Note to Practitioners—The motivation of this paper is to solve the spoofing problem of SINS/GNSS tightly integrated navigation system, so as to realize the control of the illegal unmanned platform equipped with tightly integrated navigation system. The existing spoofing methods are easily detected by the spoofing detection module, and it is difficult to meet the spoofing requirements of SINS/GNSS tightly integrated navigation system equipped with inertial aided spoofing detection module. This paper proposes a covert spoofing algorithm. Firstly, the influence mechanism of GNSS spoofing signal on SINS/GNSS tightly integrated navigation system is analyzed. Then, the mathematical model of covert spoofing is established by taking the influence of GNSS spoofing signal on the innovation parameter and state estimation parameters of SINS/GNSS tightly integrated navigation system as the constraint condition. Finally, the GNSS spoofing signal generated by the covert spoofing mathematical model is used to spoof the SINS/GNSS tightly integrated navigation system. Simulation and experimental results verify the effectiveness and correctness of the proposed method. In the future research, we will further promote the experiment and application of spoofing technology in the control of various illegal unmanned platforms.

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用于 SINS/GNSS 紧密集成导航系统的隐蔽欺骗算法

为了解决具有惯性辅助欺骗检测模块的SINS/GNSS紧密结合导航系统的欺骗问题，本文提出了一种用于SINS/GNSS紧密结合导航系统的隐蔽欺骗算法。首先分析了GNSS欺骗信号对SINS/GNSS紧密结合导航系统创新参数和状态估计参数的影响机理，然后以GNSS欺骗信号对SINS/GNSS紧密结合导航系统创新参数和状态估计参数的影响为约束条件，建立了GNSS欺骗信号模型。其次，利用GNSS欺骗信号模型，建立隐蔽欺骗的数学模型；最后，根据隐蔽欺骗数学模型生成的GNSS欺骗信号对SINS/GNSS紧密结合导航系统进行欺骗。从业人员注意：本文的动机是为了解决SINS/GNSS紧密结合导航系统的欺骗问题，从而实现对配备紧密结合导航系统的非法无人平台的控制。现有的欺骗干扰方法容易被欺骗检测模块检测到，难以满足配备惯性辅助欺骗检测模块的SINS/GNSS紧密结合导航系统的欺骗干扰要求。提出了一种隐蔽欺骗算法。首先，分析了GNSS欺骗信号对SINS/GNSS紧密组合导航系统的影响机理。然后，以GNSS欺骗信号对SINS/GNSS紧密组合导航系统创新参数和状态估计参数的影响为约束条件，建立隐蔽欺骗的数学模型；最后，利用隐蔽欺骗数学模型产生的GNSS欺骗信号对SINS/GNSS紧密组合导航系统进行欺骗。仿真和实验结果验证了该方法的有效性和正确性。在未来的研究中，我们将进一步推进欺骗技术在各种非法无人平台控制中的实验与应用。

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来源期刊

IEEE Transactions on Automation Science and Engineering 工程技术-自动化与控制系统

CiteScore

12.50

自引率

14.30%

发文量

404

审稿时长

3.0 months

期刊介绍： The IEEE Transactions on Automation Science and Engineering (T-ASE) publishes fundamental papers on Automation, emphasizing scientific results that advance efficiency, quality, productivity, and reliability. T-ASE encourages interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, operations research, and other fields. T-ASE welcomes results relevant to industries such as agriculture, biotechnology, healthcare, home automation, maintenance, manufacturing, pharmaceuticals, retail, security, service, supply chains, and transportation. T-ASE addresses a research community willing to integrate knowledge across disciplines and industries. For this purpose, each paper includes a Note to Practitioners that summarizes how its results can be applied or how they might be extended to apply in practice.