摘要: |
欺骗干扰已经成为北斗卫星导航系统安全性的一个严重威胁。针对北斗系统面临的欺骗干扰问题,建立二元假设检验模型。由于施加单一天线发射的欺骗干扰后,当前观测频点下各高俯仰角可见星的载噪比值会产生相同的变化趋势,所以基于此变化规律提出了一种利用K-means聚类算法进行分析的北斗卫星信号欺骗干扰检测方法,并给出了施加欺骗载噪比变化域的定义。最后通过在外场搭建实验环境,对实采数据进行了实验验证。实验结果表明,本方法对于欺骗功率优势≥6 dBm的大功率优势欺骗信号的检测概率可以达到95%以上,为提高接收机抗干扰能力提供了有益参考。 |
关键词: 欺骗检测 聚类 载噪比 卫星导航 抗干扰 |
DOI: |
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基金项目: |
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Beidou spoofing detection method based on synchronous variation of carrier-to-noise ratio |
MA Zhiqi,YE Hongjun,WEI Liang |
(Academy for Network & Communications of China Electronics Technology Group Corporation, Shijiazhuang 050081, China) |
Abstract: |
Spoofing has become a severe threat to the security of the Beidou navigation satellite system. Aiming at spoofing and interference issues faced by the Beidou system, a binary hypothesis testing model is established. Since the carrier-to-noise ratio of visible stars with high pitch angle at the current observation frequency will have the same variation trend after the spoofing interference transmitted by a single antenna is applied, a detection method of Beidou satellite signal spoofing interference by using K-means clustering algorithm is proposed based on this variation rule, and the definition of the variation domain of carrier-to-noise ratio after spoofing is given. Finally, by setting up the test environment in the field, the actual data are verified by experiment. The experimental results show that the detection probability of high-power advantage spoofing signals with a spoofing power advantage of no less than 6 dBm can reach over 95%, providing an useful reference for improving the anti-interference ability of the receiver. |
Key words: Spoofing detection Clustering Carrier-to-noise ratio Satellite navigation Anti-jamming |