Chinese Journal of Electronics最新文献_第2页

Particle Swarm Optimization for Adaptive-Critic Feedback Control with Power System Applications 电力系统自适应临界反馈控制的粒子群优化

IF 3 4区计算机科学

Chinese Journal of Electronics Pub Date : 2025-07-01 DOI: 10.23919/cje.2024.00.287

Ding Wang;Jin Ren;Haiming Huang;Junfei Qiao

引用次数: 0

Robust Path Planning for Multiple UAVs Considering Position Uncertainty 考虑位置不确定性的多无人机鲁棒路径规划

IF 3 4区计算机科学

Chinese Journal of Electronics Pub Date : 2025-07-01 DOI: 10.23919/cje.2024.00.015

Liang Xu;Xianbin Cao;Wenbo Du;Yumeng Li

{"title":"Robust Path Planning for Multiple UAVs Considering Position Uncertainty","authors":"Liang Xu;Xianbin Cao;Wenbo Du;Yumeng Li","doi":"10.23919/cje.2024.00.015","DOIUrl":"https://doi.org/10.23919/cje.2024.00.015","url":null,"abstract":"With the widespread application of unmanned aerial vehicles (UAVs), the issue of path planning has become increasingly significant in search of suitable paths for UAVs. However, positioning errors may exist in the system carried by the UAV in practical situations, leading to the suboptimal or even unsafe path execution. In view of this, we construct the multi-UAV robust path planning model under position uncertainty by incorporating several important considerations. This can be expressed as a complicated robust optimization problem, aiming to obtain a robust optimal path for each UAV in the presence of positioning errors. Based on this, we introduce the corresponding overall cost function and its expected expression for robust evaluation. Then, we propose a novel robust particle swarm optimization (PSO) algorithm, which employs the scale-free topology to characterize the individual interactions in the swarm. And an improved explicit sampling technique is developed by introducing a sampling coefficient, where the number of samples increases proportional to the degree value for a particle in PSO, allowing effective robustness evaluation for each solution. The proposed algorithm shows great advantages on benchmark functions, compared with some other robust PSO algorithms. Further, we present the specific implementation of the multi-UAV robust path planning method based on the proposed algorithm. Finally, simulation experiments on various path planning scenarios and comparison results indicate the superiority of the developed method, which can plan a robust and effective path for each UAV.","PeriodicalId":50701,"journal":{"name":"Chinese Journal of Electronics","volume":"34 4","pages":"1120-1135"},"PeriodicalIF":3.0,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11151182","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144990315","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Human Mobility-Driven Offloading and Resource Allocation in MEC-Enabled WBANs MEC-Enabled wban中人力移动性驱动的卸载和资源分配

IF 3 4区计算机科学

Chinese Journal of Electronics Pub Date : 2025-07-01 DOI: 10.23919/cje.2024.00.302

Rongrong Zhang;Chen Zhou;Yong Guan;Guangfei Chen;Haoquan Zhou

{"title":"Human Mobility-Driven Offloading and Resource Allocation in MEC-Enabled WBANs","authors":"Rongrong Zhang;Chen Zhou;Yong Guan;Guangfei Chen;Haoquan Zhou","doi":"10.23919/cje.2024.00.302","DOIUrl":"https://doi.org/10.23919/cje.2024.00.302","url":null,"abstract":"Wireless body area networks (WBANs) have attracted significant attention as a key enabling technology within Internet of things, facilitating the realization of inhome health-care monitoring systems. However, due to the characteristics of limited energy resource and computing capability, it is difficult for WBANs to execute all computation tasks timely and effectively at home. In this paper, we devote to developing a human mobility-driven computational data offloading and resource allocation scheme based on mobile cloud computing and mobile edge computing (MEC) for WBANs. Technically, we consider a typical three-tier system architecture comprising one remote cloud server, multiple mobile edge servers (MESs), and various WBAN users. Subsequently, an optimization problem is formulated with the objective of minimizing the total cost in terms of data processing time and energy consumption. To investigate the impact of human mobility, the transmission time between the WBANs and MESs is first solved by a bisection method. After that, we investigate a joint data offloading and resource allocation algorithm based on differential evolution and Lagrange multiplier algorithm, called DE-LM, to minimize the data processing time, reduce the energy consumption of WBANs, and balance the workload of MESs. Extensive simulation results demonstrate that our proposed DE-LM scheme achieves superior performance in terms of the total cost and load balancing.","PeriodicalId":50701,"journal":{"name":"Chinese Journal of Electronics","volume":"34 4","pages":"1331-1343"},"PeriodicalIF":3.0,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11151223","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144990127","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Vortex EM Wave-Based Rotation Speed Monitoring on Commodity WiFi 基于涡流电磁波的商用WiFi转速监测

