Research on GNSS spoof detection method based on PCS combined with Ratio
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摘要: 针对功率监测与信号质量监测(signal quality monitoring，SQM)融合(power combined with SQM，PCS)的欺骗检测算法的检测性能在牵引阶段波动性大的问题，提出一种基于PCS与Ratio融合(PCSR)的欺骗检测算法，以改善检测性能. PCSR算法的融合过程使用加权因子将处理后的PCS与Ratio两者的幅值进行线性加权，并通过改变加权因子调整PCS和Ratio对PCSR的贡献. 实验使用美国德克萨斯大学奥斯汀分校的欺骗测试数据集(texas spoofing test battery，TEXBAT)的场景4(data scenario 4，DS4)数据集，比较并分析PCS、Ratio和PCSR算法的欺骗检测性能. 实验结果表明： PCSR具有更高检测概率、检测精度、更好的即时性和稳健性以及更宽检测范围. 提出的PCSR算法兼顾PCS和Ratio两种算法的优点，拥有更优的欺骗检测性能.
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关键词:
- 欺骗检测 /
- 信号质量监测(SQM) /
- 检测概率 /
- 检测精度 /
- 欺骗检测性能
Abstract: A spoofing detection algorithm based on power combind with signal quality montoring(PCS) combind with Ratio(PCSR) is proposed to improve the performance of spoofing detection, in response to the problem of high fluctuation in the detection performance of PCS during the traction stage. The fusion process of the PCSR algorithm uses a weighting factor to linearly weight the amplitudes of the processed PCS and Ratio, and adjusts the contribution of PCS and Ratio to PCSR by changing the weighting factor.The experiment used data scenario 4 (DS4) of texas spoofing test battery (TEXBAT) from the University of Texas at Austin as the dataset to compare and analyze the deception detection performance of PCS, Ratio, and PCSR algorithms. The experimental results show that PCSR has higher detection probability and accuracy, better immediacy and robustness, and a wider detection range. The proposed PCSR algorithm combines the advantages of both PCS and Ratio algorithms and has better spoofing detection performance. -
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