用普通路由器检测移动目标的远近和速度，精度达厘米级。
Extracting Range-Doppler Information of Moving Targets from Wi-Fi Channel State Information
- 通过时偏补偿、相位校准和收发耦合抑制解决硬件误差问题。
- 在真实环境中实现厘米级距离与多普勒精度，无需改装设备。
- 适合做低成本高精度无线感知，如智能家居或安防监控。
本文首次提出一种基于单收发器（单设备）架构的方案，从商用Wi-Fi信道状态信息（CSI）中提取运动目标的径向距离与多普勒信息。由于（1）硬件异步导致显著相位误差，以及（2）收发天线距离过近造成强耦合信号掩盖目标运动信号，传统方法难以实现高精度测量。为此，我们提出一种新信号处理方法，包含时偏抵消、相位对齐校正与收发耦合抑制三项核心技术。实验采用商用Intel Wi-Fi AX211网卡验证，结果表明该方法在真实环境中实现了厘米级距离与多普勒估计精度，成功完成移动物体的探测与跟踪。研究证明，仅通过标准Wi-Fi通信协议与现成硬件即可实现高精度传感，无需额外修改或专用全双工能力。
原文摘要 · Abstract (English)
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.
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