IF 3 4区计算机科学

Chinese Journal of Electronics Pub Date : 2025-07-01 DOI: 10.23919/cje.2024.00.146

Leiyang Xu;Xiaolong Zheng;Liang Liu

{"title":"Vortex EM Wave-Based Rotation Speed Monitoring on Commodity WiFi","authors":"Leiyang Xu;Xiaolong Zheng;Liang Liu","doi":"10.23919/cje.2024.00.146","DOIUrl":"https://doi.org/10.23919/cje.2024.00.146","url":null,"abstract":"In industry, various machinery involves spinning components, and monitoring their rotation speed is important for predicting the operation state. There are many approaches for rotation speed estimation, each with its own limitations, e.g., traditional contact methods, requiring specialized equipment, non-contact methods, such as optical methods affected by illumination and occlusion, and acoustic methods, susceptible to environmental noise. Radio frequency signals like wireless fidelity (WiFi) can provide non-intrusive approach for rotation sensing. However, conventional WiFi sensing struggles to capture self-spinning objects when there is no radial motion towards or away from the WiFi transceivers. This paper proposes a rotation speed estimation method based on vortex electromagnetic (EM) waves. By using a q-shaped patch antenna on commodity WiFi, vortex EM waves with spiral phase front can be transmitted in WiFi communication channel. When these vortex EM waves interact with the surface of a self-spinning object, the echos exhibit a frequency shift compared to the original wave. This frequency shift is proportional to the object's rotation speed, and is known as the rotational Doppler effect. This paper first derives the mathematical relationship between WiFi channel state information (CSI) and rotational Doppler frequency shift (RDS), and we design a series of signal processing methods to extract RDS from WiFi CSI, achieving the rotation speed estimation of self-spinning targets. Experimental results show that this method is applicable to a rotation speed range of 0–7000 rpm, with an relative error within 5%.","PeriodicalId":50701,"journal":{"name":"Chinese Journal of Electronics","volume":"34 4","pages":"1344-1356"},"PeriodicalIF":3.0,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11151251","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144990128","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Novel Method to Acquire Circuit Transmission Characteristics by Noncontact Power Injection and Detection 一种非接触功率注入检测获取电路传输特性的新方法

IF 3 4区计算机科学

Chinese Journal of Electronics Pub Date : 2025-07-01 DOI: 10.23919/cje.2024.00.148

Yanhua Peng;Hui Xu;Shuo Cui;Donglin Su

{"title":"A Novel Method to Acquire Circuit Transmission Characteristics by Noncontact Power Injection and Detection","authors":"Yanhua Peng;Hui Xu;Shuo Cui;Donglin Su","doi":"10.23919/cje.2024.00.148","DOIUrl":"https://doi.org/10.23919/cje.2024.00.148","url":null,"abstract":"To address problematic circuit transmission characteristics, test terminals are needed. In this study, an innovative method for determining the transmission characteristics of circuits by employing two semirigid coaxial probes with a T-shaped structure for signal injection and detection is developed. Initially, the proposed method can obtain circuit characteristics from 100 kHz to 10 GHz with a separation distance between the probes greater than 28 mm and a separation distance between the microstrip lines at the location of the injected and detected signals greater than 1.6 mm. Subsequently, an equivalent circuit model is proposed and validated through a 10 GHz measurement on a microstrip line, obtaining the root mean square error (RMSE) is 0.14 dB. Furthermore, the methodology is applied to measure the gain of a low-noise amplifier across frequencies from 100 MHz to 10 GHz. The maximum error is less than 1.66 dB, and the RMSE is 0.58 dB. Additionally, the transmission loss of parallel microstrip lines is investigated within the 3 GHz range, yielding the RMSE is 0.8 dB. The proposed approach enables precise testing of circuit transmission characteristics and facilitates the extraction of circuit equivalent parameters.","PeriodicalId":50701,"journal":{"name":"Chinese Journal of Electronics","volume":"34 4","pages":"1078-1090"},"PeriodicalIF":3.0,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11151233","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144990185","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A 25 kHz-BW 98.6 dB-SNR Multi-Bit Delta-Sigma Modulator with Data-Weighted Averaging 基于数据加权平均的25 kHz-BW 98.6 db信噪比多比特Delta-Sigma调制器

