IEEE Transactions on Antennas and Propagation最新文献

Microwave, mm and THz Imaging and Sensing Systems and Technologies for Medical Applications 微波，毫米和太赫兹成像和传感系统和技术的医疗应用

IF 4.6 1区计算机科学

IEEE Transactions on Antennas and Propagation Pub Date : 2025-04-08 DOI: 10.1109/TAP.2025.3547194

引用次数: 0

Numerical and Analytical Methods for Complex Electromagnetic Media 复杂电磁介质的数值与解析方法

IF 4.6 1区计算机科学

IEEE Transactions on Antennas and Propagation Pub Date : 2025-04-08 DOI: 10.1109/TAP.2025.3547192

引用次数: 0

Institutional Listings 机构清单

IF 4.6 1区计算机科学

IEEE Transactions on Antennas and Propagation Pub Date : 2025-04-08 DOI: 10.1109/TAP.2025.3547188

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IEEE Transactions on Antennas and Propagation Publication Information IEEE天线与传播学报出版信息

IF 4.6 1区计算机科学

IEEE Transactions on Antennas and Propagation Pub Date : 2025-04-08 DOI: 10.1109/TAP.2025.3547196

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Guest Editorial Measurement Technologies for Emerging 5G and Beyond Channel Characterization and Antenna Systems 新兴5G及超信道特性和天线系统的测量技术

IF 4.6 1区计算机科学

IEEE Transactions on Antennas and Propagation Pub Date : 2025-04-08 DOI: 10.1109/TAP.2025.3548732

Wei Fan;Tian Hong Loh;Lars Foged;Benoit Derat;Yi Huang;Pekka Kyösti

引用次数: 0

IEEE Transactions on Antennas and Propagation Information for Authors IEEE天线与传播信息学报

IF 4.6 1区计算机科学

IEEE Transactions on Antennas and Propagation Pub Date : 2025-04-08 DOI: 10.1109/TAP.2025.3547190

引用次数: 0

A Low-Profile Implantable Antenna for Heart Implants 一种用于心脏植入的低轮廓植入式天线

IF 4.6 1区计算机科学

IEEE Transactions on Antennas and Propagation Pub Date : 2025-04-04 DOI: 10.1109/TAP.2025.3555863

Abdulwahab Alghamdi;Abdul Basir;Amjad Iqbal;Roy B. V. B. Simorangkir;Ismail Ben Mabrouk

{"title":"A Low-Profile Implantable Antenna for Heart Implants","authors":"Abdulwahab Alghamdi;Abdul Basir;Amjad Iqbal;Roy B. V. B. Simorangkir;Ismail Ben Mabrouk","doi":"10.1109/TAP.2025.3555863","DOIUrl":"https://doi.org/10.1109/TAP.2025.3555863","url":null,"abstract":"The complex nature of the human body and the interaction between implantable antennas and electronic components can result in detuning issues. A wide bandwidth is critical for mitigating these issues and improving channel capacity. This communication presents a compact implantable antenna that provides ultrawide bandwidth for leadless cardiac pacemakers (LCPs). The proposed antenna has an ultracompact size of 8.33 mm<sup>3</sup>, with a 10-dB bandwidth of 4.33 GHz (fractional bandwidth of 152.7%), spanning from 0.67 to 5 GHz. It covers the Industrial, Scientific, and Medical (ISM) bands (0.915 and 2.45 GHz), the Wireless Medical Telemetry Service (WMTS) band (1.4 GHz), and the midfield band (1.6 GHz). The simulation results demonstrate gains of −31.3 dBi at 0.915 GHz, −25.8 dBi at 1.4 GHz, and −21.9 dBi at 2.45 GHz. This antenna exhibits peak specific absorption rate (SAR) values of 320.4 W/kg at 0.915 GHz, 332.8 W/kg at 1.4 GHz, and 464.1 W/kg at 2.45 GHz. To ensure the reliability of the wireless communication link, the link budget is analyzed to estimate the range between the transmitter and receiver at data rates of 10 and 25 Mb/s. To validate the results, the manufactured antenna is tested with minced pork, demonstrating a satisfactory agreement between the measured and simulated outcomes.","PeriodicalId":13102,"journal":{"name":"IEEE Transactions on Antennas and Propagation","volume":"73 5","pages":"3310-3315"},"PeriodicalIF":4.6,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143918750","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

TE–TM Balanced Wide-Angle Metacells for Low Scan-Loss Metalens Antenna Using Prior Knowledge-Guided Generative Deep Learning-Enabled Method 基于先验知识引导生成深度学习的TE-TM低扫描损耗超透镜天线平衡广角元胞

IF 4.6 1区计算机科学

IEEE Transactions on Antennas and Propagation Pub Date : 2025-03-27 DOI: 10.1109/TAP.2025.3552837

