185 citations · 252 across the 12 of their papers we have counts for
7 papers · 1 filter
BIFROST: Reinventing WiFi Signals Based on Dispersion Effect for Accurate Indoor Localization
Yimiao Sun, Yuan He, Jiacheng Zhang +4
WiFi-based device localization is a key enabling technology for smart applications, which has attracted numerous research studies in the past decade. Most of the existing approache…
QuinID: Enabling FDMA-Based Fully Parallel RFID with Frequency-Selective Antenna
Xin Na, Jia Zhang, Jiacheng Zhang +6
Parallelizing passive Radio Frequency Identification (RFID) reading is an arguably crucial, yet unsolved challenge in modern IoT applications. Existing approaches remain limited to…
Leggiero: Analog WiFi Backscatter with Payload Transparency
Xin Na, Xiuzhen Guo, Zihao Yu +3
Backscatter is an enabling technology for battery-free sensing in today's Artificial Intelligence of Things (AIOT). Building a backscatter-based sensing system, however, is a daunt…
Indoor Drone Localization and Tracking Based on Acoustic Inertial Measurement
Yimiao Sun, Weiguo Wang, Luca Mottola +3
We present Acoustic Inertial Measurement (AIM), a one-of-a-kind technique for indoor drone localization and tracking. Indoor drone localization and tracking are arguably a crucial,…
A Survey of mmWave Backscatter: Applications, Platforms, and Technologies
Yimiao Sun, Yuan He, Yang Zou +4
As a key enabling technology of the Internet of Things (IoT) and 5G communication networks, millimeter wave (mmWave) backscatter has undergone noteworthy advancements and brought s…
Trident: Interference Avoidance in Multi-reader Backscatter Network via Frequency-space Division
Yang Zou, Xin Na, Yimiao Sun +1
Backscatter is a key technology for battery-free sensing in industrial IoT applications. To fully cover numerous tags in the deployment area, one often needs to deploy multiple rea…
mmHRR: Monitoring Heart Rate Recovery with Millimeter Wave Radar
Ziheng Mao, Yuan He, Jia Zhang +3
Heart rate recovery (HRR) within the initial minute following exercise is a widely utilized metric for assessing cardiac autonomic function in individuals and predicting mortality…