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基于多维信号特征的无人机探测识别方法

电子与信息学报 2024年第3期46卷 1089-1099页

作者：聂伟戴琪霏杨小龙王平周牧周超重庆邮电大学通信与信息工程学院重庆400065 中国民用航空飞行学院民航飞行技术与飞行安全重点实验室和电子与电气工程学院德阳618307

如今,无人机(UAVs)在军用民用领域得到大规模应用,在无人机带来便利的同时也带来了巨大的安全隐患。针对无人机的探测识别技术逐渐成为研究热点,传统的无人机探测方法主要是通过获取雷达回波信号、无人机声音信号和光电信号的方式对无... 详细信息

如今,无人机(UAVs)在军用民用领域得到大规模应用,在无人机带来便利的同时也带来了巨大的安全隐患。针对无人机的探测识别技术逐渐成为研究热点,传统的无人机探测方法主要是通过获取雷达回波信号、无人机声音信号和光电信号的方式对无人机进行探测。然而,这类方法往往容易受到环境影响具有一定的局限性,无法对无人机进行精确的定位和识别。该文提出一种基于多维信号特征的无人机识别方法,该方法首先通过自适应三角阈值法从接收到的无线信号中探测并筛选出无人机信号,同时解析获取的无线信号的信道状态信息(CSI)。然后,利用正交匹配追踪算法(OMP)进行参数估计来获取无人机的位置信息对无人机进行定位。最后,提取无人机信号中的盒维数和径向积分双谱(RIB)来对无人机进行分类识别。通过实验,该方法对无人机的3维定位精度小于1 m,对无人机的分类识别精度最高能达到100%。

关键词：无人机参数估计特征提取目标识别目标定位

multi-network-region traffic cooperative scheduling in large-scale LEO satellite networks

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Journal of Systems engineering and electronics 2024年第4期35卷 829-841页

作者： LI Chengxi wang Fu YAN Wei CUI Yansong FAN Xiaodong ZHU Guangyu XIE Yanxi YANG Lixin zhou Luming ZHAO Ran wang Ning school of Electronic engineering Beijing University of Posts and TelecommunicationsBeijing 100876China The 6th research institute of china electronics Corporation Beijing 102209China china Satellite Network Share Operation Co. LtdBeijing 100876China Weihai Electronic information technology Comprehensive research center of the Ministry of Industry and information technology Weihai 264200 China

A low-Earth-orbit(LEO)satellite network can provide full-coverage access services worldwide and is an essential candidate for future 6G ***,the large variability of the geographic distribution of the Earth’s population leads to an uneven service volume distribution of access ***,the limitations on the resources of satellites are far from being able to serve the traffic in hotspot *** enhance the forwarding capability of satellite networks,we first assess how hotspot areas under different load cases and spatial scales significantly affect the network throughput of an LEO satellite network ***,we propose a multi-region cooperative traffic scheduling *** algorithm migrates low-grade traffic from hotspot areas to coldspot areas for forwarding,significantly increasing the overall throughput of the satellite network while sacrificing some latency of end-to-end *** algorithm can utilize all the global satellite resources and improve the utilization of network *** model the cooperative multi-region scheduling of large-scale LEO *** on the model,we build a system testbed using OMNET++to compare the proposed method with existing *** simulations show that our proposed method can reduce the packet loss probability by 30%and improve the resource utilization ratio by 3.69%.

关键词： low-Earth-orbit(LEO)satellite network satellite communication load balance multi-region scheduling latency optimization

High-resolution recognition of FOAM modes via an improved EfficientNet V2 based convolutional neural network

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Frontiers of physics 2024年第3期19卷 175-183页

作者： Youzhi Shi Zuhai Ma Hongyu Chen Yougang Ke Yu Chen Xinxing zhou International Collaborative Laboratory of 2D Materials for Optoelectronics Science and technology Institute of Microscale OptoelectronicsShenzhen UniversityShenzhen 518060China Key Laboratory of Low-Dimensional Quantum Structures and Quantum Control of Ministry of Education Synergetic Innovation Center for Quantum Effects and ApplicationsSchool of Physics and ElectronicsHunan Normal UniversityChangsha 410081China Key Laboratory of Hunan Province on information Photonics and Freespace Optical communications School of Information Science and EngineeringHunan Institute of Science and TechnologyYueyang 414006China