Yanhe Lyu;Theng Huat Gan;Zhi Ning Chen

{"title":"TE–TM Balanced Wide-Angle Metacells for Low Scan-Loss Metalens Antenna Using Prior Knowledge-Guided Generative Deep Learning-Enabled Method","authors":"Yanhe Lyu;Theng Huat Gan;Zhi Ning Chen","doi":"10.1109/TAP.2025.3552837","DOIUrl":"https://doi.org/10.1109/TAP.2025.3552837","url":null,"abstract":"The miniaturized cage-like metacell is proposed for TE–TM balanced wide-angle transmission using the prior knowledge (PK)-guided generative deep learning (DL) method, enabling a low scan-loss metalens antenna. An initial metacell topology and pattern generation rules are proposed, guided by physical constraints and engineering experience, and efficiently construct a high-degree-of-freedom (DoF) dataset for training a conditional deep convolutional generative adversarial network (cDCGAN). With a trained generator, diverse DL-enabled miniaturized cage-like metacells achieve a transmittance higher than 0.75 with fluctuations below 0.15 and a phase shift range of 295° with variations less than 15° at 10 GHz under TM and TE polarized incident waves from 0° to 45°. To verify the generative designs, a metalens antenna prototype consisting of the proposed metacells shows a realized gain of 26.2 dBi with an aperture efficiency of 36.3% and measured scan losses lower than 2.6 and 2.4 dB as TE- and TM-polarized beams scanning from −40° to 40° at 10 GHz.","PeriodicalId":13102,"journal":{"name":"IEEE Transactions on Antennas and Propagation","volume":"73 5","pages":"2940-2949"},"PeriodicalIF":4.6,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143929687","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 Simultaneous Time-Domain Measurement Method for Electric and Magnetic Fields Within the Test Chamber of Radiated Immunity 辐射抗扰度试验室内电磁场时域同步测量方法

IF 4.6 1区计算机科学

IEEE Transactions on Antennas and Propagation Pub Date : 2025-03-17 DOI: 10.1109/TAP.2025.3550375

Weiheng Shao;Caixu Yu;Yinghui Chen;Liuxing He;Lin Wen;Cui Meng

{"title":"A Simultaneous Time-Domain Measurement Method for Electric and Magnetic Fields Within the Test Chamber of Radiated Immunity","authors":"Weiheng Shao;Caixu Yu;Yinghui Chen;Liuxing He;Lin Wen;Cui Meng","doi":"10.1109/TAP.2025.3550375","DOIUrl":"https://doi.org/10.1109/TAP.2025.3550375","url":null,"abstract":"This article presents a novel time-domain method for simultaneously characterizing electric and magnetic fields of test chambers in integrated circuit radiation immunity tests. The proposed approach is based on a symmetric vertical crossed-loop antenna (SCLA) and involves both a frequency-domain calibration process and a time-domain reconstruction process. Unlike the traditional single electric or magnetic field antenna characterization methods in IEC 62132-8, this method can simultaneously induce all three fields required during the radiation immunity test, namely, <inline-formula> <tex-math>$H_{mathrm { x}}$ </tex-math></inline-formula>, <inline-formula> <tex-math>$H_{mathrm { y}}$ </tex-math></inline-formula>, and <inline-formula> <tex-math>$E_{mathrm { z}}$ </tex-math></inline-formula>. The frequency-domain calibration process decouples the original induced E-field and H-field signals from the aliased measurement port voltage signals. The time-domain reconstruction process rebuilds the time-domain waveforms of <inline-formula> <tex-math>$H_{mathrm { x}}$ </tex-math></inline-formula>, <inline-formula> <tex-math>$H_{mathrm { y}}$ </tex-math></inline-formula>, and <inline-formula> <tex-math>$E_{mathrm { z}}$ </tex-math></inline-formula> from the original induced E-field and H-field signals. The calibration effectiveness, accuracy, robustness, and frequency range of the proposed method are analyzed and discussed. Finally, three typical electromagnetic field waveforms, including a sinusoidal signal, a pulse-modulated sinusoidal signal, and a double-exponential strong pulse signal, are used to demonstrate the effectiveness of the proposed method.","PeriodicalId":13102,"journal":{"name":"IEEE Transactions on Antennas and Propagation","volume":"73 5","pages":"3068-3078"},"PeriodicalIF":4.6,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143925118","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 Novel Fast Far-Field Phased Array Calibration Method Utilizing Deep Residual Neural Networks 一种基于深度残差神经网络的快速远场相控阵标定方法

IF 4.6 1区计算机科学

IEEE Transactions on Antennas and Propagation Pub Date : 2025-03-10 DOI: 10.1109/TAP.2025.3547915

Haotian Chen;Xinhong Xie;Zixian Ma;Haohong Xu;Bing Lan;Nayu Li;Xiaokang Qi;Changyou Men;Chunyi Song;Zhiwei Xu

{"title":"A Novel Fast Far-Field Phased Array Calibration Method Utilizing Deep Residual Neural Networks","authors":"Haotian Chen;Xinhong Xie;Zixian Ma;Haohong Xu;Bing Lan;Nayu Li;Xiaokang Qi;Changyou Men;Chunyi Song;Zhiwei Xu","doi":"10.1109/TAP.2025.3547915","DOIUrl":"https://doi.org/10.1109/TAP.2025.3547915","url":null,"abstract":"The calibration for a large phased array requires a significant amount of measurements using existing calibration methods. To accelerate the calibration process, this article proposes a novel fast far-field phased array calibration method utilizing deep residual neural networks. In the proposed method, a new feature extraction scheme (FES) is developed and applied to reconstruct the measured complex array signals in far-field into image data, which are then fed into the residual neural networks to train the calibration model. Specifically, the proposed one can train the calibration model based on datasets entirely generated by simulation, and the trained model can be directly applied across various array intervals, frequency bands, and calibration directions, given the same number of array elements. Consequently, the proposed algorithm excels in calibration efficiency as compared to conventional methods. For the verification, the proposed method is applied to the C-band, X-band, K-band, and Ka-band phased arrays that are produced based on our in-house integrated circuits (ICs). Measurement results obtained in the anechoic chamber validate the accuracy and robustness of the proposed scheme.","PeriodicalId":13102,"journal":{"name":"IEEE Transactions on Antennas and Propagation","volume":"73 4","pages":"2217-2231"},"PeriodicalIF":4.6,"publicationDate":"2025-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143800961","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