IEEE Transactions on Electromagnetic Compatibility最新文献_第10页

A Non-Reciprocal, Ultrawideband Energy Selective Antenna Based on Conductivity Modulation Effect 基于传导性调制效应的非互易超宽带能量选择天线

IF 2 3区计算机科学

IEEE Transactions on Electromagnetic Compatibility Pub Date : 2024-10-08 DOI: 10.1109/TEMC.2024.3471686

Jiarui Fang;Qi Wu

{"title":"A Non-Reciprocal, Ultrawideband Energy Selective Antenna Based on Conductivity Modulation Effect","authors":"Jiarui Fang;Qi Wu","doi":"10.1109/TEMC.2024.3471686","DOIUrl":"10.1109/TEMC.2024.3471686","url":null,"abstract":"This article presents a realization of nonreciprocal energy selective antenna (NESA) using conductivity modulation effect. NESA can protect sensitive \u0000<italic>Rx</i>\u0000 frontend from high power microwave threats while permitting a normal transmission of wireless signals in the \u0000<italic>Tx</i>\u0000 channel. The proposed NESA consists of a transmission module, a rectifier circuit, and a ultrawideband antenna loaded with positive-intrinsic-negative (PIN) diodes. The transmission module discriminates the direction of guided wave and controls the rectifier circuit to select the modulation mode of PIN diodes. When NESA operates in the \u0000<italic>Rx</i>\u0000 state, PIN diodes are controlled by the dc conductance modulation, and it enters the defense mode at a lower threshold. Conversely, when operating in the \u0000<italic>Tx</i>\u0000 state, PIN diodes are controlled by radio frequency (RF) conductance modulation, NESA will not enter the defense mode and allow normal power transmission. To demonstrate this new concept, a design using a Vivaldi antenna is fabricated and measured. The theoretical, numerical, and experimental results agree well for the prototype antenna. The prototype operates in the frequency range of 2–6 GHz, allowing for the transmission of continuous wave signals up to 20 W, and providing ∼20 dB of defense level across the entire band. The prototype exhibits 25 dB of nonreciprocity and ∼ 1 dB of insertion loss in the normal mode. The added circuitry has a small size and requires no dc power supply, which is useful for protecting broadband front-ends and arrays.","PeriodicalId":55012,"journal":{"name":"IEEE Transactions on Electromagnetic Compatibility","volume":"66 6","pages":"1836-1847"},"PeriodicalIF":2.0,"publicationDate":"2024-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142385238","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

On the Validity of the AIMD Transfer Function Model Developed Over Different Implantation Trajectories 不同植入轨迹下建立的 AIMD 转移函数模型的有效性

IF 2 3区计算机科学

IEEE Transactions on Electromagnetic Compatibility Pub Date : 2024-10-03 DOI: 10.1109/TEMC.2024.3464125

Ziyu Zuo;Lijian Yang;Jianfeng Zheng;Qingyan Wang;Hongbae Jeong;Stuart A. Long;Ananda Kumar;Ji Chen

