scispace - formally typeset
Y

Yao Peng

Researcher at Northwest University (China)

Publications -  9
Citations -  343

Yao Peng is an academic researcher from Northwest University (China). The author has contributed to research in topics: Distributed antenna system & Wireless power transfer. The author has an hindex of 5, co-authored 9 publications receiving 180 citations.

Papers
More filters
Proceedings ArticleDOI

PLoRa: a passive long-range data network from ambient LoRa transmissions

TL;DR: PLoRa takes ambient LoRa transmissions as the excitation signals, conveys data by modulating an excitation signal into a new standard LoRa "chirp" signal, and shifts this new signal to a different LoRa channel to be received at a gateway faraway.
Journal ArticleDOI

Human Behavior Recognition Using Wi-Fi CSI: Challenges and Opportunities

TL;DR: This article comprehensively review the state-of-art of HBR, based on the two techniques that drove recent progress in Wi-Fi channel-state-information-based HBR -- fingerprint-based and model-based, and provides a performance comparison of the two mechanisms.
Proceedings ArticleDOI

Towards Flexible Wireless Charging for Medical Implants Using Distributed Antenna System

TL;DR: In-N-Out can continuously charge a medical implant residing in deep tissues at near-optimal beamforming power, even when the implant moves around inside the human body, and is sufficient to wirelessly power a range of commercial medical devices.
Proceedings ArticleDOI

Towards flexible wireless charging for medical implants using distributed antenna system

TL;DR: In-N-Out as mentioned in this paper, a software-hardware solution for far-field wireless power transfer, can continuously charge a medical implant residing in deep tissues at near-optimal beamforming power, even when the implant moves around inside the human body.
Journal ArticleDOI

R&P: An Low-Cost Device-Free Activity Recognition for E-Health

TL;DR: R&P, a device-free activity recognition system only using cheap radio frequency identification devices (RFID) tags is introduced, based on the analysis of RFID signals, where received signal strength fingerprints and phase fingerprints for each activity are extracted and synthesized to accurately recognize activities.