薛积禹,博士,讲师,硕士生导师。2016年毕业于太原理工大学光信息科学与技术专业,获理学学士学位;2022年毕业于西安电子科技大学无线电物理专业,获理学博士学位。2023年进入山西大学物理电子工程学院工作。主要研究领域包括:逆合成孔径激光雷达、复杂目标环境识别与检测、目标电磁散射、大气湍流/可压缩湍流、目标在随机介质中光传输与散射等领域。目前已在国内外重要学术期刊发表论文多篇;获得国家发明专利;主持山西省青年基金项目1项;参与多项国家级科研项目;并担任多家学术期刊的审稿专家。
联系方式:
电话:18334706882
邮箱:xuejiyu@sxu.edu.cn
科研项目:
山西省青年基金项目, 随机粗糙目标斜程大气湍流下逆合成孔径激光雷达成像特性研究,起止时间:2024.01-2026.12,批准号:202303021222034。
论文:
[1] Jiyu Xue, Hongpeng Wu, and Lei Dong. Inverse synthetic aperture lidar imaging and compensation in slant weak compressible turbulence[J]. Opt. Express, 2025, 33(3): 5525-5538. (SCI二区/JCR-Q1, 光学TOP)
[2] Jiyu Xue, Hongpeng Wu, Ruyue. Cui, and Lei Dong. Modified compressible turbulence phase distortion formula and compressible turbulence spectrum simulation[J]. Physics of Fluids, 2024, 36(7): 076106. (SCI二区/JCR-Q1, 流体与等离子体TOP)
[3] Jiyu Xue, Yunhua Cao, Zhensen Wu, Yanhui Li, Geng Zhang, Kai Yang, and Ruoting Gao. Inverse synthetic aperture lidar imaging and compensation in slant atmospheric turbulence with phase gradient algorithm compensation[J]. Optics & Laser Technology, 2022, 154: 108329. (SCI二区/JCR-Q1, 光学TOP)
[4] Jiyu Xue, Yunhua Cao, Tan Qu, Zhensen Wu, et al. Inverse Synthetic Aperture LiDAR Imaging of Rough Targets under Small Rotation Angles[J]. Remote Sens, 2022, 14, 2694. (SCI二区/JCR-Q1, 遥感TOP)
[5] Jiyu Xue, Yunhua Cao, Zhensen Wu, et al. Simulating the Scattering Echo and Inverse Synthetic Aperture Lidar Imaging of Rough Targets[J]. ANNALEN DER PHYSIK, 2022, 534, 2100491. (SCI二区/JCR-Q2)
[6] Jiyu Xue, Yun-Hua Cao, Zhen-Sen Wu, et al. Multiple scattering and modeling of laser in fog[J]. Chinese Phys. B, 2021, 30(6): 64206-064206. (SCI三区/JCR-Q3)
[7] Jiyu Xue, Zhen-Sen Wu. "Analysis on the Distribution of Random Rough Surface Scattering by Monte-Carlo Method," 2018 12th International Symposium on Antennas, Propagation and EM Theory (ISAPE), 2018, pp. 1-3, doi: 10.1109/ISAPE.2018.8634173.
[8] 薛积禹,吴振森, 李艳辉等.粗糙目标逆合成孔径激光雷达成像仿真[C]. 第16届全国电波传播学术讨论年会, 中国海口, 2020.
专利:
[1] 薛积禹, 吴振森, 曹运华等. 基于二维傅里叶变换的基尔霍夫近似下激光散射回波计算, 2020-06-11, 中国, CN202010528454.1
教学情况:
信息论与编码基础
信息论基础
数字信号处理实验;
电子设计自动化实验;