作者： Hongchi Zhang，Yuan Feng，Shengheng Liu （School of Information and Electronics, Beijing Institute of Technology and Beijing Key Laboratory of Fractional Signals and Systems；School of Information Science and Engineering, Southeast University）

出处： Journal of Beijing Institute of Technology 2024 第1期

关键词： small target；chirp；sparse fractional Fourier transform (FrFT)

摘要： Detection of maneuvering small targets has always been an important yet challenging task for radar signal processing.One primary reason is that target ...

作者： Weicheng Gao^1,2;Xiaodong Qu^1,2;Haoyu Meng^1,2;Xiaolong Sun^1,2;Xiaopeng Yang^1,3; （¹School of Information and Electronics, Beijing Institute of Technology, Beijing, China ²Key Laboratory of Electronic and Information Technology in Satellite Navigation, Beijing Institute of Technology, Beijing, China ³Jiaxing Research Center of Beijing Institute of Technology, Jiaxing, China）

出处： IEEE Signal Processing Letters 2024 Vol.31 P860-864

关键词： Feature extraction;Dogs;Convolution;Training;Optical filters;Radar;Doppler effect;Gaussian Filter;Difference Of Gaussian;Deformable Convolution;Corner Features;Difference Of Gaussian Filter;Adaptive Feature Extraction;Numerical Simulations;Action Recognition;Feature Pyramid;Feature Pyramid Network;Human Activity Recognition;Intersection Of Curves;Neural Network;Convolutional Neural Network;Optical Tomography;Low-pass;Detection Accuracy;Multilayer Perceptron;Fully-connected Layer;Human Motion;Short-time Fourier Transform;Row Of Fig;Non-maximum Suppression;Classification Branch;Radar Images;Intelligence Methods;Regression Branch

摘要： Through-the-wall radar (TWR) utilizes range and Doppler information to achieve indoor human activity recognition. However, traditional recognition met ...

作者： Fei-Yue Wang^1,2,3,4;，Qinghai Miao^1,2;，Lingxi Li^1,5;，Qinghua Ni⁶;，Xuan Li⁷;，Juanjuan Li⁸;，Lili Fan⁹;，Yonglin Tian^2,3;，Qing-Long Han^1,10; （¹IEEE；²the School of Artificial Intelligence, University of Chinese Academy of Sciences；³the State Key Laboratory for Management and Control of Complex Systems, Chinese Academy of Sciences；⁴Faculty of Innovation Engineering, Macau University of Science and Technology；⁵the Department of Electrical and Computer Engineering, Indiana University-Purdue University Indianapolis；⁶the Faculty of Innovation Engineering, Macau University of Science and Technology；⁷Virtual Reality Fundamental Research Laboratory, Department of Mathematics and Theories, Peng Cheng Laboratory；⁸State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences；⁹the School of Information and Electronics, Beijing Institute of Technology；¹⁰School of Science, Computing and Engineering Technologies, Swinburne University of Technology）

出处： IEEE/CAA Journal of Automatica Sinica 2024 第11卷 第4期 P809-815

摘要： DURING our discussion at workshops for writing “What Does ChatGPT Say:The DAO from Algorithmic Intelligence to Linguistic Intelligence”\'(1)\',we had ...

作者： Quanzhou Yu¹;Yongqing Wang¹;Yuyao Shen¹; （¹School of Information and Electronics, Beijing Institute of Technology, Beijing, China）

出处： IEEE Internet of Things Journal 2024 Vol.11 No.7 P12435-12449

关键词： Clocks;Location awareness;Internet of Things;Heuristic algorithms;Phase measurement;Synchronization;Position measurement;Dynamic Network;Asynchronous Network;Computational Complexity;Measurement Model;Internet Of Things;Estimation Performance;Variable Positions;Large-scale Networks;Nonlinear Measures;Belief Propagation;Location-aware;Factor Graph;Gaussian Form;Neighboring Agents;Time Step;Covariance Matrix;Gaussian Noise;Network Topology;Measurement Noise;Linear Approximation;Pair Of Agents;Network Of Agents;Composite Vector;Position Of Agent;Global Navigation Satellite System;Communication Overhead;Agent Beliefs;Network Algorithm;Direction Of Arrival;Points In Dimension

摘要： Location awareness is a key enabling technology for many applications and services of the Internet of Things (IoT). Since densely deployed heterogeneo ...

作者： Xiaojiao Chen¹;Jing Wang¹;Liang Xu¹;Jingxuan Huang¹;Zesong Fei¹; （¹School of Information and Electronics, Beijing Institute of Technology, Beijing, China）

出处： IEEE Internet of Things Journal 2024 P1

关键词： Semantics;Receivers;Decoding;Feature extraction;Data mining;Wireless communication;Communication systems

摘要： Deep learning-based semantic communication is an emerging communication method that achieves cooperative transmission between source and channel. The ...

