47 citations · 89 across the 7 of their papers we have counts for
7 papers
Learning-Driven Channel Representation for Wireless Localization: From Channel Observations to Location Inference
Hongyu Xie, Chenglong Li, Xinming Huang +4
Wireless observations capture radio signal responses formed through interactions with propagation environments and spatial geometry. In integrated sensing and communication, such o…
Soft Multipath Information-Based UWB Tracking in Cluttered Scenarios: Preliminaries and Validations
Chenglong Li, Zukun Lu, Long Huang +4
In this paper, we investigate ultra-wideband (UWB) localization and tracking in cluttered environments. Instead of mitigating the multipath, we exploit the specular reflections to…
Ubiquitous Indoor Fine-Grained Positioning and Tracking: A Channel Response Perspective
Chenglong Li, Emmeric Tanghe, Sofie Pollin +1
The future of location-aided applications is shaped by the ubiquity of Internet-of-Things devices. As an increasing amount of commercial off-the-shelf radio devices support channel…
Contact-Free Multi-Target Tracking Using Distributed Massive MIMO-OFDM Communication System: Prototype and Analysis
Chenglong Li, Sibren De Bast, Yang Miao +3
Wireless-based human activity recognition has become an essential technology that enables contact-free human-machine and human-environment interactions. In this paper, we consider…
Multi-Static UWB Radar-based Passive Human Tracking Using COTS Devices
Chenglong Li, Emmeric Tanghe, Jaron Fontaine +5
Due to its high delay resolution, the ultra-wideband (UWB) technique has been widely adopted for fine-grained indoor localization. Instead of active positioning, UWB radar-based pa…
Towards Fine-Grained Indoor Localization based on Massive MIMO-OFDM System: Experiment and Analysis
Chenglong Li, Sibren De Bast, Emmeric Tanghe +2
Fine-grained indoor localization has attracted attention recently because of the rapidly growing demand for indoor location-based services (ILBS). Specifically, massive (large-scal…
Phase-based Variant Maximum Likelihood Positioning for Passive UHF-RFID Tags
Chenglong Li, Emmeric Tanghe, David Plets +6
Radio frequency identification (RFID) technology brings tremendous advancement in Internet-of-Things, especially in supply chain and smart inventory management. Phase-based passive…