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Extracting Range-Doppler Information of Moving Targets from Wi-Fi Channel State Information
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本文首次提出一种从商用Wi-Fi信道状态信息中提取范围和多普勒信息的方法,通过时间偏移消除、相位对齐校正和发射/接收耦合缓解三大创新,实现厘米级精度的移动目标范围和多普勒估计,验证了使用标准Wi-Fi数据包通信和商用硬件进行高精度感知的可行性。

arXiv:2508.02799v1 Announce Type: cross Abstract: 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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Wi-Fi CSI 范围与多普勒信息提取 信号处理
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