标题： 从Wi-Fi信道状态信息中提取运动目标的距离-多普勒信息 显示英文标题

标题： Extracting Range-Doppler Information of Moving Targets from Wi-Fi Channel State Information

摘要： 本文首次提出了一种方法，通过单基地（单收发器）设置，从商用Wi-Fi信道状态信息（CSI）中提取距离和多普勒信息。由于（1）硬件不同步导致显著的相位误差，以及（2）发射（Tx）和接收（Rx）天线的近距离导致强耦合，从而掩盖了感兴趣的运动信号，因此利用未设计为全双工操作的网络接口卡（NIC）中的Wi-Fi感知CSI相位具有挑战性。我们提出了一种新的信号处理方法，通过三个关键创新来解决这两个挑战：时间偏移消除、相位对齐校正和Tx/Rx耦合抑制。我们的方法在移动目标的距离和多普勒估计中实现了厘米级精度，使用商用Intel Wi-Fi AX211 NIC进行了验证。我们的结果展示了在真实环境中成功检测和跟踪移动物体，证明了使用标准Wi-Fi数据包通信和现成硬件进行高精度传感的可行性，而无需任何修改或专用全双工能力。 显示英文摘要

摘要： This paper presents, for the first time, a method to extract both range and Doppler information from commercial Wi-Fi Channel State Information (CSI) using a monostatic (single transceiver) setup. Utilizing the CSI phase in Wi-Fi sensing from a Network Interface Card (NIC) not designed for full-duplex operation is challenging due to (1) Hardware asynchronization, which introduces significant phase errors, and (2) Proximity of transmit (Tx) and receive (Rx) antennas, which creates strong coupling that overwhelms the motion signal of interest. We propose a new signal processing approach that addresses both challenges via three key innovations: Time offset cancellation, Phase alignment correction, and Tx/Rx coupling mitigation. Our method achieves cm-level accuracy in range and Doppler estimation for moving targets, validated using a commercial Intel Wi-Fi AX211 NIC. Our results show successful detection and tracking of moving objects in realistic environments, establishing the feasibility of high-precision sensing using standard Wi-Fi packet communications and off-the-shelf hardware without requiring any modification or specialized full-duplex capabilities.