超越传统L1 C/A：针对自主导航多频GPS接收机的先进多频欺骗特征化研究
Beyond Legacy L1 C/A: Characterizing Advanced Multi-Frequency Spoofing Against Multi-Frequency GPS Receivers for Autonomous Navigation
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中文总结 AI 辅助
本文量化了多频GPS接收机对抗相干欺骗所需的带间对齐精度，提出基于CFAR的跨频一致性检测方法，实验表明失准达0.2码片时检测概率趋近于1。
中文摘要 AI 辅助
自主车辆日益依赖跟踪现代化民用信号（如L2C、L5和L1C）以及传统GPS L1 C/A信号的高端多频GNSS接收机。尽管多频操作增强了对自然误差源的鲁棒性，但其对同步多频带欺骗攻击的抵御能力仍未得到充分表征。本文提出了一种量化带间对齐精度的方法，该方法用于评估相干欺骗器规避弹性接收机可能采用的跨频一致性监测所需的对齐精度。作为一项基础性研究，所提出的方法在受控软件定义环境中使用GPS L1 C/A和L2C信号对进行了实现和评估。该环境包括确定性信号合成、通过分数延迟滤波实现的可编程带间码偏移，以及双频GNSS-SDR接收机的处理。定义了一种频率间伪距差一致性检测器，并使用恒虚警率（CFAR）方法进行校准，在虚警概率为$10^{-3}$时产生约19米的阈值。通过使用多抽头相关器组的相关函数分析验证了信号保真度和接收机捕获能力。然后将带间码偏移从一个码片扫描到0.005码片以表征检测器性能。结果表明，完美对齐的相干攻击产生零检测概率，而检测概率随带间失准迅速增加，在0.05码片（约15米）时达到约50%，对于0.2码片或更大的偏移接近1。这些结果量化了成功相干双频欺骗所需的对齐精度，并为未来评估L5、L1C和基于硬件的多频欺骗场景建立了实用框架。
英文摘要
Autonomous vehicles increasingly rely on high-end multi-frequency GNSS receivers that track modernized civil signals, such as L2C, L5, and L1C, alongside legacy GPS L1~C/A. Although multi-frequency operation improves robustness against natural error sources, its resilience against synchronous multi-band spoofing attacks remains insufficiently characterized. This paper presents a method for quantifying the inter-band alignment accuracy required for a coherent spoofer to evade cross-frequency consistency monitoring that a resilient receiver may employ. As a foundational study, the presented method is implemented and evaluated using the GPS L1 C/A and L2C signal pair within a controlled software-defined environment. This environment encompasses deterministic signal synthesis, programmable inter-band code offsets realized through fractional-delay filtering, and processing by a dual-frequency GNSS-SDR receiver. An inter-frequency pseudorange-difference consistency detector is defined and calibrated using a constant-false-alarm-rate (CFAR) approach, yielding a threshold of approximately 19 m at a false-alarm probability of $10^{-3}$. Signal fidelity and receiver capture are verified through correlation-function analysis using a multi-tap correlator bank. The inter-band code offset is then swept from one code chip to 0.005 chips to characterize detector performance. Results show that a perfectly aligned coherent attack yields a detection probability of zero, while detection probability increases rapidly with inter-band misalignment, reaching approximately 50% at 0.05 chips (about 15 m) and approaching unity for offsets of 0.2 chips or greater. These results quantify the alignment precision required for successful coherent dual-frequency spoofing and establish a practical framework for future evaluation of L5, L1C, and hardware-based multi-frequency spoofing scenarios.
发表机构
- The University of Alabama（阿拉巴马大学）
机构由 AI 辅助整理，请以论文原文为准。
