Zobrazeno 1 - 10
of 105
pro vyhledávání: '"Tan, Qu"'
Publikováno v:
Photonics, Vol 10, Iss 12, p 1357 (2023)
Due to its orbital angular momentum (OAM), optical vortex has been widely used in communications and LIDAR target detection. The OAM mode recognition based on deep learning is mostly based on the basic convolutional neural network. To ensure high-pre
Externí odkaz:
https://doaj.org/article/8a89f8e66f844d6482612652531e8908
Publikováno v:
Photonics, Vol 10, Iss 11, p 1182 (2023)
To improve the robustness of vortex beam transmission and detection in the face of atmospheric turbulence and to guarantee accurate recognition of orbital angular momentum (OAM), we present an end-to-end dynamic compensation technique for vortex beam
Externí odkaz:
https://doaj.org/article/aebd2108d56e445c89de3c99286ec43b
Autor:
Zhe Wu, Jiaji Wu, Tan Qu, Zhensen Wu, Qiang Xu, Haiying Li, Lin Yang, Xiangshuai Meng, Jing Bai
Publikováno v:
IEEE Access, Vol 10, Pp 126023-126029 (2022)
Based on the excellent and broad prospect of the vortex beams in military application, it is necessary to evaluate the scattering characteristics of classical Bessel beam upon a perfect electrical conductor (PEC) blunt cone model of aircraft structur
Externí odkaz:
https://doaj.org/article/77c62a63f8da429aa55941ce53738d18
Publikováno v:
Remote Sensing, Vol 14, Iss 18, p 4515 (2022)
At present, 5G base stations are densely distributed in major cities based on improving user concentrations and the large demand for services in urban hotspot areas. Moreover, 5G communication requires more accurate communication propagation loss (PL
Externí odkaz:
https://doaj.org/article/cd539cb10b2349f8afcc7e07db622e7b
Mode Recognition of Orbital Angular Momentum Based on Attention Pyramid Convolutional Neural Network
Publikováno v:
Remote Sensing, Vol 14, Iss 18, p 4618 (2022)
In an effort to address the problem of the insufficient accuracy of existing orbital angular momentum (OAM) detection systems for vortex optical communication, an OAM mode detection technology based on an attention pyramid convolution neural network
Externí odkaz:
https://doaj.org/article/ec4d0e7465c54ec89e181e84b54aca45
Publikováno v:
Remote Sensing, Vol 14, Iss 11, p 2694 (2022)
Inverse synthetic aperture LiDAR (ISAL) breaks through the limitations of the diffraction limit and achieves ultra-long-distance radar imaging with centimeter-level resolution. However, because ISAL obtains a high resolution, it is accompanied by a h
Externí odkaz:
https://doaj.org/article/5f52d4c4d6ee4d0ca1f040f2dc7f8708
Autor:
Zhe Wu, JiaJi Wu, HaiYing Li, Tan Qu, XiangShuai Meng, Qiang Xu, ZhenSen Wu, Jing Bai, Lin Yang, Lei Gong, Yu Yun
Publikováno v:
IEEE Antennas and Wireless Propagation Letters. 21:1288-1292
Publikováno v:
Remote Sensing, Vol 12, Iss 14, p 2259 (2020)
Aurora, the spectacular phenomenon commonly occurring in high latitudes, is caused by the precipitation of energetic particles penetrating the Earth’s atmosphere. Being the result of solar-terrestrial interactions, electron precipitation significan
Externí odkaz:
https://doaj.org/article/9e14c8cb9b174e9ebc6f1657776d01a5
Akademický článek
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Publikováno v:
Journal of Real-Time Image Processing. 18:1301-1308
With the development of SAR imaging, the efficiency and rapidity of imaging algorithms have always been a research direction, and real-time imaging is a reflection of the speed of the imaging algorithm. For missile-borne SAR, real-time imaging is par