突破无线传感亚波长精度瓶颈，实现毫米级非接触感知
Pushing Bistatic Wireless Sensing toward High Accuracy at the Sub-Wavelength Scale
- 通过量化畸变比与理想信道的关系，重建亚波长位移特征
- 在Wi-Fi和LoRa上实测，精度提升近10倍，可分辨毫米级微动
- 适合需要高精度非接触感知的智能安防、健康监测场景
利用无线通信信号进行无接触感知因其非侵入性和广泛基础设施而受到关注。然而，无线通信固有的双基地部署导致时钟不同步，引入未知相位偏移，影响信道响应的精细感知。现有系统普遍采用交叉天线信道比来消除这些有害相位偏移，但仅在整波长目标位移下保持感知特征精度，丧失亚波长保真度。为此，我们首次推导出畸变比特征与理想信道特征之间的定量映射关系。基于此，提出一种鲁棒框架，利用信道响应幅度从畸变比中恢复理想信道特征。真实世界实验在Wi-Fi和LoRa平台上验证，本方法能有效重建亚波长位移细节，精度接近提升一个数量级。
原文摘要 · Abstract (English)
Contactless sensing using wireless communication signals has garnered significant attention due to its non-intrusive nature and ubiquitous infrastructure. Despite the promise, the inherent bistatic deployment of wireless communication introduces clock asynchronism, which leads to unknown phase offsets in channel response and hinders fine-grained sensing. State-of-the-art systems widely adopt the cross-antenna channel ratio to cancel these detrimental phase offsets. However, the channel ratio preserves sensing feature accuracy only at integer-wavelength target displacements, losing sub-wavelength fidelity. To overcome this limitation, we derive the first quantitative mapping between the distorted ratio feature and the ideal channel feature. Building on this foundation, we develop a robust framework that leverages channel response amplitude to recover the ideal channel feature from the distorted ratio. Real-world experiments across Wi-Fi and LoRa demonstrate that our method can effectively reconstruct sub-wavelength displacement details, achieving nearly an order-of-magnitude improvement in accuracy.
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