院系详细页面

[中文期刊] Collaborative representation with background purification and saliency weight for hyperspectral anomaly detection CSCD 源

作者： Zengfu HOU，Wei LI，Ran TAO，Pengge MA，Weihua SHI （School of Information and Electronics，Beijing Institute of Technology；School of Intelligent Engineering，Zhengzhou University of Aeronautics；Urban-Rural Planning Administration Center，Ministry of Housing and Urban-Rural Development of the People\'s Republic of China）

出处： Science China(Information Sciences) 2022 第65卷第1期 P247-258

摘要： Collaborative representation-based detection（CRD） has been developed in hyperspectral anomaly detection tasks and testified to be very effective; howe ...

[中文期刊] 低信噪比下基于YOLOv3的昆虫目标检测 CSCD 核源

作者：梁文哲，冯阳凯，王锐，周超，蔡炯（北京理工大学信息与电子学院；上海卫星工程研究所）

出处：信号处理 2022 第38卷第1期 P109-117

关键词：昆虫目标检测；低信噪比；深度学习

摘要：掌握昆虫迁飞规律对于农业防治和生态学研究具有重大意义,雷达正是检测昆虫迁飞最有效的手段。昆虫回波弱,传统的恒虚警检测（Constant False Alarm Rate,CFAR）算法在低信噪比（Signal To Noise Ratio,SNR）时的检测性能下降;同时昆虫目标体积小、飞行速度慢,在 ...

[中文期刊] 基于异构加速的动目标检测算法的实现方法 CSCD 核源

作者：陈莹莹，胡善清，李兴明，王策（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)；北京理工雷科电子信息技术有限公司）

出处：信号处理 2022 第38卷第2期 P410-416

关键词：异构；动目标；实时检测；CPU+GPU

摘要：大数据的不断深化应用和信号处理算法的不断迭代升级，推进了雷达目标检测的不断革新，实现对动目标的检测的同时，实时性的保证成了一个问题。目前研究对动目标的检测多在理论和仿真阶段，针对提高实时性的加速处理方法研究较少。本文针对当前普遍的动目标检测算法流程，设计CPU（Central Processing ...

[中文期刊] 基于机动检测的参数自适应跟踪算法 CSCD 核源

作者：张娜，王锐，蔡炯（北京理工大学信息与电子学院）

出处：信号处理 2022 第38卷第2期 P367-374

关键词：当前统计模型；自适应参数；机动检测；目标跟踪

摘要：在机动目标跟踪中，传统当前统计模型卡尔曼滤波算法对弱/无机动目标跟踪精度不高，对突发机动跟踪精度显著下降，且跟踪性能受限于先验参数。针对上述问题，本文提出一种基于机动检测的参数自适应机动目标跟踪算法，算法利用新息的概率分布特性构建双阈值检测门限，依据检测结果进行参数自适应调整。首先，利用加速度预测误 ...

[外文期刊] Hyperspectral Target Detection Based on Weighted Cauchy Distance Graph and Local Adaptive Collaborative Representation. SCIE EI

作者： Xiaobin Zhao¹;Wei Li¹;Chunhui Zhao²;Ran Tao¹; （¹Beijing Key Laboratory of Fractional Signals and Systems, School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China. ;²College of Information and Comminication Engineering, Harbin Engineering University, Hrbin 150001, China.）

出处： IEEE Transactions on Geoscience and Remote Sensing 2022 P1

关键词： Object detection;Hyperspectral imaging;Covariance matrices;Collaboration;Adaptation models;Correlation;Image edge detection

摘要： Hyperspectral target detection in complex backgrounds is a challenging and important research topic in the remote sensing field. Traditional target de ...

