基于高度计辅助的GNSS欺骗干扰检测

doi:10.12305/j.issn.1001-506X.2024.05.03

摘要/Abstract

摘要：

气压高度计可以获得精确高程数据，且不受外界电磁干扰，利用气压高度计辅助全球导航卫星系统(global navigation satellite system, GNSS)进行欺骗检测具有显著优势。为了评估气压高度计在GNSS欺骗检测中的能力并提高检测概率，首先对系统误差进行建模分析，并利用差分整合移动平均自回归(autoregressive integrated moving average, ARIMA)模型对气压高度计和GNSS测量结果进行处理。同时，通过计算欧氏距离构建数据空间，提出一种基于移动方差的自适应门限检测方法。试验结果表明，在虚警率为10^-6的情况下，检测率达到了92%，所提方法能够在高程信息上有效监测潜在的欺骗威胁，增强了GNSS系统的可靠性。

关键词: 气压高度计, 卫星导航, 高度数据融合, 移动方差, 欺骗检测

Abstract:

The barometric altimeter can obtain accurate elevation data without being affected by external electromagnetic interference. The use of barometric altimeters to assist the global navigation satellite system(GNSS) in spoofing detection has significant advantages. In order to evaluate the ability of the barometric altimeter in GNSS spoofing detection and improve detection probability, the system error is first modeled and analyzed, and the differential integrated autoregressive moving average (ARIMA) model is used to process the barometric altimeter and GNSS measurement results. Meanwhile, a self-adaptive threshold detection method based on moving variance is proposed by calculating Euclidean distance to construct a data space. The experimental results show that with a false alarm rate of 10^-6, the detection rate reaches 92%, and the proposed method can effectively monitor potential spoofing threats on elevation information, which enhances the reliability of the GNSS system.

Key words: barometric altimeter, satellite navigation, altitude data fusion, moving variance, spoofing detection

中图分类号:

TN967.1

徐奕禹, 陈长风, 袁雪林, 陈正坤, 周志健. 基于高度计辅助的GNSS欺骗干扰检测[J]. 系统工程与电子技术, 2024, 46(5): 1484-1492.

Yiyu XU, Changfeng CHEN, Xuelin YUAN, Zhengkun CHEN, Zhijian ZHOU. GNSS spoofing jamming detection based on altimeter assistance[J]. Systems Engineering and Electronics, 2024, 46(5): 1484-1492.

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气压/kPa	高度/m
100	111
70	3 008
50	5 567
30	9 153

参数	取值
尺寸/mm	15.24×15.24×2
电压/V	2.1~3.3
量程/hPa	300~1 100
绝对精度/hPa	±1
相对精度/hPa	±0.12

数据类型	GNSS高度数据	高度计数据
原始数据	0.202 7	0.217 7
降噪后数据	0.119 4	0.150 5

w/s	AUC	w/s	AUC
20	0.794	35	0.982
25	0.877	40	0.975
30	0.959	—	—

混淆矩阵		对应结果
真值	预测值	对应结果
0	0	TN
0	1	FP
1	0	FN
1	1	TP