IEEE Transactions on Antennas and Propagation最新文献_第6页

A Reconfigurable Gain-Filtering Reflectarray Using 1-bit SRR-Based Magnetoelectric Dipole 基于1位srr的磁电偶极子的可重构增益滤波反射阵列

IF 4.6 1区计算机科学

IEEE Transactions on Antennas and Propagation Pub Date : 2025-01-30 DOI: 10.1109/TAP.2025.3533886

Fulin Xue;Chenyang Meng;Yin Li;Guangyin Feng;Yifeng Qin;Chunxu Mao

{"title":"A Reconfigurable Gain-Filtering Reflectarray Using 1-bit SRR-Based Magnetoelectric Dipole","authors":"Fulin Xue;Chenyang Meng;Yin Li;Guangyin Feng;Yifeng Qin;Chunxu Mao","doi":"10.1109/TAP.2025.3533886","DOIUrl":"https://doi.org/10.1109/TAP.2025.3533886","url":null,"abstract":"This communication presents a novel broadband, highly frequency-selective reconfigurable reflectarray (RRA) utilizing magnetoelectric (ME) dipoles and a filtering bias network. The ME dipole employs a split-ring-resonator (SRR) structure, which inherently offers a high-band suppression characteristic. When combined with a wideband low-pass filtering bias network, the system achieves exceptional frequency selectivity. A p-i-n diode is strategically positioned at the virtual input port of the filtering network with high isolation between signal and dc bias, achieved through an integrated LC filter. By switching the p-i-n diode, a stable 180° phase difference is achieved across a broad bandwidth. The equivalent 1-bit manipulation, being highly band selective, enables the RRA to demonstrate an outstanding capability of gain-filtering beamforming. To validate the proposed concept, a reflectarray (RA) with <inline-formula> <tex-math>$28times 32$ </tex-math></inline-formula> cells was fabricated, and a field-programmable gate array (FPGA) board was used to control the states of each diode. Measurement results show that the RRA achieves a peak gain of 19.7 dBi and a 3-dB gain bandwidth of 29.6% from 10.5 to 14.2 GHz, closely aligning with simulation results. Notably, the RA maintains an excellent gain-filtering performance as the reflected beam is steered from 0° to 40°. The proposed reconfigurable gain-filtering RA presents a promising solution for multispectrum coexistent wireless communications.","PeriodicalId":13102,"journal":{"name":"IEEE Transactions on Antennas and Propagation","volume":"73 5","pages":"3412-3417"},"PeriodicalIF":4.6,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143918700","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Polarizability Tensors From Characteristic Modes 特征模的极化张量

IF 4.6 1区计算机科学

IEEE Transactions on Antennas and Propagation Pub Date : 2025-01-30 DOI: 10.1109/TAP.2025.3533910

Ana C. Escobar;Juan D. Baena;Lukas Jelinek

引用次数: 0

Design of Decoupling and Pattern Shaping Surface for MIMO Antennas Using the Multiport Optimization Method 基于多端口优化方法的MIMO天线解耦和方向整形曲面设计

IF 4.6 1区计算机科学

IEEE Transactions on Antennas and Propagation Pub Date : 2025-01-30 DOI: 10.1109/TAP.2025.3533885

Min Li;Yangyang He;Changfei Zhou;Yanming Zhang;Di Wu

{"title":"Design of Decoupling and Pattern Shaping Surface for MIMO Antennas Using the Multiport Optimization Method","authors":"Min Li;Yangyang He;Changfei Zhou;Yanming Zhang;Di Wu","doi":"10.1109/TAP.2025.3533885","DOIUrl":"https://doi.org/10.1109/TAP.2025.3533885","url":null,"abstract":"This article introduces a comprehensive method for designing a decoupling and pattern shaping surface (DPSS) specifically tailored for multiple-input-multiple-output (MIMO) antennas. It addresses the challenge posed by conventional decoupling surfaces, which often lack a systematic design methodology, thereby relying on time-consuming parameter optimization. Constructed from periodic metallic patches on a dielectric substrate and positioned above the coupled array, the DPSS enhances isolation and shapes radiation patterns. Formulas derived from scattering matrices and electric fields inform the determination of connection states between patches, subsequently translated into a binary optimization problem solvable via genetic algorithm (GA). Validation against two benchmarks underscores the efficacy of this approach, demonstrating significant improvements in isolation (below −20 dB), efficiency (over 75%), and a reduced envelope correlation coefficient (ECC), alongside proficient radiation-pattern shaping within the targeted frequency band. Moreover, the DPSS extends its applicability to multielement dual-polarized (DP) arrays, ensuring wideband performance and straightforward implementation.","PeriodicalId":13102,"journal":{"name":"IEEE Transactions on Antennas and Propagation","volume":"73 5","pages":"2927-2939"},"PeriodicalIF":4.6,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143929838","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimizing Fusion Skeleton for Multimodal Neural Network by Sequential Sampling to Efficiently Estimate Electromagnetic Response of Metasurfaces 利用序贯采样优化多模态神经网络融合骨架，有效估计超表面电磁响应