Vortex beam with fractional orbital angular momentum (FOAM) is the excellent candidate for improving the capacity of free-space optical (FSO) communication system due to its infinite modes. Therefore, the recognition of FOAM modes with higher resolution is always of great concern. In this work, through an improved EfficientNetV2 based convolutional neural network (CNN), we experimentally achieve the implementation of the recognition of FOAM modes with a resolution as high as 0.001. To the best of our knowledge, it is the first time this high resolution has been achieved. Under the strong atmospheric turbulence (AT) (C_(n)^(2)=10^(-15)m^(-2/3)), the recognition accuracy of FOAM modes at 0.1 and 0.01 resolution with our model is up to 99.12% and 92.24% for a long transmission distance of 2000 m. Even for the resolution at 0.001, the recognition accuracy can still remain at 78.77%. This work provides an effective method for the recognition of FOAM modes, which may largely improve the channel capacity of the free-space optical communication.

关键词： OAM free-space optical communication deep learning convolutional neural network

Local Synchronization for Complex Dynamical Networks with Switching Coupling Matrices and Time Delays

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Local Synchronization for Complex Dynamical Networks with Sw...

Low-cost,large-coverage,and high-flexibility coherent PON for next-generation access networks:advances,challenges,and prospects[Invited]

2011 Chinese Control and Decision Conference（CCDC）

作者： Tianbo wang,Wuneng zhou and Jinping Mou are the College of information Sciences and technology,Donghua University,Shanghai 200051,china Wuneng zhou is with the Key Laboratory of Wireless Sensor Network and communication,Shanghai institute of Microsystem and information technology,Chinese Academy of Sciences,Shanghai 200050,P.R.china Tianbo wang is with the College of Fundamental Studies,Shanghai University of engineering Science,Shanghai 201620,china

This technical letter investigates the local synchronization for complex dynamical networks with switching coupling matrices and time *** time delays include discrete time delay and distributed time *** outer-coupling matrices in the considered complex networks are assumed to vary with a Markov process taking finite *** on a novel Lyapunov function and complete square method,a criteria is obtained to guarantee the local synchronization for complex ***,a numerical example is provided to show the effectiveness of our proposed methods.

关键词： Complex networks local synchronization time delays white noises

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Chinese Optics Letters 2024年第4期22卷 26-35页

作者：邢思哲张俊文申王伟颜安李国强孙奥龙周骥郭栋施剑阳李子薇沈超迟楠 Key Laboratory of EMW information(MoE) Fudan UniversityShanghai 200433China Department of communication Science and engineering Shanghai ERC of LEO Satellite Communication and ApplicationsShanghai CIC of LEO Satellite Communication TechnologyFudan UniversityShanghai 200433China Department of Electronic engineering Jinan UniversityGuangzhou 510632China school of information and electronics Beijing Institute of TechnologyBeijing 100081China

Increasing bandwidth requirements have posed significant challenges for traditional access *** is difficult for intensity modulation/direct detection to meet the power budget and flexibility requirements of the next-generation passive optical network(PON)at 100G and beyond considering the new *** is driving researchers to develop novel optical access ***-cost,wide-coverage,and high-flexibility coherent PON is emerging as a strong contender in the *** this article,we will review technologies that reduce the complexity of coherent PON(CPON),enabling it to meet the commercial ***,advanced algorithms and architectures that can enhance system coverage and flexibility are also discussed.

关键词： access network coherent optics flexible data rate low complexity wide dynamic range

面向卫星遥感图像场景重建的神经辐射场方法综述

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电子与信息学报 2024年第5期46卷 1582-1590页

作者：周鑫王洋孙显林道玉刘俊义付琨中国科学院空天信息创新研究院北京100190 中国科学院网络信息体系技术重点实验室北京100190 中国科学院大学北京100190 中国科学院大学电子电气与通信工程学院北京100190

随着高分辨率卫星遥感图像成为认知地理空间不可或缺的重要手段,卫星遥感图像在城市建图、生态监测和导航等领域发挥着日益重要的作用,利用卫星遥感图像进行地球表面大规模3维重建成为了计算机视觉和摄影测量领域的研究热点。神经辐射场... 详细信息