IF 3 4区计算机科学

Chinese Journal of Electronics Pub Date : 2025-07-01 DOI: 10.23919/cje.2024.00.131

Xinpeng Xing;Jing Xue;Gaofeng Luan;Haigang Feng

引用次数: 0

A Parallel Multi-Demonstrations Generative Adversarial Imitation Learning Approach on UAV Target Tracking Decision 无人机目标跟踪决策的并行多演示生成对抗模仿学习方法

IF 3 4区计算机科学

Chinese Journal of Electronics Pub Date : 2025-07-01 DOI: 10.23919/cje.2024.00.082

Haohui Zhang;Bo Li;Jingyi Huang;Chao Song;Pingkuan He;Evgeny Neretin

{"title":"A Parallel Multi-Demonstrations Generative Adversarial Imitation Learning Approach on UAV Target Tracking Decision","authors":"Haohui Zhang;Bo Li;Jingyi Huang;Chao Song;Pingkuan He;Evgeny Neretin","doi":"10.23919/cje.2024.00.082","DOIUrl":"https://doi.org/10.23919/cje.2024.00.082","url":null,"abstract":"Aiming at the problems of autonomous decision-making and local convergence that occur in traditional reinforcement learning in the unmanned aerial vehicle (UAV) target tracking, this paper proposes a parallel multi-demonstrations generative adversarial imitation reinforcement learning algorithm to achieve control of UAVs and allow them quickly track the target. First, we classify different expert demonstrations according to different tasks to maximize the model to learn all expert experience. In addition, we develop a parallel multi-demonstrations training framework based on generative adversarial imitation learning, and design strategy update methods for different types of generators, which ensures the generalization ability of imitation learning while improving training efficiency. Finally, we integrate deep reinforcement learning with imitation learning. During the initial training phase, our focus lies in imitation learning while periodically transferring expert knowledge to the pool of reinforcement learning experiences. In the later stages, we increase the proportion of reinforcement learning training and achieve effective UAV target tracking through fine-tuning the weights obtained from reinforcement learning. Experimental results demonstrate that compared to existing reinforcement learning algorithms, our algorithm effectively mitigates issues such as local convergence and completes training in a shorter time frame, ensuring stable target tracking by UAVs.","PeriodicalId":50701,"journal":{"name":"Chinese Journal of Electronics","volume":"34 4","pages":"1185-1198"},"PeriodicalIF":3.0,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11151173","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144990198","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Dual-Decoupling and Multi-Level Feature Integration for Cross-Age Face Recognition 跨年龄人脸识别的双解耦与多层次特征集成

IF 3 4区计算机科学

Chinese Journal of Electronics Pub Date : 2025-07-01 DOI: 10.23919/cje.2024.00.260

Wentao Duan;Min Zhi;Ping Ping;Yuening Zhang;Xuanhao Qi;Wei Hu;Zhe Lian

{"title":"Dual-Decoupling and Multi-Level Feature Integration for Cross-Age Face Recognition","authors":"Wentao Duan;Min Zhi;Ping Ping;Yuening Zhang;Xuanhao Qi;Wei Hu;Zhe Lian","doi":"10.23919/cje.2024.00.260","DOIUrl":"https://doi.org/10.23919/cje.2024.00.260","url":null,"abstract":"Efficient decoupling of rich facial features is crucial in the realm of cross-age face recognition. A novel strategy for cross-age facial recognition is proposed, focusing on the dual decoupling of multilevel features to optimize the extraction and processing of identity-related features. The method begins with multilevel feature extraction on facial images through convolutional neural networks, acquiring a series of low-dimensional and high-dimensional hybrid features, which are then effectively integrated. Subsequently, these fused features are introduced into both linear and nonlinear decomposition units. Under the supervision of multitask training, features related to individual identities are decoupled. Finally, the extracted identity features are utilized to perform cross-age facial recognition tasks. When evaluated on multiple standard cross-age facial recognition datasets and standard universal facial recognition datasets, the method demonstrates high accuracy, highlighting its significant advantages in effectiveness and generalizability.","PeriodicalId":50701,"journal":{"name":"Chinese Journal of Electronics","volume":"34 4","pages":"1321-1330"},"PeriodicalIF":3.0,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11151250","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144990279","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Variational Dropout for Differentiable Neural Architecture Search 可微神经结构搜索的变分Dropout

