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IF 0.8 4区 工程技术
Electronics Letters Pub Date : 2025-12-30
{"title":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":11556,"journal":{"name":"Electronics Letters","volume":"62 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2025-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148099705","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
IF 0.8 4区 工程技术
Electronics Letters Pub Date : 2025-12-30
{"title":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":11556,"journal":{"name":"Electronics Letters","volume":"62 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2025-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148099712","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Deep-Learned Channel Estimation for MIMO-OFDM System by Exploiting Frequency-Space Correlation 基于频率空间相关的MIMO-OFDM系统深度学习信道估计
IF 0.8 4区 工程技术
Electronics Letters Pub Date : 2025-12-30 DOI: 10.1049/ell2.70514
Yiming Wei, Wenjun Jiang, Chenchen Liu, Xiaojun Yuan, Xiaojing Xu, Hua Rui
{"title":"Deep-Learned Channel Estimation for MIMO-OFDM System by Exploiting Frequency-Space Correlation","authors":"Yiming Wei,&nbsp;Wenjun Jiang,&nbsp;Chenchen Liu,&nbsp;Xiaojun Yuan,&nbsp;Xiaojing Xu,&nbsp;Hua Rui","doi":"10.1049/ell2.70514","DOIUrl":"10.1049/ell2.70514","url":null,"abstract":"<p>In massive MIMO–OFDM systems, the accurate acquisition of channel state information is crucial for ensuring reliable data transmission. As the antenna array size and signal bandwidth increase, wireless channel often exhibits sparsity in the angular and delay domains. However, the random distribution of spatial angles poses a persistent challenge for convolutional neural networks to extract spatial features effectively for channel estimation. To address this issue, we proposes a novel channel estimation network termed the attentive residual autoencoder network. Leveraging an autoencoder architecture enhanced with attention mechanisms and residual connections, the proposed method effectively captures frequency-space correlation. Numerical results show that the proposed algorithm significantly outperforms existing channel estimation methods.</p>","PeriodicalId":11556,"journal":{"name":"Electronics Letters","volume":"62 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2025-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/ell2.70514","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145887962","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Abnormal Power Usage Detection: A Metrics-Based Scheme for Low Sampling Data 低采样数据下基于指标的异常电量检测方案
IF 0.8 4区 工程技术
Electronics Letters Pub Date : 2025-12-30 DOI: 10.1049/ell2.70511
Yu Liu, Yuting Wei, Chenhui Bai, Shunyi Zhang, Xin Zhao, Shan Gao
{"title":"Abnormal Power Usage Detection: A Metrics-Based Scheme for Low Sampling Data","authors":"Yu Liu,&nbsp;Yuting Wei,&nbsp;Chenhui Bai,&nbsp;Shunyi Zhang,&nbsp;Xin Zhao,&nbsp;Shan Gao","doi":"10.1049/ell2.70511","DOIUrl":"10.1049/ell2.70511","url":null,"abstract":"<p>Abnormal power usage detection is vital for power system security and efficient energy use. Existing methods are hampered by low sampling rates, insufficient feature extraction, and limited accuracy, which impede cost effective large scale deployment and raise privacy concerns. This paper proposes a low frequency electrical characteristic based abnormal power usage detection scheme. First, an abnormal power usage detection model is constructed by coupling active power and power factor under low frequency measurement conditions of existing smart meters. Second, the scheme embraces non-intrusive load monitoring (NILM) to safeguard user privacy and markedly reduce computational burden. Validation based on smart meter data indicates that the proposed scheme offers a more efficient, simpler, and more cost-effective solution for deploying advanced NILM-based metering systems in residential settings.</p>","PeriodicalId":11556,"journal":{"name":"Electronics Letters","volume":"62 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2025-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/ell2.70511","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145891604","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
IF 0.8 4区 工程技术
Electronics Letters Pub Date : 2025-12-30
{"title":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":11556,"journal":{"name":"Electronics Letters","volume":"62 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2025-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148099706","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Novel Lightweight and High-Performance Detection Framework for Signal Detection in Wideband Spectrogram 一种用于宽带频谱图信号检测的新型轻量级高性能检测框架
IF 0.8 4区 工程技术
Electronics Letters Pub Date : 2025-12-30 DOI: 10.1049/ell2.70506
Deming Hu, Shudong Yuan, Yongjie Zhao, Honghe Huang, Longqing Li
{"title":"A Novel Lightweight and High-Performance Detection Framework for Signal Detection in Wideband Spectrogram","authors":"Deming Hu,&nbsp;Shudong Yuan,&nbsp;Yongjie Zhao,&nbsp;Honghe Huang,&nbsp;Longqing Li","doi":"10.1049/ell2.70506","DOIUrl":"10.1049/ell2.70506","url":null,"abstract":"<p>With the explosive growth of Internet of Things (IoT) devices, broadband signal detection in low-signal-to-noise ratio (SNR) non-cooperative environments faces severe challenges. Although deep learning has been widely applied to broadband spectrum signal detection, existing research on low-SNR environments remains insufficient. In such scenarios, the time-frequency representations of signals are highly susceptible to noise interference, resulting in difficulties in feature extraction and high false alarm and miss detection rates for existing deep learning models. Meanwhile, due to their high computational complexity, most deep learning models fail to meet the real-time processing requirements for massive data. Therefore, achieving high precision and fast detection of broadband signals under low SNR has become an urgent problem that needs to be solved. This letter introduces two lightweight modules, namely LFSI-DH and EOMFE, and integrates them into the YOLOv8 framework. Experiments demonstrate that the framework reduces complexity and improves accuracy compared to the YOLOv8, offering a viable edge device spectrum monitoring solution. Comparative analysis further validates its superiority in detection accuracy.</p>","PeriodicalId":11556,"journal":{"name":"Electronics Letters","volume":"62 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2025-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/ell2.70506","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145891605","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Collaborative Beamforming for Multi-Target Localization Using Passive Anchors 基于被动锚的协同波束形成多目标定位
