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基于伪距差分的欺骗检测算法。

Spoofing Detection Algorithm Based on Pseudorange Differences.

机构信息

College of Artificial Intelligence, National University of Defense Technology, Changsha 410073, China.

College of Systems Engineering, National University of Defense Technology, Changsha 410073, China.

出版信息

Sensors (Basel). 2018 Sep 21;18(10):3197. doi: 10.3390/s18103197.

Abstract

Intentional spoofing interference can cause damage to the navigation terminal and threaten the security of a global navigation satellite system (GNSS). For spoofing interference, an anti-spoofing algorithm based on pseudorange differences for a single receiver is proposed, which can be used to detect simplistic and intermediate spoofing attacks, as well as meaconing attacks. Double-difference models using the pseudorange of two adjacent epochs are established followed by the application of Taylor expansion to the position relationship between the satellite and the receiver (or the spoofer). The authenticity of the signal can be verified by comparing the results of the proposed spoofing detection algorithm with the traditional least squares method. The results will differ when spoofing is present. The parameter setting of the proposed algorithm is introduced. The algorithm has the advantage of both simplicity and efficiency and needs only a single receiver and pseudorange data. A NovAtel receiver is adopted for the actual experiments. The Texas spoofing test battery (TEXBAT), as well as two other simulation experiments are used to verify the performance of the algorithm. The simulation results validate the feasibility and effectiveness of the algorithm.

摘要

蓄意欺骗干扰会对导航终端造成损害,并威胁到全球导航卫星系统(GNSS)的安全。针对欺骗干扰,提出了一种基于单接收机伪距差分的抗欺骗算法,可用于检测简单和中级欺骗攻击以及欺骗干扰攻击。建立了使用两个相邻历元伪距的双差模型,然后对卫星和接收机(或欺骗者)之间的位置关系应用泰勒展开。通过将提出的欺骗检测算法的结果与传统的最小二乘法进行比较,可以验证信号的真实性。存在欺骗时,结果会有所不同。介绍了算法的参数设置。该算法具有简单高效的优点,只需要单个接收机和伪距数据。采用 NovAtel 接收机进行实际实验。采用德克萨斯欺骗测试电池(TEXBAT)以及另外两个仿真实验来验证算法的性能。仿真结果验证了算法的可行性和有效性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8e6/6210954/a7bea4a2716a/sensors-18-03197-g001.jpg

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