作者： Liu, Wei^{1, 2}; Liang, Zhennan^{1, 2}; Chen, Xinliang^{1, 2, 3}; Wang, Bin^{1, 2, 3}; Song, Yuanyuan^{1, 2}

出处： 2022 International Conference on Radar Systems, RADAR 2022 Edinburgh, Virtual, United kingdom 2022

会议录： Vol.2022 No.17 599-604

作者： Feng, Lianhui^{1, 2}; Hu, Jiaqi^{1, 2}; Feng, Kai⁴; Dong, Xichao^{1, 2, 3}; Liu, Fang⁵

出处： 2022 International Conference on Radar Systems, RADAR 2022 Edinburgh, Virtual, United kingdom 2022

会议录： Vol.2022 No.17 523-527

作者： Wang, Xing¹; Cui, Chang^{2, 3}; Li, Cong¹; Dong, Xichao⁴

出处： 2022 Conference on Infrared, Millimeter, Terahertz Waves and Applications, IMT 2022 Xi'an, China 2022

会议录： Vol.12565

作者： Shiqi Zhang;Guoxin Yu;Shanping Yu;Yanjun Zhang;Yu Zhang （1. School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China; 2. School of Cyberspace Science and Technology, Beijing Institute of Technology, Beijing 100081, China）

出处： Journal of Beijing Institute of Technology 2022 Vol.31 No.5 P473-482

关键词： satellite communication;long short-term memory;forward error correction;rain loss;adaptive modulation and coding

摘要： Satellite communication develops rapidly due to its global coverage and is unrestricted to the ground environment. However, compared with the traditio ...

作者： 张永强，方中昊，师皓 （北京跟踪与通信技术研究所；北京理工大学信息与电子学院；北京理工大学重庆创新中心）

出处： 第十五届全国信号和智能信息处理与应用学术会议 2022

会议录： 第十五届全国信号和智能信息处理与应用学术会议论文集

关键词： 遥感图像；车辆检测；深度学习

摘要： 随着我国机动车数量的日益增长，利用遥感图像对车辆目标进行检测已广泛应用于道路交通和城市管理等方面.近年来，基于深度学习的目标检测算法已经在通用物体检测任务上取得了非常出色的成绩.通用物体检测器利用与坐标轴平行的水平框来完成目标的定位和分类任务.由于遥感图像中的车辆目标具有排列密集、方向任意等特点，通 ...

作者： 肖婷，邓云开，曾涛，向学坤，周灏，谭真艳 （北京理工大学 重庆创新中心；北京理工大学 信息与电子学院 雷达技术研究所；北京理工大学 信息与电子学院 雷达技术研究所；北京理工大学 信息与电子学院 雷达技术研究所；卫星导航电子信息技术教育部重点实验室(北京理工大学)；重庆市地质矿产研究院；重庆市二零八地质环境研究院有限公司）

出处： 第十五届全国信号和智能信息处理与应用学术会议 2022

会议录： 第十五届全国信号和智能信息处理与应用学术会议论文集

关键词： 滑坡易发性；指标因子；共线性；评价精度

摘要： 滑坡易发性图是危险性、风险评价的基础，能为土地规划利用、灾害早期预警等提供指导依据，因此提高易发性评价精度至关重要.基于前期已完成的万州区滑坡易发性评价，探讨高程、水系两个指标因子的局部空间共线性.根据高程、水系两个指标因子分类1 的共同区域，将两个因子进行重分类.原易发性评价中的剩余10 个指标因 ...

作者： 张博程，李致衡，师皓，陈亮，崔子涵，何成 （北京理工大学信息与电子学院雷达技术研究所；嵌入式实时信息处理技术北京市重点实验室；北京理工大学重庆创新中心；北京理工大学信息与电子学院雷达技术研究所；嵌入式实时信息处理技术北京市重点实验室）

出处： 第十五届全国信号和智能信息处理与应用学术会议 2022

会议录： 第十五届全国信号和智能信息处理与应用学术会议论文集

关键词： 合成孔径雷达；目标检测；卷积神经网络；难例挖掘

摘要： 合成孔径雷达(SAR)图像船只检测可以实现广域视场内快速发现船只目标，在军事侦察、海洋航运管控等领域有着广泛的应用。针对SAR 图像船只目标检测中存在的虚警率高的问题，采用难样本挖掘与基于区域的定位损失相结合的方法，实现对图像中难分目标的有效区分。在卷积神经网络困难样本训练方法分析的基础上，通过筛选 ...

