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2024 Vol. 46, No. 12

Cover
Cover
2024, 46(12)
Abstract:
Contents
Contents
2024, 46(12): 1-4.
Abstract:
Overviews
Federated Learning Technologies for 6G Industrial Internet of Things: From Requirements, Vision to Challenges, Opportunities
LIU Miao, XIA Yuhong, ZHAO Haitao, GUO Liang, SHI Zheng, ZHU Hongbo
2024, 46(12): 4335-4353. doi: 10.11999/JEIT240574
Abstract:
With the rapid development of 6G technology and the evolution of the Industrial Internet of Things (IIoT), federated learning has gained significant attention in the industrial sector. This paper explores the development and application potential of ...
Wireless Communication and Internet of Things
Resource Allocation Algorithm for Multiple-Input Single-Output Symbiotic Radio with Imperfect Channel State Information
XU Yongjun, WANG Mingyang, TIAN Qinyu, ZHANG Haibo, XUE Qing
2024, 46(12): 4354-4362. doi: 10.11999/JEIT231366
Abstract:
To overcome the effect of channel estimation errors on the ineffectiveness of conventional optimal resource allocation algorithms, a robust resource allocation algorithm with imperfect Channel State Information(CSI) is proposed in Multiple-Input Sing...
An Intelligent Driving Strategy Optimization Algorithm Assisted by Direct Acyclic Graph Blockchain and Deep Reinforcement Learning
HUANG Xiaoge, LI Chunlei, LI Wenjing, LIANG Chengchao, CHEN Qianbin
2024, 46(12): 4363-4372. doi: 10.11999/JEIT240407
Abstract:
The application of Deep Reinforcement Learning (DRL) in intelligent driving decision-making is increasingly widespread, as it effectively enhances decision-making capabilities through continuous interaction with the environment. However, DRL faces ch...
Partially Overlapping Channels Dynamic Allocation Method for UAV Ad-hoc Networks in Emergency Scenario
WANG Bowen, ZHENG Jian, SUN Yanjing, HU Wenxin, NIE Tong, WANG Jingjing
2024, 46(12): 4373-4382. doi: 10.11999/JEIT240377
Abstract:
The Flying Ad-hoc NETworks (FANETs) are widely used in emergency rescue scenarios due to their high mobility and self-organization advantages. In emergency scenarios, a large number of user paging requests lead to a challenging coordination between t...
Research on Channel Modeling and Characteristics Analysis for RIS-Enabled Near-Field Marine Communications Towards 6G
JIANG Hao, SHI Wangqi, ZHU Qiuming, SHU Feng, WANG Jiangzhou
2024, 46(12): 4383-4390. doi: 10.11999/JEIT240518
Abstract:
Reconfigurable Intelligent Surfaces (RIS) is considered as one of the potential key technologies for 6G mobile communications, which offers advantages such as low cost, low energy consumption, and easy deployment. By integrating RIS technology into m...
Cache Oriented Migration Decision and Resource Allocation in Edge Computing
YANG Shouyi, HAN Haojin, HAO Wanming, CHEN Yihang
2024, 46(12): 4391-4398. doi: 10.11999/JEIT240427
Abstract:
Edge computing provides computing resources and caching services at the network edge, effectively reducing execution latency and energy consumption. However, due to user mobility and network randomness, caching services and user tasks frequently migr...
Joint Optimization of Task Offloading and Resource Allocation for Unmanned Aerial Vehicle-assisted Edge Computing Network
ZHOU Xiaotian, YANG Xiaohui, ZHANG Haixia, DENG Yiqin
2024, 46(12): 4399-4408. doi: 10.11999/JEIT240411
Abstract:
It can effectively overcome the limitations of the ground environment, expand the network coverage and provide users with convenient computing services, through constructing the air-ground integrated edge computing network with Unmanned Aerial Vehicl...
