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Jiangtao Huangfu

Researcher at Zhejiang University

Publications -  188
Citations -  4401

Jiangtao Huangfu is an academic researcher from Zhejiang University. The author has contributed to research in topics: Metamaterial & Antenna (radio). The author has an hindex of 33, co-authored 167 publications receiving 3788 citations. Previous affiliations of Jiangtao Huangfu include California Institute of Technology & Massachusetts Institute of Technology.

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Left-handed materials composed of only S -shaped resonators

TL;DR: The simple pattern of the inclusion, the wide left-handed frequency band exhibited, and the low losses measured indicate the superiority of this inclusion in the realization of left- handed metamaterials.
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Experimental confirmation of negative refractive index of a metamaterial composed of Ω-like metallic patterns

TL;DR: In this article, a one-dimensional metamaterial was realized using three connected Ω rings printed back-to-back and reversed on two sides of a dielectric substrate, yielding concordant results of the presence of a left-handed frequency band.
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Experimental verification of reversed Cherenkov radiation in left-handed metamaterial.

TL;DR: By using a phased electromagnetic dipole array to model a moving charged particle, the authors experimentally verified a reversed Cherenkov radiation in the left-handed media in the frequency range from 8.1 to 9.5 GHz.
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Instrument-Based Noncontact Doppler Radar Vital Sign Detection System Using Heterodyne Digital Quadrature Demodulation Architecture

TL;DR: A Doppler radar system for noncontact vital sign detection (VSD) using instruments that are generally equipped in radio-frequency and communication laboratories and designed with a heterodyne digital quadratures demodulation architecture that helps mitigate quadrature channel imbalance and eliminate the complicated dc offset calibration required for arctangent demodulating.
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Noncontact Distance and Amplitude-Independent Vibration Measurement Based on an Extended DACM Algorithm

TL;DR: Experimental validations show that the proposed algorithm can fully recover the vibration patterns with the measured noncalibrated amplitude agreeing well with the known precalibrated data, showing a wide range of potential applications of this algorithm.