IF 4.6 1区计算机科学

IEEE Transactions on Antennas and Propagation Pub Date : 2025-01-30 DOI: 10.1109/TAP.2025.3533884

Qimin Ding;Guobin Wan;Nan Wang;Xin Ma

{"title":"Optimizing Fusion Skeleton for Multimodal Neural Network by Sequential Sampling to Efficiently Estimate Electromagnetic Response of Metasurfaces","authors":"Qimin Ding;Guobin Wan;Nan Wang;Xin Ma","doi":"10.1109/TAP.2025.3533884","DOIUrl":"https://doi.org/10.1109/TAP.2025.3533884","url":null,"abstract":"The skeleton to fuse features from both binarized patterns and vectorized structural parameters of metasurfaces is proposed to be optimized by the sequential sampling method for a better estimation of electromagnetic (EM) responses. By training a surrogate model with prior observations to estimate the posterior performance of fusion skeletons, the proposed method recognizes more promising fusion skeletons and samples them with a higher probability, and the sampled skeletons are used to further update the surrogate for a better estimation. To balance the exploration and exploitation during sampling iterations, a temperature-annealed sampling strategy is adopted. The proposed method is validated by optimizing the fusion skeleton of a multimodal model to estimate the EM responses of a complex frequency-selective rasorber and a metasurface absorber. Numeric results demonstrate that satisfying fusion skeletons can be found within several iterations so that the accuracy and efficiency of estimating EM responses are enhanced. A rough guideline can also be drawn that the fusion between late features from vectorized structural parameters and early features from binarized patterns should be prioritized for better estimation performance.","PeriodicalId":13102,"journal":{"name":"IEEE Transactions on Antennas and Propagation","volume":"73 3","pages":"1906-1911"},"PeriodicalIF":4.6,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143553078","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Complete Uniform Asymptotic Expansion of Dyadic Green’s Function for Dielectric Half-Space Including Plasmonic Media 含等离子体介质的介电半空间并矢格林函数的完全一致渐近展开式

IF 4.6 1区计算机科学

IEEE Transactions on Antennas and Propagation Pub Date : 2025-01-29 DOI: 10.1109/TAP.2025.3533258

Il-Suek Koh

引用次数: 0

A Novel Projection-Based Beam Ray Launching Method for Wireless Channel Modeling 用于无线信道建模的基于投影的新型光束发射方法

IF 4.6 1区计算机科学

IEEE Transactions on Antennas and Propagation Pub Date : 2025-01-28 DOI: 10.1109/TAP.2025.3532083

Yuyang Zhou;Cheng-Xiang Wang;Songjiang Yang;Yinghua Wang;Jie Huang;el-Hadi M. Aggoune

{"title":"A Novel Projection-Based Beam Ray Launching Method for Wireless Channel Modeling","authors":"Yuyang Zhou;Cheng-Xiang Wang;Songjiang Yang;Yinghua Wang;Jie Huang;el-Hadi M. Aggoune","doi":"10.1109/TAP.2025.3532083","DOIUrl":"https://doi.org/10.1109/TAP.2025.3532083","url":null,"abstract":"In this article, a 3-D projection-based beam ray launching (PB-RL) method is proposed for improving the efficiency of ray-tracing (RT) channel modeling. PB-RL utilizes the projection concept to define two types of ray beams for accelerating intersection tests and reception tests. With the help of projection, intersection tests between beams and walls are simplified to judgments between projected polygons, where an improved Gilber–Johnson–Keerthi (GJK) algorithm is applied to obtain accurate judgment results with reduced complexity. Based on the shapes of propagated beams, reception tests are accelerated by minimal box pre-judgments, which is especially effective for a vast array of receiver (Rx) points. Propagation of rays is completed by the transformation of ray beams, with a detailed illuminated area computed by clipping, generating sub-beams precisely for each covered object. Simulation results show that the total computational time is reduced significantly as compared with traditional RL methods. Channel characteristics computed by PB-RL are more accurate than those obtained by traditional methods, which are verified by measurement data.","PeriodicalId":13102,"journal":{"name":"IEEE Transactions on Antennas and Propagation","volume":"73 4","pages":"2572-2584"},"PeriodicalIF":4.6,"publicationDate":"2025-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143800968","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Deep Image Prior-Based Super Resolution for Fast Electromagnetic Forward Modeling 基于深度图像先验的超分辨率快速电磁正演建模

