发表机构
Department of Electrical Engineering (ESAT), KU Leuven; Imec（荷语鲁汶大学电气工程系; imec研究所）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
针对商业毫米波Wi-Fi感知中数据包级CIR测量不稳定问题，提出802.11ad测试平台及延迟对齐与相对相位校准方法，提升波形相关性和呼吸率精度。
AI 中文摘要
基于IEEE 802.11ad/ay的商业毫米波（mmWave）Wi-Fi平台已展示出感知能力，但它们对决定时间相干性的数据包级测量和同步机制的可见性有限。我们提出了一个可编程的60 GHz IEEE 802.11ad测试平台，该平台为每个检测到的数据包暴露完整的复杂128抽头信道冲激响应（CIR）。这种访问暴露了数据包间延迟偏移和公共相位漂移，而商业收发器研究通常不表征这些。我们开发了一种延迟轮廓对齐方法，并定义了一个静态参考相对CIR相位，该相位在保留目标引起的变异的同时消除公共漂移。我们使用30秒呼吸感知来评估亚波长运动跟踪的长期相位稳定性。在39个记录中，中位绝对波形相关性从0.41（时间戳正则化）增加到0.52（延迟对齐）和0.61（相对相位校准）；呼吸率平均绝对误差从5.1降低到4.1和3.6次呼吸/分钟。结果展示了在完全可编程物理层上对通信原生WiGig CIR测量进行受控表征和稳定化。
英文摘要
Commercial millimetre-wave (mmWave) Wi-Fi platforms based on IEEE 802.11ad/ay have demonstrated sensing capabilities, but they provide limited visibility into the packet-level measurements and synchronisation mechanisms that determine temporal coherence. We present a programmable 60~GHz IEEE 802.11ad testbed that exposes the complete complex 128-tap channel impulse response (CIR) for every detected packet. This access exposes packet-to-packet delay shifts and common phase drift that commercial-transceiver studies generally do not characterise. We develop a delay-profile alignment method and define a static-reference relative CIR phase that cancels common drift while preserving target-induced variation. We use 30~s respiration sensing to evaluate long-term phase stability for sub-wavelength motion tracking. Across 39 recordings, median absolute waveform correlation increases from 0.41 (timestamp regularised) to 0.52 (delay aligned) and 0.61 (relative-phase calibrated); breathing-rate mean absolute error decreases from 5.1 to 4.1 and 3.6~breaths/min. The results demonstrate controlled characterisation and stabilisation of communication-native WiGig CIR measurements on a fully programmable physical layer.