作者： Zhe Song¹;Jianping An²;Gaofeng Pan²;Shuai Wang²;Haoxing Zhang²;Yunfei Chen³;Mohamed-Slim Alouini⁴; （¹School of Information and Electronics Engineering, Beijing Institute of Technology, Beijing, China ²School of Cyberspace Science and Technology, Beijing Institute of Technology, Beijing, China ³School of Engineering, University of Warwick, Coventry, U.K. ⁴Computer, Electrical and Mathematical Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia）

出处： IEEE Transactions on Wireless Communications 2022 P1

关键词： Relays;Satellites;Transmitters;Uplink;Wireless communication;Downlink;Interference

摘要： Nowadays, satellite and aerial platforms are playing an important role in realizing global seamless wireless coverage. In this paper, a cooperative sa ...

作者： Huang Yuan^1,2,3;Wang Yunkun^4,5;Huang Xinyu¹;Zhang Guanhua⁶;Han Xu¹;Yang Yang²;Gao Yunan^4,5,7;Meng Lei⁸;Wang Yushu⁹;Geng Guangzhou²;Liu Liwei¹⁰;Zhao Lin²;Cheng Zhihai¹¹;Liu Xinfeng¹²;Ren Zefeng⁶;Yang Huixia¹⁰;Hao Yufeng^9,13;Gao Hongjun^2,14;Zhou Xingjiang^2,3,14;Ji Wei¹¹;Wang Yeliang^1,10 （¹Advanced Research Institute of Multidisciplinary Science, Beijing Institute of Technology, Beijing;²Institute of Physics, Chinese Academy of Sciences, Beijing National Laboratory for Condensed Matter Physics, Beijing;³Songshan Lake Materials Laboratory, Songshan Lake Materials Laboratory, Dongguan;⁴School of Physics, Peking University, State Key Laboratory for Artificial Microstructure and Mesoscopic Physics, Beijing;⁵Frontiers Science Center for Nanooptoelectronics & Collaborative Innovation Center of Quantum Matter, Frontiers Science Center for Nanooptoelectronics;;Collaborative Innovation Center of Quantum Matter, Beijing;⁶Dalian Institute of Chemical Physics, Chinese Academy of Sciences, State Key Laboratory of Molecular Reaction Dynamics, Dalian;⁷Shanxi University, Collaborative Innovation Center of Extreme Optics, Taiyuan;⁸Minzu University of China, Beijing;⁹College of Engineering and Applied Sciences, Nanjing University, National Laboratory of Solid State Microstructures;;Jiangsu Key Laboratory of Artificial Functional Materials;;Collaborative Innovation Center of Advanced Microstructures, Nanjing;¹⁰School of Information and Electronics, Beijing Institute of Technology, MIIT Key Laboratory for Low-Dimensional Quantum Structure and Devices, Beijing;¹¹Department of Physics and Renmin University of China, Beijing Key Laboratory of Optoelectronic Functional Materials & Micro-Nano Devices, Beijing;¹²National Center for Nanoscience and Technology (NCNST) of China, Beijing;¹³Haian Institute of New Technology, Nanjing University, Haian;¹⁴University of Chinese Academy of Sciences, Beijing）

出处： InfoMat 2022 第4卷 第3期 Pe12274

关键词： mechanical exfoliation；photoluminescence；Raman spectrum；suspended 2D materials

摘要： Two-dimensional (2D) materials are highly sensitive to substrates, interfaces, and the surrounding environments. Suspended 2D materials are free from ...

作者： Gao, Zhen¹; Wu, Minghui¹; Hu, Chun¹; Gao, Feifei²; Wen, Guanghui³; Zheng, Dezhi¹; Zhang, Jun¹ （¹School of Information and Electronics and the Advanced Research Institute of Multidisciplinary Science, Beijing Institute of Technology, Beijing, China;²Department of Automation, Institute for Artificial Intelligence, Tsinghua University (THUAI), State Key Lab of Intelligent Technologies and Systems, Tsinghua University, Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, China;³Department of Mathematics, Southeast University, Nanjing, China）

出处： IEEE Journal on Selected Areas in Communications 2022 P1-1