Performance Analysis of Direct GPS Spoofing Detection Method with AHRS/Accelerometer

Performance Analysis of Direct GPS Spoofing Detection Method with AHRS/Accelerometer
复制标题

DOI:
10.3390/s20040954
复制
发表时间:
2020-02-01
期刊:
影响因子:
3.9
通讯作者:
Shim, Duk-Sun
Shim, Duk-Sun
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Kwon, Keum-Cheol;Shim, Duk-Sun

文献摘要

被引文献

相似文献

全球定位系统(GPS)是提供定位能力的基本技术,并且用于诸如导航、勘测、地图绘制、机器人同时定位和地图绘制(SLAM)、基于位置的服务(LBS)等的各种应用中。然而,已知GPS由于其简单的信号结构而容易受到诸如欺骗的故意攻击。本文提出了一种利用航姿参考系统(AHRS)加速度计直接检测GPS欺骗信号的方法,并利用概率密度函数(PDF)分析了检测性能。GPS接收器和加速度计之间的加速度差用于检测欺骗。加速度误差的幅度可以用作决策变量。此外,提出了使用加速度误差的北(或东)分量的大小作为另一个决策变量,这在某些情况下表现出更好的性能。通过计算欺骗检测的概率和可检测的最小欺骗加速度(DMSA),给出了预定义的虚警概率和预定义的检测概率的两个决策变量的性能进行比较。事实证明,这两个决策变量需要一起使用,以获得最佳的欺骗检测性能。
The global positioning system (GPS) is an essential technology that provides positioning capabilities and is used in various applications such as navigation, surveying, mapping, robot simultaneous localization and mapping (SLAM), location-based service (LBS), etc. However, the GPS is known to be vulnerable to intentional attacks such as spoofing because of its simple signal structure. In this study, a direct method is proposed for GPS spoofing detection, using Attitude and Heading Reference System (AHRS) accelerometer and analyzing the detection performance with corresponding probability density functions (PDFs). The difference in the acceleration between the GPS receiver and the accelerometer is used to detect spoofing. The magnitude of the acceleration error may be used as a decision variable. Additionally, using the magnitude of the north (or east) component of the acceleration error as another decision variable is proposed, which shows better performance in some conditions. The performance of the two decision variables is compared by calculating the probability of spoofing detection and the detectable minimum spoofing acceleration (DMSA), given a pre-defined false alarm probability and a pre-defined detection probability. It turns out that both decision variables need to be used together to obtain the best spoofing detection performance.