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Yuliang Qin
Researcher at National University of Defense Technology
Publications - 161
Citations - 2479
Yuliang Qin is an academic researcher from National University of Defense Technology. The author has contributed to research in topics: Radar imaging & Radar. The author has an hindex of 21, co-authored 161 publications receiving 1735 citations.
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Orbital-Angular-Momentum-Based Electromagnetic Vortex Imaging
TL;DR: In this article, a novel radar imaging technique based on orbital angular momentum (OAM) modulation is presented, which can benefit the development of novel information-rich radar based on OAM, as well as radar target recognition.
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Generation of OAM Beams Using Phased Array in the Microwave Band
TL;DR: In this article, a system is proposed to generate vortex electromagnetic (EM) beams in the microwave band, which generates high-order vortex beams at the X-frequency band for the first time.
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Enhanced Radar Imaging Using a Complex-Valued Convolutional Neural Network
TL;DR: This letter proposes a processing framework by which a complex-valued CNN (CV-CNN) is used to enhance radar imaging and shows the superiority of the proposed method on imaging quality and computational efficiency.
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Radar Coincidence Imaging: an Instantaneous Imaging Technique With Stochastic Signals
TL;DR: An instantaneous microwave-radar imaging technique is proposed to obtain focused high-resolution images of targets without motion limitation by shortening the imaging time to even a pulse width without resolution deterioration so as to improve the performance of processing noncooperative targets and simplifying the receiver complexity.
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Super-resolution radar imaging based on experimental OAM beams
TL;DR: In this article, a super-resolution imaging technique based on the vortex electromagnetic (EM) wave, which carries orbital angular momentum (OAM), is reported, and the proof-of-concept experiment for the EM vortex imaging is conducted.