近场XL-MIMO反向散射通信系统中环境物联网的物理层认证
PHY Authentication for Ambient IoTs in Near-Field XL-MIMO Backscatter Communication Systems
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中文总结 AI 辅助
研究近场XL-MIMO反向散射通信系统中BD认证问题，提出基于多天线架构的EW-DSK调制方案，利用接收天线提取主导PDP分量开发特征提取器及认证测试，评估方案在不同条件下的相关性能。
中文摘要 AI 辅助
本文利用近场球面波前，为超大规模多输入多输出（XL-MIMO）反向散射通信系统中的反向散射设备（BD）认证推导几何相关物理特征。提出基于多天线BD架构的二进制逐元素延迟移位键控（EW-DSK）调制方案，引入确定性、比特相关延迟以移动功率延迟分布（PDP）。利用接收天线提取的主导PDP分量，开发紧凑延迟曲率特征提取器及认证测试以减轻BD伪装攻击。通过仿真结果评估该方案在不同条件下的曲率提取精度、认证精度和欺骗成功概率。
英文摘要
This letter exploits near-field (NF) spherical wavefronts to derive geometry-dependent physical signatures for backscatter device (BD) authentication in extremely large-scale multiple-input multiple-output (XL-MIMO) backscatter communication systems. We propose a binary element-wise delay shift keying (EW-DSK) modulation scheme based on a multi-antenna BD architecture. The proposed scheme introduces a deterministic, bit-dependent delay that shifts the power delay profile (PDP) while preserving the aperture-dependent curvature induced by NF propagation. Using the dominant PDP component extracted across the receive antennas, we develop a compact delay-curvature signature extractor and a corresponding authentication test to mitigate BD impersonation attacks. Simulation results evaluate the proposed scheme in terms of curvature extraction accuracy, authentication accuracy, and spoofing success probability under different spoofer distances, signal-to-noise ratios, and effective bandwidths.
