基于决策融合的GNSS欺骗干扰检测性能分析

PERFORMANCE ANALYSIS OF SPOOFING DETECTION BASED ON DECISION FUSION

欺骗干扰是一种旨在迫使GNSS接收机得到错误导航信息的蓄意攻击。卫星导航接收机需要及时且准确检测出现的欺骗干扰信号。本文借鉴认知无线电中协作频谱感知的思想,提出了一种基于决策融合的卫星导航欺骗干扰检测算法。首先采用能量检测算法,分析并推导了单个检测器在瑞利衰落信道下的卫星导航欺骗干扰检测性能,然后应用K/N准则的决策融合方法以进一步改善欺骗干扰的检测性能。仿真结果表明:当SINR=-10 d B时,检测概率比单次检测概率平均提高了16.60%。

Spoofing is a deliberate interference that aims to coerce GNSS receivers into generating false position / navigation solutions.The satellite navigation receiver need to detect spoofing signal in time and correctly. This paper proposes a novel detection algorithm of satellite navigation spoofing based on decision fusion,which refer to the collaborative spectrum sensing in Cognitive Radio( CR). The detection performance of satellite navigation spoofing in Rayleigh fading channel was researched and deducted using the energy detection algorithm. The detection performance was improved in the decision fusion center using the K / N rule. The simulation results show that the fused detection probability increased 16. 60% on average than a single detection probability in the case of.