AI 中文总结
研究利用集成感知与通信（ISAC）能力重建物体布局，通过射线追踪构建信道知识地图用于物理层认证，评估了重建误差和信道估计噪声对认证性能的影响，并使用ISAC数据集验证了该方法。
AI 中文摘要
集成感知与通信（ISAC）能够通过利用用于通信目的的无线信号来获取环境信息。在本文中我们利用此能力重建多个接收器周围物体的布局，再将射线追踪应用于重建环境以推断不同发射机位置的传播信道，从而构建信道知识地图（CKM）。CKM用于验证合法发射机的位置，针对试图从不同位置冒充它的对抗设备进行认证。该物理层认证（PLA）机制利用合法发射机近似已知的位置（如从网络中获取），将接收信号估计的信道与相应的CKM数据进行比较。我们从误报和漏检概率方面评估了ISAC引起的CKM重建误差和接收机侧信道估计噪声对PLA性能的影响。最后，使用文献中的ISAC数据集验证了所提方法。
英文摘要
Integrated sensing and communication (ISAC) enables the acquisition of environmental information by leveraging wireless signals transmitted for communication purposes. In this paper, we utilize this capability to reconstruct the layout of objects surrounding multiple receivers. Ray tracing is then applied to the reconstructed environment to infer the propagation channels for various transmitter positions, thereby constructing a channel knowledge map (CKM). The CKM is then used to verify the position of a legitimate transmitter, authenticating it against an adversarial device attempting to impersonate it from a different location. This physical layer authentication (PLA) mechanism utilizes the approximate known position of the legitimate transmitter, obtained, for instance, from the network as in cross-layer authentication, to compare the channel estimated from the received signal with the corresponding CKM data. We evaluate the impact on the PLA performance of both ISAC-induced CKM reconstruction errors and receiver-side channel estimation noise, in terms of false alarm and missed detection probabilities. Finally, the proposed approach is validated using an ISAC dataset from the literature.
CommentsSubmitted to IEEE ISAC Conf
