作者： Pingyue Yue¹;Haichuan Ding²;Shuai Wang²;Jianping An²;Yuguang Fang³; （¹School of Information and Electronics, Beijing Institute of Technology, Beijing, China ²School of Cyberspace Science and Technology, Beijing Institute of Technology, Beijing, China ³Department of Computer Science, City University of Hong Kong, Hong Kong, China）

出处： IEEE Internet of Things Journal 2024 Vol.11 No.6 P10425-10440

关键词： Satellites;Low earth orbit satellites;Delays;Correlation;Collaboration;Spread spectrum communication;Internet of Things;Internet Of Things;Signal Acquisition;Computational Complexity;Search Space;Exhaustive Search;Earth Surface;Low Computational Complexity;Acquisition Strategies;Delay Difference;Low Earth Orbit;Doppler Frequency Shift;Satellite Coverage;False Discovery Rate;High Probability;Probability Density Function;Grid Cells;Grid Size;Detection Probability;Satellite Observations;Range Shifts;Satellite Position;Single Satellite;Terminal Position;Symbol Rate;Carrier Phase;Received Signal Power;Position Estimation;Coordinate Vector;Consecutive Acquisitions;Elimination Step

摘要： This article presents a novel noncoherent multisatellite weak signal acquisition scheme by aggregating the observations at multiple low-Earth orbit (L ...

作者： Xiao Chen¹;Chao Zhu¹;Jie Ma²;Guanju Shi²;Zhenjie Yang³;Xiang Gao¹;Yong Cui³; （¹School of Cyberspace Science and Technology, Beijing Institute of Technology, Beijing, China ²School of Information and Electronics, Beijing Institute of Technology, Beijing, China ³Department of Computer Science and Technology, Tsinghua University, Beijing, China）

出处： IEEE Internet of Things Journal 2024 Vol.11 No.3 P3733-3748

关键词： Sensors;Task analysis;Satellite broadcasting;Marine vehicles;Unicast;Data communication;Wireless sensor networks;Extreme Conditions;Data Transmission;Completion Time;Extreme Environments;Convex Hull;Real-world Experiments;Communication Resources;Extreme Environmental Conditions;Influential Nodes;Dense Environments;Data Delivery;Transmission Latency;Distribution Of Sensors;Satellite Links;Maritime Environment;Throughput;Diffusion Rate;Time Task;Unmanned Aerial Vehicles;Path Loss;Rate Of Nodes;Source Node;Task Completion Time;Target Node;Time Nodes;Betweenness Centrality;Data Block;Automatic Identification System;Degree Of Saturation;High Betweenness Centrality

摘要： With the advancements in sensing technologies, maritime sensing has become indispensable in various domains, including logistics, weather forecasting, ...

作者： Jiacheng Bao¹;Da Li¹;Shiyong Li¹;Guoqiang Zhao¹;Houjun Sun¹;Yi Zhang¹; （¹Beijing Key Laboratory of Millimeter Wave and Terahertz Techniques, School of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing, China）

出处： IEEE Transactions on Microwave Theory and Techniques 2024 Vol.72 No.2 P1339-1352

关键词： Imaging;Electromagnetics;Radar imaging;Visualization;Radar;Aircraft;Computational efficiency;Range Profile;Image Generation Network;Neural Network;Structural Similarity;Deep Learning;Computational Cost;Deep Network;High-resolution Images;Deep Neural Network;Imaging Methods;Visual Images;Target Image;Peak Signal-to-noise Ratio;Anechoic Chamber;Coherent Processing;Back-projection Algorithm;Electromagnetic Data;Image Resolution;Convolutional Layers;Latent Representation;Synthetic Aperture Radar;Ground Penetrating Radar;Number Of Network Parameters;Radar Images;Generative Adversarial Networks;Contrastive Loss;Angle Interval;Augmentation Strategy;Network Generalization

摘要： Electromagnetic imaging methods mainly utilize converted sampling, dimensional transformation, and coherent processing to obtain spatial images of tar ...

作者： Qiang Zhou¹;Yanhua Wang^1,2,3,4,5;Xin Zhang¹;Liang Zhang¹;Teng Long¹; （¹School of Information and Electronics, Beijing Institute of Technology, Beijing, China ²Electromagnetic Sensing Research Center of CEMEE State Key Laboratory, Beijing Institute of Technology, Beijing, China ³Beijing Key Laboratory of Embedded Real-time Information Processing Technology, Beijing, China ⁴Chongqing Innovation Center, Beijing Institute of Technology, Chongqing, China ⁵Advanced Technology Research Institute, Beijing Institute of Technology, Shandong, China）

出处： IEEE Geoscience and Remote Sensing Letters 2024 P1

关键词： Testing;Scattering;Diffusion processes;Target recognition;Noise reduction;Depression;Training data

摘要： High resolution range profile (HRRP) plays a crucial role in radar target recognition. In real-world applications, variations in operational condition ...

