{"title":"Fast Channel Estimation by Infinite Width Convolutional Networks","authors":"Guillaume Villemaud, Mohammed Mallik","doi":"10.1049/ell2.70385","DOIUrl":"10.1049/ell2.70385","url":null,"abstract":"<p>In wireless communications, estimation of channels in OFDM systems spans frequency and time, which relies on sparse collections of pilot data, posing an ill-posed inverse problem. Moreover, deep learning estimators require large amounts of training data, computational resources, and true channels to produce accurate channel estimates, which are not realistic. To address this, a convolutional neural tangent kernel (CNTK) is derived from an infinitely wide convolutional network whose training dynamics can be expressed by a closed-form equation. This CNTK is used to impute the target matrix and estimate the missing channel response using only the known values available at pilot locations. This is a promising solution for channel estimation that does not require a large training set. Numerical results on realistic channel datasets demonstrate that our strategy accurately estimates the channels without a large dataset and significantly outperforms deep learning methods in terms of speed, accuracy, and computational resources.</p>","PeriodicalId":11556,"journal":{"name":"Electronics Letters","volume":"61 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2025-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/ell2.70385","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144815087","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}
Minwu Chen, Jiahao Jiang, Jiang Lu, Lei Wang, Chuanqi Wang
{"title":"Power Quality Enhancement of Dual Mode Traction Power Supply System Based on Power Hub","authors":"Minwu Chen, Jiahao Jiang, Jiang Lu, Lei Wang, Chuanqi Wang","doi":"10.1049/ell2.70376","DOIUrl":"10.1049/ell2.70376","url":null,"abstract":"<p>In order to solve the problems of AC negative sequence (NS) and DC traction network voltage fluctuation in dual mode traction power supply system (TPSS), this study proposes dual mode TPSS based on power hub. It can fully compensate AC NS by co-phase power supply technology. Furthermore, it integrates coordinated power flow management among the AC grid, DC traction network, and energy storage system, enabling both efficient utilization of regenerative braking energy (RBE) and peak load shaving, thereby effectively stabilizing DC link voltage fluctuations. Consequently, an overall control strategy with a hierarchical structure is developed. In the upper layer, a cooperative compensation algorithm with constraints of AC NS and DC traction network voltage is designed to calculate the port compensation power. The lower layer ensures stable system operation and precise compensation by controlling multiple converters in accordance with upper-layer commands. The experimental results show that the VU is compensated to close to 0 and the DC voltage is stable in the safe range under different operating conditions.</p>","PeriodicalId":11556,"journal":{"name":"Electronics Letters","volume":"61 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2025-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/ell2.70376","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145122626","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}
{"title":"Direction-of-Arrival Estimation Using Deep Learning With Covariance Matrix Reconstruction Under Limited Snapshots","authors":"Yonghong Zhao, Jisong Liu, Xiumei Fan, Hongbo Cao","doi":"10.1049/ell2.70373","DOIUrl":"10.1049/ell2.70373","url":null,"abstract":"<p>Under low-snapshot conditions, traditional direction-of-arrival (DOA) estimation suffers from covariance instability, while existing deep learning methods rely on complex architectures. This letter proposes a hybrid approach that combines model-driven and data-driven theories to strike a balance between estimation performance and computational cost. We reconstruct a structured covariance matrix by applying adaptive diagonal loading. The reconstructed matrix is then transformed into a two-channel input and fed into the proposed squeeze-and-excitation multi-scale deep convolutional network (SE-MSDCN). DOA estimates are obtained via a sub-grid peak interpolation strategy. The experimental results and our analysis validate the efficiency and superiority of the proposed method.</p>","PeriodicalId":11556,"journal":{"name":"Electronics Letters","volume":"61 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2025-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/ell2.70373","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145122622","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}