{"title":"On the Validity of the AIMD Transfer Function Model Developed Over Different Implantation Trajectories","authors":"Ziyu Zuo;Lijian Yang;Jianfeng Zheng;Qingyan Wang;Hongbae Jeong;Stuart A. Long;Ananda Kumar;Ji Chen","doi":"10.1109/TEMC.2024.3464125","DOIUrl":"10.1109/TEMC.2024.3464125","url":null,"abstract":"The transfer function (TF) method is crucial in assessing radio frequency induced heating in active implantable medical devices (AIMDs) during magnetic resonance imaging scans within the human body. Despite numerous implementations to develop TF models for AIMDs, a lingering question remains: TFs are typically developed in a straight pathway configuration, which may differ from TFs in the clinically relevant curved implantation pathways. This article explores the validity of TFs developed in a straight configuration for curved pathways. To address this, a robotic arm capable of three-dimensional measurements is introduced, facilitating the direct development of TFs along curved trajectories. Various curved pathways, including three clinically relevant trajectories, are selected for TF development. The results demonstrate the consistency of TFs obtained along curved and straight pathway configurations in all the cases. This indicates the applicability of TFs developed along a straight configuration for clinically relevant scenarios. Further insights into this trajectory-independent TF model are gained through numerical simulations. Additionally, the article discusses the conditions under which the straight TF remains valid for curved trajectories. For the commercially available AIMDs investigated in the article, the TFs remain consistent regardless of the trajectories, implying its invariance with respect to implantation trajectories.","PeriodicalId":55012,"journal":{"name":"IEEE Transactions on Electromagnetic Compatibility","volume":"66 6","pages":"1698-1705"},"PeriodicalIF":2.0,"publicationDate":"2024-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142374063","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Fault Injection Caused by Phase-Locked Loop Compromised With IEMI 利用 IEMI 破坏锁相环造成故障注入

IF 2.1 3区计算机科学

IEEE Transactions on Electromagnetic Compatibility Pub Date : 2024-10-03 DOI: 10.1109/temc.2024.3468337

Hikaru Nishiyama, Daisuke Fujimoto, Yuichi Hayashi

引用次数: 0

Uncertainty Quantification in PEEC Method: A Physics-Informed Neural Networks-Based Polynomial Chaos Expansion PEEC 方法中的不确定性量化：基于物理信息神经网络的多项式混沌扩展

IF 2 3区计算机科学

IEEE Transactions on Electromagnetic Compatibility Pub Date : 2024-10-01 DOI: 10.1109/TEMC.2024.3462940

Yuan Ping;Yanming Zhang;Lijun Jiang

{"title":"Uncertainty Quantification in PEEC Method: A Physics-Informed Neural Networks-Based Polynomial Chaos Expansion","authors":"Yuan Ping;Yanming Zhang;Lijun Jiang","doi":"10.1109/TEMC.2024.3462940","DOIUrl":"10.1109/TEMC.2024.3462940","url":null,"abstract":"In this article, we propose a novel machine learning approach for uncertainty quantification (UQ) within the partial equivalent element circuit (PEEC) framework, employing physics-informed neural networks (PINNs)-based polynomial chaos expansion (PCE) scheme. Initially, the PEEC method is formulated via the electrical field integral equations and current continuity equations. Subsequently, random parameters are introduced to construct corresponding stochastic equations, thereby facilitating the generation of input–output data pairs for the training process. Then, by utilizing the PCE methodology, a mapping function is established. Next, the PINN-based approach is adopted to compute the coefficients of the polynomial bases, leveraging the matrix constructed from training data. Finally, this proposed approach enables the determination of stochastic parameters for quantities of interest within the PEEC method. The numerical examples involving the transmission lines are provided to verify the efficiency of the proposed method. It is found that the uncertainty is well quantified in each case. Compared to the traditional MCM, the proposed method can make UQ in the PEEC method 20 times faster. Hence, our work offers a practical machine learning approach for quantifying uncertainty, which could also be extended to other computational electromagnetic methods.","PeriodicalId":55012,"journal":{"name":"IEEE Transactions on Electromagnetic Compatibility","volume":"66 6","pages":"2095-2101"},"PeriodicalIF":2.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142362775","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Uncertainty Analysis for EMC Simulation Based on Bayesian Optimization 基于贝叶斯优化的 EMC 仿真不确定性分析

IF 2.1 3区计算机科学

IEEE Transactions on Electromagnetic Compatibility Pub Date : 2024-09-30 DOI: 10.1109/temc.2024.3457787

Jinjun Bai, Bing Hu, Alistair Duffy

引用次数: 0

Transient Magnetic Shielding of a Planar Conductive Screen in the Presence of a Parallel Circular Loop Carrying Pulsed Current 载脉冲电流的平行圆形环路存在时平面导电屏的瞬态磁屏蔽