作者： Xuhui Ding¹;Kexin Zhou¹;Gaoyang Li²;Kai Yang³;Xiaozheng Gao³;Jinhong Yuan⁴;Jianping An¹; （¹School of Cyberspace Science and Technology, Beijing Institute of Technology, Beijing, China ²Institute of Fluid Science, Tohoku University, Aoba-ku, Sendai, Japan ³School of Information and Electronics, Beijing Institute of Technology, Beijing, China ⁴School of Electrical Engineering and Telecommunications, The University of New South Wales, Sydney, NSW, Australia）

出处： IEEE Transactions on Communications 2024 Vol.72 No.2 P756-770

关键词： Synchronization;Iterative decoding;Complexity theory;Channel coding;Codes;Symbols;Iterative algorithms;Synchronous Frame;Decoding Method;Low-density Parity-check;Low-density Parity-check Decoder;Iterative Process;Energy Efficiency;Theoretical Results;Iterative Algorithm;Stopping Criterion;Hardware Implementation;High Energy Efficiency;Pilot Sequences;Complementary Metal Oxide Semiconductor Technology;Synchronization Performance;Detection Process;Bit Error Rate;High Signal-to-noise Ratio;Position Estimation;Optimal Estimation;Low Signal-to-noise Ratio;Low-density Parity-check Codes;Synchronization Process;Factor Graph;Signal-to-noise Ratio Region;Threshold-based Method;Decoding Process;Variable Nodes;Observation Window;Cumulative Distribution Function Curve;Forward Error Correction

摘要： In this study, a joint blind frame synchronization and decoding method is proposed based on the normalized syndrome satisfaction probability (NSSP) pr ...

作者： Xiaqing Miao¹;Yunkang Liu^2,3;Haoxing Zhang¹;Hui Zhao⁴;Shuai Wang¹;Gaofeng Pan¹;Jianping An¹; （¹School of Cyberspace Science and Technology, Beijing Institute of Technology, Beijing, China ²School of Information and Electronics, Beijing Institute of Technology, Beijing, China ³27th Research Institute of China Electronics Technology Group Corporation, Zhengzhou, China ⁴Communication Systems Department, EURECOM, Sophia Antipolis, France）

出处： IEEE Transactions on Aerospace and Electronic Systems 2024 Vol.60 No.1 P291-303

关键词： Satellites;Satellite communication;Security;Analytical models;Satellite broadcasting;Roads;Relays;Random Distribution;Communication Systems;Satellite Communication;Multiple Antennas;Internet Of Vehicles;Performance Of Communication Systems;Outage Performance;Monte Carlo Simulation;Theoretical Analysis;Probability Density Function;Cybersecurity;Line-of-sight;Unmanned Aerial Vehicles;Complex Scenarios;Average Gain;Beamforming;Bottom Of Page;Target System;Non-orthogonal Multiple Access;Hypergeometric Function;Legitimate Receiver;Line-of-sight Component;Orbital Height;Secure Transmission;Communication Scenarios;Channel Power Gain;Satellite Communication Systems

摘要： With the development of satellite communication technology, the application of satellites in the Internet of Vehicles (IoV) system can effectively sol ...

作者： Yinchuan Li¹;Yuancheng Zhan²;Le Zheng^3,4;Xiaodong Wang¹; （¹Electrical Engineering Department, Columbia University, New York, NY, USA ²School of Electrical and Electronic Engineering, Nanyang Technological University, Jurong West, Singapore ³Radar Research Laboratory, School of Information and Electronics, Beijing Institute of Technology, Beijing, China ⁴Chongqing Innovation Center, Beijing Institute of Technology, Chongqing, China）

出处： IEEE Transactions on Communications 2024 Vol.72 No.2 P1062-1074

关键词： Millimeter wave communication;Channel estimation;Compressed sensing;Approximation algorithms;Antennas;Massive MIMO;Monte Carlo methods;Channel Activity;Channel Estimation;Massive MIMO;Device Activity Detection;Simulation Results;Monte Carlo Simulation;Active Users;Base Station;Lipschitz Continuous;State Evolution;User Channel;mmWave Channel;5G Wireless Communication;Computational Complexity;Internet Of Things;False Alarm;Performance Loss;Noise Power;False Alarm Rate;Minimum Mean Square Error;Normalized Mean Square Error;Semidefinite Programming;Channel Sparsity;Pilot Sequences;Orthogonal Frequency Division Multiplexing;mmWave Communication;Discrete Grid;Rayleigh Fading;Direct Solver;Asymptotic Regime

摘要： Millimeter-Wave Massive MIMO is important for beyond 5G or 6G wireless communication networks. The goal of this paper is to establish successful commu ...