{"title":"Energy-Efficient UAV-Assisted Covert Communication in WSN With Finite Blocklength","authors":"Wennan Chu, Shuang Zhang, Yining Xu, Xingyu Yao, Yanan Gao, Weichen Cai, Wen Tian, Huaifeng Shi","doi":"10.1049/ell2.70366","DOIUrl":"10.1049/ell2.70366","url":null,"abstract":"<p>Wireless sensor network (WSN) is a critical component of the Internet of Things. To address the security threats in WSN, finite blocklength-based covert communication has emerged as a promising method to protect data from eavesdropping and improve reliability under practical constraints. However, this security communication method poses significant energy challenges, especially in three-dimensional WSNs with non-line-of-sight communication and strict covert constraints. To address this issue, we propose a jointly optimizing UAV trajectory and wake-up scheduling method (JOUTWUSM) for finite blocklength covert communication in WSN. By jointly optimizing the UAV's trajectory and wake-up scheduling, the proposed method effectively balances energy efficiency and communication reliability under finite blocklength covert communication constraints. Simulation results demonstrate that the proposed JOUTWUSM significantly reduces energy consumption and improves data collection efficiency.</p>","PeriodicalId":11556,"journal":{"name":"Electronics Letters","volume":"61 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2025-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/ell2.70366","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144782253","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}
{"title":"Demonstration of 15% Efficient Optical Wireless Power Transmission Over 1 km With Atmospheric Turbulence","authors":"Natsuha Ochiai, Yohei Toriumi, Kazuto Kashiwakura, Saki Ota, Kengo Yamaguchi, Yuki Mando, Yoshiaki Takeuchi, Madoka Takahashi, Yoichiro Tsumura","doi":"10.1049/ell2.70379","DOIUrl":"10.1049/ell2.70379","url":null,"abstract":"<p>Optical wireless power transmission has attracted attention in recent years, and improvement of efficiency has become an important issue. In this paper, we demonstrate a highly efficient energy transmission system under strong atmospheric turbulence. A diffractive optical element integrated in the transmitter and a homogenizer implemented before photovoltaic (PV) panel in the receiver were employed to uniformise the beam intensity distribution. Further, the output current extracted via silicon PV, which fluctuates due to turbulence, was smoothed using capacitors mounted on the PV panel. Transmission efficiency of 15% was achieved in which the laser beam of the optical power of 1035 W was transmitted for 1 km under strong turbulence and converted to electric power of 152 W.</p>","PeriodicalId":11556,"journal":{"name":"Electronics Letters","volume":"61 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2025-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/ell2.70379","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144782255","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}
{"title":"Vision Channel Knowledge Map-Aided mmWave Beam Selection in V2I Communications","authors":"Changpeng Zhou, Youyun Xu, Xiaoming Wang, Liu Liu, Tingting Zhang, Huawei Tong","doi":"10.1049/ell2.70370","DOIUrl":"10.1049/ell2.70370","url":null,"abstract":"<p>Vision-aided millimetre wave beam selection has gained widespread attention because of its ability to reduce pilot overhead. However, its practical deployment faces challenges due to image transmission latency and high computational overhead. In this letter, we propose a novel environment-aware communication method called the vision channel knowledge map (VCKM), which minimises redundant image information and improves beam selection performance. To evaluate the method, we use the ViWi colo-cam scenario dataset, simulation results show that the VCKM-aided beam selection has better performance than the existing solutions.</p>","PeriodicalId":11556,"journal":{"name":"Electronics Letters","volume":"61 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2025-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/ell2.70370","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144782254","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}
{"title":"Self-Organising Distributed Multi-Robot Task Assignment System Based on Ring Network","authors":"Ji-Wook Kwon, Sung-Jo Yun, Hyogon Kim, Jungwoo Lee, Na-Hyun Lee, Young-Ho Choi, Goobong Chung","doi":"10.1049/ell2.70380","DOIUrl":"10.1049/ell2.70380","url":null,"abstract":"<p>This letter proposes a self-organising distributed task assignment algorithm based on a ring network for multi-robot systems. Unlike conventional multi-robot task assignment methods, the proposed approach enables task assignment through simple data exchange, without the need for a supervisor, global synchronisation and leader election. To evaluate the proposed method, simulations were conducted with seven robots and variable task durations. Results show that all tasks were successfully assigned with balanced distribution. The optimal algorithm consistently chose the robot with the lowest execution cost, demonstrating efficient allocation without centralised control.</p>","PeriodicalId":11556,"journal":{"name":"Electronics Letters","volume":"61 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2025-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/ell2.70380","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144782256","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}