IF 4.6 1区计算机科学

IEEE Transactions on Antennas and Propagation Pub Date : 2025-01-28 DOI: 10.1109/TAP.2025.3532082

Min Jiang;Qingtao Sun;Qing Huo Liu;Xiaochun Li

{"title":"Deep Image Prior-Based Super Resolution for Fast Electromagnetic Forward Modeling","authors":"Min Jiang;Qingtao Sun;Qing Huo Liu;Xiaochun Li","doi":"10.1109/TAP.2025.3532082","DOIUrl":"https://doi.org/10.1109/TAP.2025.3532082","url":null,"abstract":"Training data and generalization capability are two of the major obstacles hindering the widespread application of deep learning in computational electromagnetics. To alleviate these challenges, this communication proposes a deep image prior (DIP)-based modeling framework to facilitate fast-forward modeling of large-scale problems. This framework leverages an unsupervised learning network with super-resolution capability, requiring only the low-resolution field distribution portrait in the model as input. The low-resolution field is initially generated using the conventional finite-difference frequency-domain (FDFD) method with a coarse mesh. Through iterative updates, the network produces a refined field distribution that achieves an accuracy comparable to that obtained with a mesh twice as dense as the original one. In addition, an automated termination criterion is introduced for DIP iteration. Extensive numerical experiments validate the super-resolution capability of our method in handling 2-D scattering problems with diverse shapes and material properties. In addition, a large-scale model is deployed to demonstrate the generalization capability of the proposed modeling framework for realistic applications. Notably, the proposed method exhibits superior computational efficiency compared to conventional FDFD for large-scale modeling, as it only requires forward modeling on a coarse mesh. By eliminating the need for training data and demonstrating good generalization capability, this method shows significant potential in addressing the challenges posed by conventional modeling techniques, particularly in terms of the intensive computational overhead associated with large-scale problems.","PeriodicalId":13102,"journal":{"name":"IEEE Transactions on Antennas and Propagation","volume":"73 3","pages":"1900-1905"},"PeriodicalIF":4.6,"publicationDate":"2025-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143553475","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Convolutional Neural Network Based Method for Accurate Computation of Scattered Fields From Reconfigurable Intelligent Surfaces 基于卷积神经网络的可重构智能曲面散射场精确计算方法

IF 4.6 1区计算机科学

IEEE Transactions on Antennas and Propagation Pub Date : 2025-01-28 DOI: 10.1109/TAP.2025.3532123

Yuanzhi Liu;Costas D. Sarris

{"title":"A Convolutional Neural Network Based Method for Accurate Computation of Scattered Fields From Reconfigurable Intelligent Surfaces","authors":"Yuanzhi Liu;Costas D. Sarris","doi":"10.1109/TAP.2025.3532123","DOIUrl":"https://doi.org/10.1109/TAP.2025.3532123","url":null,"abstract":"The cell-to-cell coupling in a reconfigurable intelligent surface (RIS) is very different from a periodic structure, where coupling effects can be precisely evaluated via full-wave analysis with periodic boundary conditions (PBCs). We propose a novel method based on convolutional neural networks (CNNs), to predict the contribution of mutual coupling on the near-zone tangential electric field of every RIS unit cell that characterizes its scattering. Our CNN model incorporates an attention mechanism based on the squeeze-and-excitation (SE) block module, enhancing its capability to discern and quantify coupling effects, especially from neighboring cells surrounding the unit cell of interest. The predictions of the model enable the computation of RIS scattered fields, fully accounting for the aperiodic nature of an RIS. Comparisons to finite-element analysis confirm that our computed fields are accurate at any point and for any RIS configuration. Furthermore, our machine learning model generalizes well to different incident waves and RIS dimensions. Therefore, the proposed method is a valuable tool for various practical applications, such as synthesizing RIS scattered field patterns and evaluating the performance of RIS-enabled channels.","PeriodicalId":13102,"journal":{"name":"IEEE Transactions on Antennas and Propagation","volume":"73 4","pages":"2615-2627"},"PeriodicalIF":4.6,"publicationDate":"2025-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143800878","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Microwave Imaging of Small Scatterers: Linking and Comparing the Beam-Forming and the Orthogonality Sampling Method 小散射体的微波成像：波束形成与正交采样方法的联系与比较

