Z
Zhaoxin Chang
Researcher at Peking University
Publications - 11
Citations - 144
Zhaoxin Chang is an academic researcher from Peking University. The author has contributed to research in topics: Computer science & Engineering. The author has an hindex of 2, co-authored 5 publications receiving 31 citations. Previous affiliations of Zhaoxin Chang include Telecom SudParis & Information Technology Institute.
Papers
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Journal ArticleDOI
Exploring LoRa for Long-range Through-wall Sensing
TL;DR: In this paper, the authors explore the sensing capability of LoRa, both theoretically and experimentally, and propose novel techniques to increase LoRa sensing range to over 25 meters for human respiration sensing.
Journal ArticleDOI
Unlocking the Beamforming Potential of LoRa for Long-range Multi-target Respiration Sensing
TL;DR: In this article, the authors proposed a spatial beamforming method to enable long-range multi-target reparation with LoRa, which can monitor the respiration rates of five human targets simultaneously at an average accuracy of 98.1%.
Proceedings ArticleDOI
A Fresnel Diffraction Model Based Human Respiration Detection System Using COTS Wi-Fi Devices
TL;DR: This work proposes a diffraction-based sensing model to investigate how to effectively sense human respiration in FFZ, and deploys the system using COTS Wi-Fi devices to observe that the respiration sensing results match the theoretical model well.
Journal ArticleDOI
Sensor-free Soil Moisture Sensing Using LoRa Signals
TL;DR: This paper utilizes wide-area LoRa signals to sense soil moisture without a need of dedicated soil moisture sensors, and develops a delicate chirp ratio approach to cancel out the phase offset caused by transceiver unsynchronization to extract accurate phase information.
Proceedings ArticleDOI
Experience: pushing indoor localization from laboratory to the wild
Jiazhi Ni,Fusang Zhang,Jie Xiong,Qiang Huang,Zhaoxin Chang,Junqi Ma,Binbin Xie,Pengsen Wang,Guangyu Bian,Xin Li,Changpin Li +10 more
TL;DR: In this article , the authors share their 5-year experience on the design, development and evaluation of a large-scale WiFi indoor localization system and address practical challenges encountered to bridge the gap between indoor localization research in the laboratory and system deployment in the wild.