作者： Zhen Gao^1,2,3;Malong Ke⁴;Yikun Mei⁵;Li Qiao^5,6;Sheng Chen⁷;Derrick Wing Kwan Ng⁸;H. Vincent Poor⁹; （¹MIIT Key Laboratory of Complex-Field Intelligent Sensing, Beijing Institute of Technology, Beijing, China ²Yangtze Delta Region Academy, Beijing Institute of Technology (Jiaxing), Jiaxing, China ³Advanced Technology Research Institute, Beijing Institute of Technology, Jinan, China ⁴Wireless Product Division, Ruijie Network Company Ltd., Fuzhou, China ⁵School of Information and Electronics, Beijing Institute of Technology, Beijing, China ⁶5GIC & 6GIC, Institute for Communication Systems, University of Surrey, Guildford, U.K. ⁷School of Electronics and Computer Science, University of Southampton, Southampton, U.K. ⁸School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, NSW, Australia ⁹Department of Electrical and Computer Engineering, Princeton University, Princeton, NJ, USA）

出处： IEEE Internet of Things Journal 2024 Vol.11 No.5 P7411-7435

关键词： Internet of Things;6G mobile communication;Uplink;Wireless communication;Low-power wide area networks;Standards;Monitoring;Massive Communication;Grant-free Massive Access;Base Station;Academic Community;Random Access;Industrial Communities;Massive Multiple-input Multiple-output;Heterogeneous Devices;Random Scenario;Ubiquitous Connectivity;Internet Of Things;Sparse Matrix;Active Devices;Spectral Efficiency;Channel Estimation;Internet Of Things Applications;Channel Matrix;Sparse Structure;Non-orthogonal Multiple Access;Base Station Antennas;Non-orthogonal Multiple Access Scheme;Orthogonal Multiple Access;Low Power Wide Area Networks;Channel Impulse Response;Channel Sparsity;Power-domain Non-orthogonal Multiple Access;Access Latency;Time-frequency Resource;Signals Of Devices;Signaling Overhead

摘要： The envisioned sixth-generation (6G) of wireless communications is expected to give rise to the necessity of connecting very large quantities of heter ...

作者： Zhengyan Zhang^1,2;Xiaodong Qu^1,2;Wolin Li^1,2;Hongzhe Miao^1,2;Fengrui Liu^1,2; （¹School of Information and Electronics, Beijing Institute of Technology, Beijing, China ²Key Laboratory of Electronic and Information Technology in Satellite Navigation, Ministry of Education, Beijing, China）

出处： IEEE Signal Processing Letters 2024 Vol.31 P701-705

关键词： Estimation;Direction-of-arrival estimation;Training;Interference;Signal to noise ratio;Covariance matrices;Unsupervised learning;Unsupervised Learning;Direction Of Arrival Estimation;Direction Of Arrival Estimation Method;Unsupervised Learning Network;Loss Function;Numerical Simulations;Estimation Performance;Penalty Term;Direct Signal;Strong Interference;Interference Power;Influence Of Interference;Root Mean Square Error;Training Set;Monte Carlo Simulation;Convolutional Neural Network;Covariance Matrix;Weak Signal;Radiation Source;Spatial Domain;Uniform Linear Array;Sparse Bayesian Learning;ResNet Block;Unsupervised Strategy;Uniform Grid;Sparse Method

摘要： In complex electronic countermeasure environment, direction-of-arrival (DOA) is very important for targets detection, localization and tracking. Howev ...

作者： Zhimin Chen^1,2,3;Peng Chen^4,2;Le Zheng^5,6;Yudong Zhang⁷; （¹School of Electronic and Information, Shanghai Dianji University, Shanghai, China ²State Key Laboratory of Integrated Services Networks, Xidian University, Xi\'an, China ³Department of Electronic and Information Engineering, Hong Kong Polytechnic University, Hong Kong ⁴State Key Laboratory of Millimeter Waves, Southeast University, Nanjing, China ⁵Radar Research Laboratory, School of Information and Electronics, Beijing Institute of Technology, Beijing, China ⁶Chongqing Innovation Center, Beijing Institute of Technology, Chongqing, China ⁷School of Computing and Mathematical Sciences, University of Leicester, Leicester, U.K.）

出处： IEEE Transactions on Vehicular Technology 2024 Vol.73 No.2 P1792-1802

关键词： Estimation;Direction-of-arrival estimation;Sensors;Reflection;Mutual coupling;Channel estimation;Wireless communication;Reconfigurable Intelligent Surface;Direction Of Arrival Estimation;Direction Of Arrival Estimation Method;Practical Reconfigurable Intelligent Surface;Model System;Wireless;Computational Complexity;Deep Neural Network;Low Complexity;Phase Shift;Estimation Performance;Spatial Domain;Low Computational Complexity;Mutual Effect;Mutual Coupling;Semidefinite Programming;Problem Scenario;Intelligent Reflecting Surface;Mutual Coupling Effect;Reconfigurable Intelligent Surface Elements;Adjacent Elements;Performance In Scenarios;Semidefinite Programming Problem;Unmanned Aerial Vehicles;Reflection Signal;Reflection Coefficient;Fast Fourier Transform Method;Orthogonal Matching Pursuit;Low Earth Orbit;Root Mean Square Error

摘要： Reconfigurable intelligent surface (RIS) or intelligent reflecting surface (IRS) has been an attractive technology for future wireless communication a ...