IF 0.8 4区 工程技术
Electronics Letters Pub Date : 2025-12-30 DOI: 10.1049/ell2.70510
Xingjun Lai, Hongyuan Liu, Xiaofan Li, Yubin Zhao
{"title":"Collaborative Beamforming for Multi-Target Localization Using Passive Anchors","authors":"Xingjun Lai,&nbsp;Hongyuan Liu,&nbsp;Xiaofan Li,&nbsp;Yubin Zhao","doi":"10.1049/ell2.70510","DOIUrl":"10.1049/ell2.70510","url":null,"abstract":"<p>Using wireless passive sensor nodes as anchors is a cost-effective way for localization system. However, the quality of ranging information is determined by the power of request signal from the active targets. Thus, localization accuracy is influenced by the location request and transmission power allocation schemes. In this letter, we provide the Fisher information matrix of multiple active target localization using passive anchors. Further, we propose a joint collaborative beamforming strategy to optimize the localization accuracy considering the power constraints and localization availability constraints. The proposed strategy employs a two-stage semidefinite programming to fully exploit the spatial correlation. Simulation results demonstrate that our proposed strategy outperforms other schemes in improving the localization performance.</p>","PeriodicalId":11556,"journal":{"name":"Electronics Letters","volume":"62 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2025-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/ell2.70510","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145891603","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
IF 0.8 4区 工程技术
Electronics Letters Pub Date : 2025-12-30
{"title":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":11556,"journal":{"name":"Electronics Letters","volume":"62 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2025-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148099704","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Deep Superpixel Prior Fuzzy C-Means Clustering With Weighted Local Entropy for Image Segmentation 基于加权局部熵的深度超像素先验模糊c均值聚类图像分割
IF 0.8 4区 工程技术
Electronics Letters Pub Date : 2025-12-22 DOI: 10.1049/ell2.70503
Guoxia Xu, Tianxiang Suo, Zijie Kong, Lizhen Deng, Hu Zhu
{"title":"Deep Superpixel Prior Fuzzy C-Means Clustering With Weighted Local Entropy for Image Segmentation","authors":"Guoxia Xu,&nbsp;Tianxiang Suo,&nbsp;Zijie Kong,&nbsp;Lizhen Deng,&nbsp;Hu Zhu","doi":"10.1049/ell2.70503","DOIUrl":"10.1049/ell2.70503","url":null,"abstract":"<p>The traditional fuzzy c-means (FCM) clustering method is widely used in image segmentation and other applications. However, it is prone to noise and leads to under-segmentation. In this work, we propose a deep superpixel prior fuzzy c-means (DSP-FCM) clustering method for image segmentation as a new framework for expanding the deep neural network prior into existing iterative optimisation beyond traditional clustering models. The key insight is that the DSP is generated from an existing segmentation-based neural network, which enables us to derive an explicit variational formulation for capturing DSP and traditional superpixel prior together. Furthermore, a weighted local entropy is designed to minimise intra-class dispersion and maximise inter-class entropy. The overall framework suppresses noise and outlier influence and demonstrates superior performance through extensive experiments (on natural and medical image datasets) compared with existing state-of-the-art methods.</p>","PeriodicalId":11556,"journal":{"name":"Electronics Letters","volume":"61 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2025-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/ell2.70503","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145824840","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
An Omnidirectional Radiating Dielectric Loaded Slot Antenna Irrespective of Ground Plane Scalability 一种不考虑地平面可扩展性的全向辐射介质加载槽天线
IF 0.8 4区 工程技术
Electronics Letters Pub Date : 2025-12-21 DOI: 10.1049/ell2.70509
Yantong Wang, Muyessar Mamatzunun, Guangyin Wang, Yuqiang Che
{"title":"An Omnidirectional Radiating Dielectric Loaded Slot Antenna Irrespective of Ground Plane Scalability","authors":"Yantong Wang,&nbsp;Muyessar Mamatzunun,&nbsp;Guangyin Wang,&nbsp;Yuqiang Che","doi":"10.1049/ell2.70509","DOIUrl":"10.1049/ell2.70509","url":null,"abstract":"<p>This letter introduces a dielectric-load slot antenna, which maintains an omnidirectional radiation pattern even when the size of the ground plane varies. The antenna comprises four slots arranged circumferentially and loaded with a strategically designed dielectric structure (DS). This DS reshapes the electric field distribution of the slots, forming an equivalent electric dipole that radiates omnidirectionally. Importantly, the reconfigured field and the resulting equivalent dipole remain unaffected as the ground plane enlarges, enabling consistent performance across different ground plane sizes. A prototype was fabricated and tested for validation. Measurement results show an omnidirectional pattern in the <i>θ</i> = 90° plane, with a maximum gain in that plane and a cross-polarization level below −10 dB.</p>","PeriodicalId":11556,"journal":{"name":"Electronics Letters","volume":"61 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2025-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/ell2.70509","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145825003","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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