作者： Hongyu Ye¹;Wenhao Wu¹;Xingwang Long¹;Kun Li¹;Siliang Wu¹; （¹School of Information and Electronics, Beijing Institute of Technology, Beijing, China）

出处： IEEE Transactions on Aerospace and Electronic Systems 2024 P1-16

关键词： Radar;Frequency modulation;Clutter;Receivers;Optimization;Encoding;Aerospace and electronic systems

摘要： Random frequency and pulse repetition interval agile (RFPA) signal has been gaining popularity in radar systems, owing to its low probability of inter ...

作者： Zheyu Wu;Ran Gao;Sitong Zhou;Fei Wang;Zhipei Li;Huan Chang;Dong Guo;Xiangjun Xin;Qi Zhang;Feng Tian;Qiang Wu （School of Information and electronics, Beijing Institute of Technology, Beijing, 100081 China School of Information and electronics, Beijing Institute of Technology, Beijing, 100081 China School of Information and electronics, Beijing Institute of Technology, Beijing, 100081 China School of Information and electronics, Beijing Institute of Technology, Beijing, 100081 China School of Information and electronics, Beijing Institute of Technology, Beijing, 100081 China School of Information and electronics, Beijing Institute of Technology, Beijing, 100081 China School of Information and electronics, Beijing Institute of Technology, Beijing, 100081 China School of Information and electronics, Beijing Institute of Technology, Beijing, 100081 China School of Electronic engineering, Beijing University of Posts and Telecommunications, Beijing, 100876 China School of Electronic engineering, Beijing University of Posts and Telecommunications, Beijing, 100876 China Faculty of Engineering and Environment, Northumbria University, Newcastle Upon Tyne, NE1 8ST UK）

出处： Laser & Photonics Reviews 2024 Vol.18 No.2 P2300624

关键词： endoscopy;few-shot neural networks;optical fiber imaging;orbital angular momentum;ring core fiber

摘要： Single-fiber imaging technology offers unique insights for research and inspection in difficult-to-reach and narrow spaces. In particular, ultra-compa ...

作者： Fanghao Xia¹;Zesong Fei¹;Xinyi Wang¹;Peng Liu¹;Jing Guo¹;Qingqing Wu²; （¹School of Information and Electronics, Beijing Institute of Technology, Beijing, China ²Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China）

出处： IEEE Wireless Communications Letters 2024 P1

关键词： Sensors;Backscatter;Internet of Things;Signal to noise ratio;Interference;Optimization;Estimation

摘要： In this letter, we investigate the sensing-assisted secure transmission for reconfigurable intelligent surface (RIS)-based backscatter systems, where ...

作者： Jing Tian¹;Wei Zhang²; （¹School of Information and Electronics, Beijing Institute of Technology, Beijing, China ²National Key Laboratory of Electromagnetic Space Security, Chengdu, China）

出处： Journal of Systems Engineering and Electronics 2024 Vol.35 No.1 P24-30

关键词： Training;Interference suppression;Filtering;Simulation;Training data;Radar detection;Vectors;Iterative Selection;Adaptive Radar;Training Data;Weight Vector;Target Signal;Target Echo;Signal Cancellation;Degrees Of Freedom;Covariance Matrix;Signaling Events;Probability Density Function;Multiple Segments;Sample Covariance Matrix;Noise Covariance Matrix;Uniform Linear Array;Noise Matrix;Direction Of Arrival;Steering Vector;Pulse Compression;Adaptive Beamforming;Kurtosis Of Distribution;Noise Subspace;Constant False Alarm Rate

摘要： In engineering application, there is only one adaptive weights estimated by most of traditional early warning radars for adaptive interference suppres ...

作者： Yining Wang¹;Wenbin Shi¹;Yuxuan Sun¹;Chien-Hung Yeh^1,2; （¹School of Information and Electronics, Beijing Institute of Technology, Beijing, China ²Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, U.K）

出处： IEEE Transactions on Computational Social Systems 2024 Vol.11 No.1 P1352-1361

关键词： COVID-19;Predictive models;Market research;Internet;Data models;Wavelet transforms;Meteorology;COVID-19;Coronavirus Disease 2019 Incidence;Prediction Model;Decoding;Short-term Memory;Climate Variability;Long Short-term Memory;Low Computational Cost;Search Queries;Autoregressive Integrated Moving Average;Search Volume;Time Series;Root Mean Square Error;Model Performance;Training Set;COVID-19 Vaccine;Coronavirus Disease 2019 Cases;Wiener Filter;Long Short-term Memory Model;Coronavirus Disease 2019 Epidemic;Long Short-term Memory Method;Loss Of Taste;Weight Prediction;Nonlinear Unit;COVID-19 Symptoms;Feature Subset;Complex Time Series

摘要： The global outbreak of coronavirus disease 2019 (COVID-19) has spread to more than 200 countries worldwide, leading to severe health and socioeconomic ...