[外文期刊] An Improved Aeromagnetic Compensation Method Robust to Geomagnetic Gradient

作者： Yongqiang Feng;Qimao Zhang;Yaoxin Zheng;Xiaodong Qu;Fang Wu;Guangyou Fang （Aerospace Information Research Institute, Chinese Academy of Sciences, No. 9 Dengzhuang South Road, Haidian District, Beijing 100094, China Aerospace Information Research Institute, Chinese Academy of Sciences, No. 9 Dengzhuang South Road, Haidian District, Beijing 100094, China Aerospace Information Research Institute, Chinese Academy of Sciences, No. 9 Dengzhuang South Road, Haidian District, Beijing 100094, China School of Information and Electronics, Beijing Institute of Technology, No. 5 South Street, Zhongguancun, Haidian District, Beijing 100081, China Naval Aviation University, No. 8 Honghou Road, Zhifu District, Yantai 264001, China Aerospace Information Research Institute, Chinese Academy of Sciences, No. 9 Dengzhuang South Road, Haidian District, Beijing 100094, China）

出处： Applied Sciences 2022 Vol.12 No.1490 P1490

关键词： aeromagnetic compensation;geomagnetic gradient;IGRF;magnetic anomaly detection

摘要： Aeromagnetic surveys play an important role in many fields, for example, archaeology, anti-submarine warfare, and geophysical exploration. Being in th ...

[中文期刊] 动平台分布式相参雷达自校准性能分析 CSCD 核源

作者：卢佳欣，孙静宜，刘飞峰，刘泉华，缪颖杰（北京理工大学信息与电子学院雷达技术研究所）

出处：信号处理 2022 第38卷第2期 P395-400

关键词：分布式相参雷达；运动平台；自校准；HCRB；不可分辨

摘要：动平台分布式相参雷达可在保证雷达系统机动性、扩展性和低成本的同时获得高精度的目标估计性能。针对动平台分布式相参雷达存在的位置偏差和速度偏差，利用混合克拉美罗界（hybrid Cramer-Rao Bound，HCRB）工具对误差存在情况下的目标参数和雷达节点系统误差联合估计性能界进行建模和求解。对H ...

[中文期刊] 基于深度学习的无人机载平台多目标检测和跟踪算法研究 CSCD 核源

作者：王旭辰，韩煜祺，唐林波，邓宸伟（北京理工大学信息与电子学院雷达技术研究所）

出处：信号处理 2022 第38卷第1期 P157-163

关键词：深度学习；无人机载平台；多目标跟踪；数据关联

摘要：无人机技术和计算机视觉技术相结合,在民用和军用领域都有着广泛的需求,然而当前算法不能很好的适应无人机视角旋转、障碍物遮挡、目标尺度变化等特殊情况。根据实际的难点和挑战,提出了基于深度学习的无人机载平台多目标检测和跟踪算法。主要工作有:在检测方面,通过公开数据集和实际采集的大量数据,训练了基于Dark ...

[外文期刊] Neural Network Model Based on the Tensor Network for Audio Tagging of Domestic Activities SCIE

作者： LiDong Yang;RenBo Yue;Jing Wang;Min Liu （School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, China School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, China School of Information and Electronics, Beijing Institute of Technology, Beijing, China China Mobile Research Institute, Beijing, China）

出处： Frontiers in Physics 2022 Vol.10

关键词： tensor network;matrix product state (MPS);tensor train decomposition;audio tagging;neural network

摘要： Due to the serious problem of population aging, monitoring of domestic activities is increasingly important. Audio tagging of domestic activities is v ...

[外文期刊] Distributed deep learning for cooperative computation offloading in low earth orbit satellite networks SCIE 源

作者： Qingqing Tang¹;Zesong Fei¹;Bin Li²; （¹School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China ;²School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing 210044, China;Key Lab of Broadband Wireless Communication and Sensor Network Technology, Nanjing University of Posts and Telecommunications, Ministry of Education, Nanjing 210003, China）

出处： China Communications 2022 Vol.19 No.4 P230-243

关键词： Low earth orbit satellites;Satellites;Task analysis;Servers;Optimization;Computational modeling;Delays

摘要： Low earth orbit (LEO) satellite network is an important development trend for future mobile communication systems, which can truly realize the "ubiqui ...