Zhangfan Ye, Qi Li, Gong Li, Wenjun Ou, Mingkui Zheng
{"title":"An Adaptive Point Cloud Downsampling Method for Large-Scale Outdoor LiDAR Point Cloud Registration","authors":"Zhangfan Ye, Qi Li, Gong Li, Wenjun Ou, Mingkui Zheng","doi":"10.1049/ell2.70363","DOIUrl":"10.1049/ell2.70363","url":null,"abstract":"<p>One of the characteristics of outdoor scene point clouds is their large quantity, so it demands substantial computational resources for processing. Sampling thus plays a critical role in efficient processing. Most existing methods overlook scene and task-specific characteristics, relying solely on global point distribution. To address this, we propose an adaptive downsampling strategy for large-scale outdoor light detection and ranging (LiDAR) point cloud registration. By statistically analyzing semantic labels, we separate foreground and background point clouds, recognizing that background categories may vary across scenes. We then sample high-curvature points from the background and contour points from the foreground to preserve discriminative spatial distribution features. Extensive experiments on outdoor datasets demonstrate that our method achieves comparable performance to state-of-the-art methods.</p>","PeriodicalId":11556,"journal":{"name":"Electronics Letters","volume":"61 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2025-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/ell2.70363","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144773521","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}
{"title":"Randomised Jammer Activation for Physical Layer Security: A Probabilistic Approach to Thwart Multi-Antenna Eavesdroppers","authors":"Yanqing Liu, Jiancheng Sun, Liang Dong","doi":"10.1049/ell2.70378","DOIUrl":"10.1049/ell2.70378","url":null,"abstract":"<p>We study a wireless communication system consisting of a transmitter, a legitimate receiver, multi-antenna eavesdroppers and randomly distributed friendly jammers. A secrecy guard zone surrounds the transmitter, within which eavesdroppers can be detected or denied entry. To counter the multi-antenna eavesdroppers' ability to mitigate jamming, we propose a randomised activation strategy where jammers independently transmit artificial noise with a probability. We derive closed-form expressions for the transmission probability and secrecy outage probability, and develop an optimisation framework to adjust the rates of transmitted codewords and confidential messages. Simulation results validate our analytical derivations and demonstrate that the proposed strategy effectively maximises secrecy throughput while maintaining the secrecy outage probability below a specified threshold.</p>","PeriodicalId":11556,"journal":{"name":"Electronics Letters","volume":"61 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2025-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/ell2.70378","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144764110","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}
{"title":"Cosecant-Squared Pattern Synthesis for Compact Antenna Arrays Based on Regional Root Allocation","authors":"Zhaoyi Wang, Jun Xu, Wanjing Huang, Hongji Fan, Zhiqiang Yu, Jianyi Zhou","doi":"10.1049/ell2.70372","DOIUrl":"10.1049/ell2.70372","url":null,"abstract":"<p>To meet the communication and sensing demands of unmanned aerial vehicles in urban low-altitude airspace, this letter proposes a low-sidelobe, cosecant-squared pattern synthesis method based on a compact antenna array. By employing a 0.25-wavelength element spacing, the array provides increased degrees of freedom for radiation pattern synthesis. A root-moving method with complex-plane, regional root allocation is introduced and combined with the cuckoo search (CS) algorithm to synthesize low-sidelobe, cosecant-squared radiation patterns. A compact 32-element magnetic dipole antenna array is designed and fabricated for the U6G band, capable of switching between a wide-angle scanning beam and a cosecant-squared shaped beam. Results show that the array achieves a scanning range greater than 130° and a peak gain of 19.5 dBi for the scanning beam pattern. For the cosecant-squared pattern, it achieves a maximum sidelobe level (SLL) of −27.5 dB and a main lobe gain of 17.0 dBi.</p>","PeriodicalId":11556,"journal":{"name":"Electronics Letters","volume":"61 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2025-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/ell2.70372","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144758519","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}