IF 4.6 1区计算机科学

IEEE Transactions on Antennas and Propagation Pub Date : 2025-01-27 DOI: 10.1109/TAP.2025.3531661

Antonio Cuccaro;Angela Dell’Aversano;Maria Antonia Maisto;Giovanni Leone;Raffaele Solimene

{"title":"Microwave Imaging of Small Scatterers: Linking and Comparing the Beam-Forming and the Orthogonality Sampling Method","authors":"Antonio Cuccaro;Angela Dell’Aversano;Maria Antonia Maisto;Giovanni Leone;Raffaele Solimene","doi":"10.1109/TAP.2025.3531661","DOIUrl":"https://doi.org/10.1109/TAP.2025.3531661","url":null,"abstract":"Advancements in sensor array technology and radar imaging applications continue to trigger the research toward the development of new imaging algorithms. The orthogonality sampling method (OSM) is one of the most recently proposed imaging methods in the literature. In this article, we are concerned with studying how the OSM is linked to and compared with classical beam-forming (BF) methods. In particular, herein, we consider two versions of the BF algorithm: the windowed and the nonwindowed schemes. This goal is pursued in the framework of small scatterer imaging, by considering a multiview/multistatic/multifrequency configuration. We succeed in analytically estimating the point-spread functions (PSFs) of the methods under comparison and this allows us to establish a clear connection between the different methods in terms of the achievable resolution and, at the same time, to highlight the link between the configuration parameters and the performance. The role of noise, the cross-terms, the multiple scattering, and the uncertain antenna frequency response are also addressed by a combination of analytical and numerical arguments. It is shown that the nonwindowed BF scheme exhibits the best tradeoff between achievable performance and robustness against noise and antenna uncertainties.","PeriodicalId":13102,"journal":{"name":"IEEE Transactions on Antennas and Propagation","volume":"73 5","pages":"3177-3190"},"PeriodicalIF":4.6,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143925115","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Design Considerations and Propagation Properties Using an SDN-Controlled RIS for Wireless Backhauling 使用 SDN 控制的 RIS 进行无线回程的设计考虑因素和传播特性

IF 4.6 1区计算机科学

IEEE Transactions on Antennas and Propagation Pub Date : 2025-01-27 DOI: 10.1109/TAP.2025.3531639

Mehmet Emin Arslan;Hossein Rezaei;George Yammine;Peter Heusinger;Yifei Wu;Wolfgang Gerstacker;Robert Schober;Norbert Franke;Niels Neumann

{"title":"Design Considerations and Propagation Properties Using an SDN-Controlled RIS for Wireless Backhauling","authors":"Mehmet Emin Arslan;Hossein Rezaei;George Yammine;Peter Heusinger;Yifei Wu;Wolfgang Gerstacker;Robert Schober;Norbert Franke;Niels Neumann","doi":"10.1109/TAP.2025.3531639","DOIUrl":"https://doi.org/10.1109/TAP.2025.3531639","url":null,"abstract":"With the rising need for robustness and safety in fifth-generation (5G)/sixth-generation (6G) backhaul communication between radio units (RUs), the significance of reconfigurable intelligent surfaces (RISs) becomes crucial. While several studies have addressed RIS application scenarios between RU and user equipment (UE), there is currently a lack of published research on implementing RIS in a wireless backhaul system, strategically managed by a software defined networking (SDN). This article investigates the factors that influence RIS realization and application, such as gain, far-field, losses, and communication metrics. Moreover, application and scaled-down demo scenarios are proposed: <inline-formula> <tex-math>$ {mathrm {2}} times , {mathrm {2~text {m}}}$ </tex-math></inline-formula> for real-life backhaul applications and <inline-formula> <tex-math>$ {mathrm {10}} times , {mathrm {10~text {c}text {m} }}$ </tex-math></inline-formula> for the demo case operating at 28 GHz. The article also explores application scenarios, including enhancing physical layer security, improving system resilience, and temporarily increasing capacity by deploying RIS in a wireless backhaul system. In addition, the study explores the dynamic SDN aspects of controlling the entire wireless backhaul system, offering a comprehensive perspective on RIS integration. These findings underscore the importance of RIS in addressing key challenges in wireless communications.","PeriodicalId":13102,"journal":{"name":"IEEE Transactions on Antennas and Propagation","volume":"73 4","pages":"2451-2461"},"PeriodicalIF":4.6,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143801003","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0