most citedMeasuring Discrete Sensing Capability for ISAC via Task Mutual Information

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SP2025

RainfalLTE: A Zero-effect Rainfall Sensing System Utilizing Existing LTE Infrastructure

Pengfei Shi, Fei Shang, Haohua Du

Environmental sensing is an important research topic in the integrated sensing and communication (ISAC) system. Current works often focus on static environments, such as buildings…

eess.IV2025

RINN: One Sample Radio Frequency Imaging based on Physics Informed Neural Network

Fei Shang, Haohua Du, Dawei Yan +2

Due to its ability to work in non-line-of-sight and low-light environments, radio frequency (RF) imaging technology is expected to bring new possibilities for embodied intelligence…

eess.SP2024

The Field-based Model: A New Perspective on RF-based Material Sensing

Fei Shang, Haocheng Jiang, Panlong Yang +3

This paper introduces the design and implementation of WiField, a WiFi sensing system deployed on COTS devices that can simultaneously identify multiple wavelength-level targets pl…

cs.AR2024

Anteumbler: Non-Invasive Antenna Orientation Error Measurement for WiFi APs

Dawei Yan, Panlong Yang, Fei Shang +2

The performance of WiFi-based localization systems is affected by the spatial accuracy of WiFi AP. Compared with the imprecision of AP location and antenna separation, the imprecis…

cs.IT2024★ 1 cited

Measuring Discrete Sensing Capability for ISAC via Task Mutual Information

Fei Shang, Haohua Du, Panlong Yang +3

6G technology offers a broader range of possibilities for communication systems to perform ubiquitous sensing tasks, including health monitoring, object recognition, and autonomous…