随着高分辨率卫星遥感图像成为认知地理空间不可或缺的重要手段,卫星遥感图像在城市建图、生态监测和导航等领域发挥着日益重要的作用,利用卫星遥感图像进行地球表面大规模3维重建成为了计算机视觉和摄影测量领域的研究热点。神经辐射场(NeRF)利用可微渲染学习场景的隐式表示,在复杂场景新视图合成任务中实现了逼真的视觉效果,并在3维场景重建和渲染领域获得了极大的关注。近期的研究主要集中在利用神经辐射场技术,从卫星遥感图像中提取场景表示及其重建。面向卫星遥感图像的神经辐射场方法主要集中在光线空间优化、场景表示优化以及模型高效训练3方面。该文全面归纳了神经辐射场技术在卫星遥感应用中的最新进展。首先介绍神经辐射场技术的基本概念及相关数据集。然后提出一个面向卫星遥感图像的神经辐射场方法分类框架,用于系统性地回顾和整理该技术在卫星遥感领域的研究进展。接着详述了神经辐射场技术在实际卫星遥感场景应用中的相关成果。最后,基于当前研究所面临的问题和挑战进行分析和讨论,同时对未来的发展趋势和研究方向进行了展望。

关键词：神经辐射场卫星遥感图像神经渲染隐式表示

Radio-map Establishment based on Fuzzy Clustering for WLAN Hybrid KNN/ANN Indoor Positioning

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china communications 2010年第3期7卷 64-80页

作者： zhou mu Xu Yubin Ma Lin communication research＇ center School of Electronics and Information EngineeringHarbin Institute of Technology Harbin 150001 P. R. China

A novel radio-map establishment based on fuzzy clustering for hybrid K-Nearest Neighbor (KNN) and Artifi cial Neural Network (ANN) position algorithm in WLAN indoor environment is proposed. First of all, the Principal Component Analysis (PCA) is utilized for the purpose of simplifying input dimensions of position estimation algorithm and saving storage cost for the establishment of radio-map. Then, reference points (RPs) calibrated in the off-line phase are divided into separate clusters by Fuzzy C-means clustering (FCM), and membership degrees (MDs) for different clusters are also allocated to each RPs. However, the singular RPs cased by the multi-path effect signifi cantly decreases the clustering performance. Therefore, a novel radio-map establishment method is presented based on the modifi cation of signal samples recorded at singular RPs by surface fitting. In the on-line phase, the region which the mobile terminal (MT) belongs to is estimated according to the MDs firstly. Then, in estimated small dimensional regions, MT's coordinates are calculated byKNN positioning method for efficiency purpose. However, for the regions including singular RPs, ANN method is utilized because ofits great pattern matching ability. Furthermore, compared with other typical indoor positioning methods, feasibility and effectiveness of this hybrid KNN/ANN method are also verified by the experimental results in static and tracking situations.

关键词： WLAN indoor location fuzzy clustering principal component artificial neural network radio-map

A COOPERATIVE COGNITIVE RADIO NETWORK USING SMART ANTENNA

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A COOPERATIVE COGNITIVE RADIO NETWORK USING SMART ANTENNA

Logistics Classification Evolution and Microscopic Logistics Freight Integration

2009 IEEE International Conference on communication technology and Applications（ICCTA2009）

作者： Shubin wang~(1 2) Qi Liu~3 Zheng zhou~2 1.College of Electronic information engineering Inner Mongolia University Hohhot china 2.Wireless Network Laboratory Beijing University of Posts and Telecommunications Beijing china 3.Plan and Design research institute china Academy of Telecommunication research of MIIT Beijing china

＜正＞In this paper,a cooperative communication scheme using smart antenna is proposed for cognitive radio *** scheme expands the concept of cognitive radio in time and *** the cooperation,spectrum sensing accuracy and throughput of cognitive radio networks can be observably *** licensed users’ detection and unlicensed users’ transmission are almost carried on *** beamforming of smart antenna can help cognitive radio networks to reduce the interference to licensed users and acquire antenna array gain for unlicensed users. The performance characterizations reveal that the scheme has lower outage probability and more accurate primary detection than general CR networks.

关键词： Cognitive radio network cooperative communication smart antenna spectrum sensing

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Logistics Classification Evolution and Microscopic Logistics...