Design and Optimization of Task-driven Dynamic Scalable Network Architecture in Spatial Information Networks
HE Lijun, JIA Ziye, LI Shiyin, WANG Yanting, WANG Li, LIU Lei
2024, 46(12): 4409-4421. doi: 10.11999/JEIT240505
Abstract:
At the present stage, the satellite subsystems in Space Information Networks (SINs) have their own systems and are separated from each other, which makes the network appear closed and fragmented, forming a severe resource barrier and resulting in wea...
Multi-Stage Game-based Topology Deception Method Using Deep Reinforcement Learning
HE Weizhen, TAN Jinglei, ZHANG Shuai, CHENG Guozhen, ZHANG Fan, GUO Yunfei
2024, 46(12): 4422-4431. doi: 10.11999/JEIT240029
Abstract:
Aiming at the problem that current network topology deception methods only make decisions in the spatial dimension without considering how to perform spatio-temporal multi-dimensional topology deception in cloud-native network environments, a multi-s...
Multi-view Adaptive Probabilistic Load Forecasting Combing Bayesian Autoformer Network
ZHOU Shiqi, WANG Junfan, LAI Junsheng, YUAN Yujie, DONG Zhekang
2024, 46(12): 4432-4440. doi: 10.11999/JEIT240398
Abstract:
Establishing accurate short-term forecasting models for electrical load is crucial for the stable operation and intelligent advancement of power systems. Traditional methods have not adequately addressed the issues of data volatility and model uncert...
Radars and Navigation
Research on SAR Anti-jamming Imaging Method with Sparse CP-OFDM
SHI Haixu, XU Zhongqiu, LI Guangzuo, LIN Kuan, HONG Wen
2024, 46(12): 4441-4450. doi: 10.11999/JEIT240092
Abstract:
Synthetic Aperture Radar (SAR) is a microwave remote sensing imaging radar. In recent years, with the advancement of digital technology and radio frequency electronic technology, the jamming technology of SAR imaging is developed rapidly. The active ...
Comprehensive Error in UAV Cluster Trajectory Deception for Networked Radar
SHI Chenguang, JIANG Zeyu, YAN Mu, ZHOU Jianjiang, WEN Wen
2024, 46(12): 4451-4458. doi: 10.11999/JEIT240289
Abstract:
In the process of trajectory deception against the networked radar using an Unmanned Aerial Vehicle (UAV) cluster, false target points are generated by delaying and forwarding intercepted radar signals. Errors such as radar station location errors, U...
A SAR Image Aircraft Target Detection and Recognition Network with Target Region Feature Enhancement
HAN Ping, ZHAO Han, LIAO Dayu, PENG Yanwen, CHENG Zheng
2024, 46(12): 4459-4470. doi: 10.11999/JEIT240491
Abstract:
In Synthetic Aperture Radar (SAR) image aircraft target detection and recognition, the discrete characteristics of aircraft target images and the similarity between structures can reduce the accuracy of aircraft detection and recognition. A SAR image...
High Sparsity and Low Sidelobe Near-field Focused Sparse Array for Three-Dimensional Imagery
YANG Lei, SONG Hao, SHEN Ruiyang, CHEN Yingjie, HU Zhongwei, HUO Xin, XING Mengdao
2024, 46(12): 4471-4482. doi: 10.11999/JEIT231278
Abstract:
In active electrical scanning millimeter-wave security imaging, the uniform array antenna has the bottleneck of uncontrolled cost and high complexity, which is difficult to be widely applied in practices. To this end, a near-field focused sparse arra...
Adaptive Fractional Fourier Transform Detection Method for Short Packets of Frequency-shifted Chirp Signal
XIU Menglei, DOU Gaoqi, FENG Shimin
2024, 46(12): 4483-4492. doi: 10.11999/JEIT240370
Abstract:
To address the pulse dispersion issue in detecting frequency-shifted chirp signals with traditional Fractional Fourier Transform (FrFT), an adaptive FrFT detection method is proposed in this paper. Leveraging the structural model of short packets and...