IF 3 4区计算机科学

Chinese Journal of Electronics Pub Date : 2025-07-01 DOI: 10.23919/cje.2024.00.183

Yaoming Wang;Yuchen Liu;Wenrui Dai;Chenglin Li;Xiaopeng Zhang;Junni Zou;Hongkai Xiong

{"title":"Variational Dropout for Differentiable Neural Architecture Search","authors":"Yaoming Wang;Yuchen Liu;Wenrui Dai;Chenglin Li;Xiaopeng Zhang;Junni Zou;Hongkai Xiong","doi":"10.23919/cje.2024.00.183","DOIUrl":"https://doi.org/10.23919/cje.2024.00.183","url":null,"abstract":"Differentiable neural architecture search (NAS) greatly accelerates the architecture search while re-taining enough search space. However, existing differentiable NAS is vague in distinguishing candidate operations using the relative magnitude of architectural parameters and suffers from instability and low performance. In this paper, we propose a novel probabilistic framework for differentiable NAS, named variational dropout for neural architecture search (VDNAS), that leverages variational dropout to achieve reformulated super-net sparsification for differentiable NAS. We propose a hierarchical structure to simultaneously enable operation sampling and explicit topology optimization via variational dropout. Specifically, for operation sampling, we develop semi-implicit variational dropout to enable selection of multiple operations and suppress the over-selection of skip-connect operation. We introduce embedded sigmoid relaxation to alleviate the biased gradient estimation in semi-implicit variational dropout to ensure the stability in sampling of architectures and optimization of architectural parameters. Furthermore, we design operation reparameterization to aggregate multiple sampling operations on the same edge to improve the shallow and wide architectures induced by multiple-operation sampling and enhance the transferring ability to large-scale datasets. Experimental results demonstrate that the proposed approaches achieve state-of-the-art performance with top-1 error rates of 2.45% and 15.76% on CIFAR-10/100. Remarkably, when transferred to ImageNet, the proposed approaches searched on CIFAR-10 outperform existing methods searched directly on ImageNet with only 10% of the search cost.","PeriodicalId":50701,"journal":{"name":"Chinese Journal of Electronics","volume":"34 4","pages":"1247-1264"},"PeriodicalIF":3.0,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11151177","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144990312","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Beam Reconfigurable Bidirectional Reflection/Transmission Array Antenna 波束可重构双向反射/传输阵列天线

IF 3 4区计算机科学

Chinese Journal of Electronics Pub Date : 2025-07-01 DOI: 10.23919/cje.2024.00.150

Chi Zhang;Zehua Wang;Dongyang Lu;Qian Lu;Yongji Du;Ruozhou Li;Jing Yan;Ying Yu

{"title":"A Beam Reconfigurable Bidirectional Reflection/Transmission Array Antenna","authors":"Chi Zhang;Zehua Wang;Dongyang Lu;Qian Lu;Yongji Du;Ruozhou Li;Jing Yan;Ying Yu","doi":"10.23919/cje.2024.00.150","DOIUrl":"https://doi.org/10.23919/cje.2024.00.150","url":null,"abstract":"In this paper, we propose a 1-bit reconfigurable bidirectional transmission/reflection array (TRA) antenna. The TRA adopts a two-layer compact unit structure to achieve transmission and reflection modes simultaneously. Two PIN diodes have been applied to the unit to complement 1-bit quantification for beam scanning. Then a reconfigurable array antenna composed of 14 × 14 elements is designed, manufactured, and measured at 9.2 GHz. The peak gain of transmission and reflection reaches 17.41 dBi and 16.74 dBi, respectively, when the beam scans within the range of ±60°. The aperture efficiency of 10.57% in transmission and 9.06% in reflection have been attained. Based on this, a 1-bit reconfigurable bidirectional dual-beam TRA has been attempted with the same unit. The phase synthesis method is utilized in dual-beam TRA design. The transmission and reflection peak gains for symmetrical dual-beam of equal amplitude reach 13.64 dBi and 12.63 dBi, respectively, with a scanning angle of ±10°, and 13.86 dBi and 13.01 dBi when the scanning angle is ±20°. The results demonstrate that the above designs have potential applications in communication and multi-target radar systems.","PeriodicalId":50701,"journal":{"name":"Chinese Journal of Electronics","volume":"34 4","pages":"1100-1110"},"PeriodicalIF":3.0,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11151184","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144990314","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0