IF 2.1 3区计算机科学

IEEE Transactions on Electromagnetic Compatibility Pub Date : 2024-09-25 DOI: 10.1109/temc.2024.3459923

Sijia Liu, Tianxi Li, He Huang, Chongqing Jiao

引用次数: 0

Frequency Characteristics of Insertion Loss and Loop Gain of VSCC Feedback Active EMI Filters VSCC 有源 EMI 滤波器插入损耗和环路增益的频率特性

IF 2.1 3区计算机科学

IEEE Transactions on Electromagnetic Compatibility Pub Date : 2024-09-24 DOI: 10.1109/temc.2024.3454127

Qi Chen, Rongxuan Zhang, Zhenyi Niu, Chunying Gong

引用次数: 0

Optimization of Source Modeling From Phaseless Near-Field Scanning Based on SVD-Defined Eigenmodes 基于 SVD 定义特征模式的无相近场扫描源建模优化

IF 2 3区计算机科学

IEEE Transactions on Electromagnetic Compatibility Pub Date : 2024-09-24 DOI: 10.1109/TEMC.2024.3449375

Min-Hsu Tsai;Hong-Wen Qian;Wei-Kai Chen;Ming-Chung Huang;Jen-Chieh Liu;Ruey-Beei Wu

引用次数: 0

PPO Algorithm-Assisted Design of Absorptive Common-Mode Suppression Filters PPO 算法辅助设计吸收型共模抑制滤波器

IF 2 3区计算机科学

IEEE Transactions on Electromagnetic Compatibility Pub Date : 2024-09-20 DOI: 10.1109/TEMC.2024.3457629

Cheng-Pan Huang;Yi-Hao Ma;Qi Qiang Liu;Wen-Sheng Zhao;Bin You;Xiang Wang;Cheng-Hao Yu;Da-Wei Wang

引用次数: 0

Generation and Application of a Very Large Dataset for Signal Integrity Via Array and Link Analysis 通过阵列和链路分析生成和应用超大型信号完整性数据集

IF 2 3区计算机科学

IEEE Transactions on Electromagnetic Compatibility Pub Date : 2024-09-18 DOI: 10.1109/TEMC.2024.3450307

Til Hillebrecht;Morten Schierholz;Youcef Hassab;Johannes Alfert;Christian Schuster

{"title":"Generation and Application of a Very Large Dataset for Signal Integrity Via Array and Link Analysis","authors":"Til Hillebrecht;Morten Schierholz;Youcef Hassab;Johannes Alfert;Christian Schuster","doi":"10.1109/TEMC.2024.3450307","DOIUrl":"10.1109/TEMC.2024.3450307","url":null,"abstract":"In this article, a physics inspired and data-driven analysis is performed using a very large dataset of printed circuit board (PCB) based high-speed interconnects. Three different subsets are defined having approximately 15000 PCB material and geometry variations. To the authors' knowledge, this dataset is the largest ever generated and applied dataset for signal integrity (SI) purposes. The dataset is generated using accurate physics based (PB) modeling up to \u0000<inline-formula><tex-math>$60 ,mathrm{G}mathrm{Hz}$</tex-math></inline-formula>\u0000 and provided for download in the SI/PI-Database. The first two subsets consist of a single-ended and a differential via array with up to 116 ports with arbitrary positions for signal, power, and ground vias. The third subset represents a link over differential transmission lines between two via arrays. A data and machine learning (ML) analysis is performed showing the dependencies between the PCB parameters and clock frequency of PCI Gen 6. The large and realistic defined design spaces reflect the high complexity and dimensionality of the SI design problems and allow multipurpose ML-based analysis.","PeriodicalId":55012,"journal":{"name":"IEEE Transactions on Electromagnetic Compatibility","volume":"66 6","pages":"1967-1976"},"PeriodicalIF":2.0,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142245497","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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