作者： 周强，王彦华，宋益恒，李阳 （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）

出处： 信号处理 2022 第38卷 第1期 P92-99

关键词： 雷达目标识别；高分辨距离像；数据增强；生成对抗网络

摘要： 在雷达自动目标识别（RATR）中,数据驱动方法是强有力的工具之一。然而数据驱动方法的性能十分依赖数据集的质量,数据增强方法通过扩充数据集,能够提升数据驱动模型在现有数据集上的识别率。本文提出了用于高分辨距离像（HRRP）数据生成的一维基础生成对抗网络（BGAN）结构和条件生成对抗网络（CGAN）结构 ...

作者： 杨鸿，田卫明，邓云开，聂祥飞，冯丽源，张月 （重庆三峡学院电子与信息工程学院；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： 信号处理 2022 第38卷 第1期 P137-147

关键词： 地基SAR；高相干点；永久散射体；StaMPS方法；分布式散射体

摘要： 基于高相干点进行相位分析,才能有效保证地基SAR（Synthetic Aperture Radar,合成孔径雷达）形变测量的准确性。在差分干涉测量领域中,广泛使用幅度离差法,可以有效地选择出岩石、建筑物等PS（Permanent Scatterer,永久散射体）点作为高相干点,但对于植被边坡,采用该 ...

作者： 梁阳，肖婷，胡程，任世聪，曾亮 （重庆三峡学院电子与信息工程学院；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；重庆市地质矿产研究院）

出处： 信号处理 2022 第38卷 第1期 P19-27

关键词： 滑坡位移；监测数据；长短时间记忆网络；位移预测

摘要： 滑坡位移变化是危险性的直接表征,位移预测对防灾减灾至关重要。以八字门滑坡为例,基于十年监测数据和神经网络模型（LSTM、RNN）进行滑坡位移预测。用一次移动平均法将总位移分解为趋势项和周期项,趋势项采用三次多项式函数进行分段拟合预测,通过神经网络模型和建立周期项与特征因子的关系并进行预测。其中,周期 ...

作者： Li, Yidan¹;Song, Yifei²;Gao, Yuan¹;

出处： 6th IEEE Information Technology and Mechatronics Engineering Conference, ITOEC 2022 2022

摘要： Unmanned Aerial Vehicles (UAVs) have unique advantages in size, speed, mobility and other aspects and the ability to work continuously. They have grad ...

作者： Hu, Xiao¹;Yue, Pingyue¹;Yan, Weihao¹;Yang, Xuanhe¹;Wang, Shuai²;Bu, Xiangyuan¹;

出处： 6th IEEE Information Technology and Mechatronics Engineering Conference, ITOEC 2022 2022

摘要： Multi-Carrier Direct-Sequence Code Division Multiple Access (MC-DS-CDMA) has gradually been widely used due to its advantages of high transmission rat ...

作者： Yang, Yixiao¹; Tao, Ran¹; Wei, Kaixuan²; Fu, Ying²; （¹School of Information and Electronics, Beijing Institute of Technology, Beijing, China;²School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China）

出处： Neurocomputing 2022 Vol.510 P203-217

摘要： Compressive imaging aims to recover a latent image from under-sampled measurements, suffering from a serious ill-posed inverse problem. Recently, deep ...

作者： Zhang, Fubiao¹; Yu, Jing²; Lin, Defu¹; Zhang, Jun³; （¹School of Aerospace Engineering, Beijing Institute of Technology, Beijing; 100081, China;²School of Economics and Management, Beijing Institute of Technology, Beijing; 100081, China;³School of Information and Electronics, Beijing Institute of Technology, Beijing; 100081, China）

出处： Engineering 2022 Vol.12 P24-38

关键词： Unmanned intelligent systems;Human centric systems;Social intelligence;Social acceptance;Socio–technical systems

摘要： Collaborative unmanned systems have emerged to meet our society\'s wide-ranging grand challenges, with their advantages including high performance, ef ...

作者： Zhang, Jun¹; Fukuda, Toshio²; Lin, Defu³; Holzapfel, Florian⁴; （¹School of Information and Electronics, Beijing Institute of Technology, Beijing; 100081, China;²School of Mechatronical Engineering, Beijing Institute of Technology, Beijing; 100081, China;³School of Aerospace Engineering, Beijing Institute of Technology, Beijing; 100081, China;⁴Institute of Flight System Dynamics, Technical University of Munich, Garching; 85748, Germany）

出处： Engineering 2022 Vol.12 Suppl C P1-2

作者： Lyu, Siqi¹; Li, Na¹; Sun, Lei²; Jiao, Shuqiang^{1, 3}; Chen, Haosen¹; Song, Wei-Li¹; （¹Institute of Advanced Structure Technology, Beijing Institute of Technology, Beijing; 100081, China;²School of Information and Electronics, Beijing Institute of Technology Beijing, Beijing; 100081, China;³State Key Laboratory of Advanced Metallurgy, University of Science and Technology Beijing, Beijing; 100083, China）

出处： Journal of Energy Chemistry 2022 Vol.72 P14-25

关键词： Operando monitoring;CO₂ evolution;Fast response;Li-ion batteries

摘要： Internal gases caused by side reactions are crucial signals for evaluating health and safety states of Li-ion batteries (LIBs) while it is still a gre ...

作者： Li, Weidong^{1, 2};Hu, Cheng^{1, 2};Wang, Rui^{1, 2};Li, Muyang^{1, 3};Zhang, Fan^{1, 3};Wang, Jiangtao^{1, 3}; （¹The Radar Research Lab, School of Information and Electronics, Beijing Institute of Technology, Beijing; 100081, China;²The Advanced Technology Research Institute, Beijing Institute of Technology, Jinan; 250300, China;³The Key Laboratory of Electronic and Information Technology in Satellite Navigation, Ministry of Education, Beijing; 100081, China）

出处： IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2022 Vol.15 P5288-5302

摘要： Up till now, measurement of the biological parameters of insects traversing the beam of an entomological radar has been based on the assumption that t ...