2 citations · 2 across the 11 of their papers we have counts for
7 papers · 1 filter
Cross-Room Passive WiFi Tracking: Joint Estimation of Target Trajectory and Virtual Transmitter Location
Heping Wang, Zhongqin Wang, Henk Wymeersch +1
Indoor bistatic WiFi sensing must often operate across rooms, where intervening walls block the direct line-of-sight (LOS) path between the transmitter (Tx) and receiver (Rx). Reco…
Multi-UE Networked Sensing: A New Paradigm for 6G Perceptive Mobile Networks
J. Andrew Zhang, Jingying Bao, Kai Wu +3
Networked sensing, which jointly exploits observations from multiple distributed nodes, is essential for unlocking the full sensing potential of integrated sensing and communicatio…
Rainfall Sensing via Mobile Communication Signals
Zhongqin Wang, J. Andrew Zhang, Kai Wu +1
Rainfall monitoring is important for hydrological observation, disaster warning, and environmental sensing, but conventional rain gauges and weather radars suffer from sparse deplo…
Ambiguity-Resolved Micro-Doppler Construction for Asynchronous Bistatic Sensing
Yiyi Xu, Zhongqin Wang, Kai Wu +1
Integrated sensing and communications (ISAC) can turn wireless networks into pervasive sensing platforms, but bistatic deployments are impaired by transceiver clock asynchrony, whi…
WiFi Sensing via Reservoir Computing
Heping Wang, Zhongqin Wang, J. Andrew Zhang
Practical WiFi sensing must handle clock-asynchronous links, cross-domain variation, and post-deployment updating under the limited compute budget of access point (AP), router, and…
Uplink Networked Sensing via Multiuser Correlation Exploitation
Jingying Bao, J. Andrew Zhang, Kai Wu +2
In this correspondence, we investigate networked sensing in perceptive mobile networks under a bistatic multi-transmitter single-receiver uplink topology, where multiple user equip…
Rethinking RSSI for WiFi Sensing
Zhongqin Wang, J. Andrew Zhang, Kai Wu +1
The Received Signal Strength Indicator (RSSI) is ubiquitously available on commodity WiFi devices but is commonly regarded as too coarse for fine-grained sensing. This paper revisi…