Research on Combined Navigation Algorithm Based on Adaptive Interactive Multi-Kalman Filter Modeling
CHEN Guangwu, WANG Siqi, SI Yongbo, ZHOU Xin
2024, 46(12): 4493-4503. doi: 10.11999/JEIT240426
Abstract:
Practical applications struggle to obtain prior knowledge about inertial systems and sensors, affecting information fusion and positioning accuracy in combined navigation systems. To address the degradation of integrated navigation performance due to...
Two-stage Long-correlation Signal Acquisition Method for Through-the-earth Communication of the Ground Electrode Current Field
XU Zhan, ZHANG Xu, YANG Xiaolong
2024, 46(12): 4504-4512. doi: 10.11999/JEIT240399
Abstract:
Wireless through-the-earth communication provides a solution for information transmission in heavily shielded space. The received current field signal has low Signal-to-Noise Ratio (SNR), is easily distorted, and is greatly affected by carrier freque...
Electromagnetic Sensitivity Analysis of Curved Boundaries under the Method of Accompanying Variables
ZHANG Yuxian, ZHU Haige, FENG Xiaoli, YANG Lixia, HUANG Zhixiang
2024, 46(12): 4513-4521. doi: 10.11999/JEIT240432
Abstract:
Sensitivity analysis an evaluation method for the influence with variations of the design parameters on electromagnetic performance, which is utilized to calculate sensitivity information. This information guides the analysis of structural models to ...
Image and Intelligent Information Processing
Design of Rotation Invariant Model Based on Image Offset Angle and Multibranch Convolutional Neural Networks
ZHANG Meng, LI Xiang, ZHANG Jingwei
2024, 46(12): 4522-4528. doi: 10.11999/JEIT240417
Abstract:
Convolutional Neural Networks (CNNs) exhibit translation invariance but lack rotation invariance. In recent years, rotating encoding for CNNs becomes a mainstream approach to address this issue, but it requires a significant number of parameters and ...
Adjacent Coordination Network for Salient Object Detection in 360 Degree Omnidirectional Images
CHEN Xiaolei, WANG Xing, ZHANG Xuegong, DU Zelong
2024, 46(12): 4529-4541. doi: 10.11999/JEIT240502
Abstract:
To address the issues of significant target scale variation, edge discontinuity, and blurring in 360° omnidirectional images Salient Object Detection (SOD), a method based on the Adjacent Coordination Network (ACoNet) is proposed. First, an adjacent ...
Emotion Recognition with Speech and Facial Images
XUE Peiyun, DAI Shutao, BAI Jing, GAO Xiang
2024, 46(12): 4542-4552. doi: 10.11999/JEIT240087
Abstract:
In order to improve the accuracy of emotion recognition models and solve the problem of insufficient emotional feature extraction, this paper conducts research on bimodal emotion recognition involving audio and facial imagery. In the audio modality, ...
LGDNet: Table Detection Network Combining Local and Global Features
LU Di, YUAN Xuan
2024, 46(12): 4553-4562. doi: 10.11999/JEIT240428
Abstract:
In the era of big data, table widely exists in various document images, and table detection is of great significance for the reuse of table information. In response to issues such as limited receptive field, reliance on predefined proposals, and inac...
Frequency Separation Generative Adversarial Super-resolution Reconstruction Network Based on Dense Residual and Quality Assessment
HAN Yulan, CUI Yujie, LUO Yihong, LAN Chaofeng
2024, 46(12): 4563-4574. doi: 10.11999/JEIT240388
Abstract:
With generative adversarial networks have attracted much attention because they provide new ideas for blind super-resolution reconstruction. Considering the problem that the existing methods do not fully consider the low-frequency retention character...
Circuit and System Design
A System-level Exploration and Evaluation Simulator for chiplet-based CPU
ZHANG Congwu, LIU Ao, ZHANG Ke, CHANG Yisong, BAO Yungang
2024, 46(12): 4575-4588. doi: 10.11999/JEIT240299
Abstract:
As Moore’s Law comes to an end, it is more and more difficult to improve the chip manufacturing process, and chiplet technology has been widely adopted to improve the chip performance. However, new design parameters introduced into the chiplet archit...