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个人信息Personal Information
副研究员
硕士生导师
教师拼音名称:Shangyuan Li
学历:博士研究生毕业
在职信息:在职
毕业院校:清华大学
23、Zhao, Z.; Ciais, P.; Wigneron, J.; Santoro, M.; Brandt, M.; Kleinschroth, F.; Lewis, S. L.; Chave, J.; Fensholt, R.; Laporte, N.; Sonwa, D. J.; Saatchi, S. S.; Fan, L.; Yang, H.; Li, X.; Wang, M.; Zhu, L.; Xu, Y.; He, J.; Li, W.*, Central African biomass carbon losses and gains during 2010-2019. One Earth 2024, 7, 1-14, https://doi.org/10.1016/j.oneear.2024.01.021
点击次数:
DOI码:10.1016/j.optcom.2020.126354
发表刊物:OPTICS COMMUNICATIONS
摘要:A large-range autofocus microwave photonic radar based on adaptive spatial filtering along the range direction is proposed to achieve high-resolution imaging of the target at any distance. By firstly estimating the target distance and then adaptively adjusting the coverage of the spatial filter, the targets at any distance can be filtered out and their high-resolution images can be achieved. Besides, the sampling rate of the back-end ADC can be as low as hundreds of megahertz, leading to low computation load. Comparing to the present microwave photonic radars, new radar structure and work flow are proposed to achieve high-resolution imaging of the targets at any distance. The range window is not limited and the computation load is low, which is hard to realize by the present microwave photonic radars. Experimentally, a K-band (18-26 GHz) autofocus radar is established, the large-range autofocus ability is verified by autofocusing and high-resolution imaging for a static metallic plane at the equivalent distances of 790 m, 3.97 km and 8.11 km, respectively. Imaging for a flying UAV also indicates the system's high-resolution imaging ability for the moving target. The proposed system enhances the capabilities of microwave photonic radars and has the potential to be applied in non-cooperative target identification.
第一作者:Xiao, Xuedi, Li, Shangyuan, Peng, Shaowen, Xing, Luhang, Xue, Xiaoxiao, Zheng, Xiaoping, Zhou, Bingkun
论文类型:J
文献类型:Article
卷号:477
ISSN号:0030-4018
是否译文:否
上一条:24、Leng, Y.; Li, W.*; Ciais, P.; Sun, M.; Zhu, L.; Yue, C.; Chang, J.; Yao, Y.; Zhang, Y.; Zhou, J.; Li, Z.; Wang, X.; Xi, Y.; Peng, S., Forest aging limits future carbon sink in China. One Earth 2024, 7, 822-834, https://doi.org/10.1016/j.oneear.2024.04.011
下一条:22、Han, M.; Zhao, Q.; Wang, X.; Wang, Y-P.; Ciais, P.; Zhang, H.; Goll, D. S.; Zhu, L.; Zhao, Z.; Guo, Z.; Wang, C.; Zhuang, W.; Wu, F.; Li, W.*, Modeling biochar effects on SOC on croplands in a microbial decomposition model (MIMICS-BC_v1.0). Geoscientific Model Development 2024, 17, 4871-4890.