IEEE Transactions on Antennas and Propagation最新文献_第9页

The Inverse Scattering of Second-Order Nonlinear Media Based on Distorted Born Iterative Method 基于畸变Born迭代法的二阶非线性介质逆散射

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.2025.3547624

Shi Qiang Wu;Bo O. Zhu

{"title":"The Inverse Scattering of Second-Order Nonlinear Media Based on Distorted Born Iterative Method","authors":"Shi Qiang Wu;Bo O. Zhu","doi":"10.1109/TAP.2025.3547624","DOIUrl":"https://doi.org/10.1109/TAP.2025.3547624","url":null,"abstract":"Nonlinear media are the building blocks for nonlinear optical devices. The parameter retrieval of nonlinear media is an important problem for nonlinear optics. However, the maturity and accuracy of nonlinear media retrieval methods lag behind that of ordinary linear media retrieval methods because it is difficult to analytically solve the Maxwell equations containing nonlinear media. Various approximations and simplifications have to be made in order to derive the analytical formulas for nonlinear parameter retrievals. Since the material’s electromagnetic (EM) parameter retrieval problem belongs to the EM inverse scattering problem, the accuracy of nonlinear media parameter retrievals can be improved if EM inverse scattering techniques, which are full-wave numerical methods, can be employed. Conventionally, EM inverse scattering methods work for linear media. In this communication, we generalize the distorted Born iterative method (DBIM), which is a popular EM inverse scattering method for linear media, to the second-order nonlinear media case. The numerical tests show that the nonlinear parameter distribution of a 1-D problem can be determined with the generalized DBIM.","PeriodicalId":13102,"journal":{"name":"IEEE Transactions on Antennas and Propagation","volume":"73 6","pages":"4140-4145"},"PeriodicalIF":4.6,"publicationDate":"2025-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144219617","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 Physics-Driven AI Approach for Microwave Imaging of Breast Tumors 乳腺肿瘤微波成像的物理驱动AI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.2025.3547392

Francesco Zardi;Luca Tosi;Marco Salucci;Andrea Massa

引用次数: 0

VIE Solutions of 2.5-D Electromagnetic Scattering by Arbitrary Anisotropic Objects Embedded in Layered Uniaxial Media 嵌入层状单轴介质中任意各向异性物体的2.5维电磁散射VIE解

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.2025.3547922

Feng Han;Kemeng Tao;Sijia Ma;Jiawen Li

{"title":"VIE Solutions of 2.5-D Electromagnetic Scattering by Arbitrary Anisotropic Objects Embedded in Layered Uniaxial Media","authors":"Feng Han;Kemeng Tao;Sijia Ma;Jiawen Li","doi":"10.1109/TAP.2025.3547922","DOIUrl":"https://doi.org/10.1109/TAP.2025.3547922","url":null,"abstract":"In this article, the 3-D electromagnetic (EM) scattering by 2-D dielectric arbitrary anisotropic scatterers embedded in a layered uniaxial anisotropic medium is studied. This 2.5-D EM scattering problem is mathematically formulated by the volume integral equation (VIE) whose discretized weak forms are based on the 2.5-D roof-top basis functions and solved by the stabilized biconjugate gradient fast Fourier transform (BCGS-FFT). Meanwhile, the 2.5-D dyadic Green’s functions (DGFs) for the layered uniaxial media are given in detail and their evaluation is also discussed. In particular, a tricky variable replacement strategy is proposed to obtain analytical expressions for partial 2.5-D DGF components. Besides the validation of the 2.5-D DGFs by comparing them with the corresponding 3-D values, several numerical experiments are also carried out to validate the accuracy and efficiency of the BCGS-FFT solver for the 2.5-D EM scattering in the layered anisotropic circumstance by comparing the results with those obtained by a 3-D VIE solver. The major new contribution of this work is to extend the 2.5-D EM scattering computation to accommodate the uniaxial anisotropy of the layered background medium and the arbitrary anisotropic scatterers.","PeriodicalId":13102,"journal":{"name":"IEEE Transactions on Antennas and Propagation","volume":"73 7","pages":"4767-4779"},"PeriodicalIF":4.6,"publicationDate":"2025-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144597794","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

Electromagnetic Effects Analysis for Biological Tissues via Dispersive FCC-FDTD Method 基于色散FCC-FDTD的生物组织电磁效应分析

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.2025.3547938

Boyan Cui;Guangzhi Chen;Xinsong Wang;Shunchuan Yang;Zongfei Zhou

{"title":"Electromagnetic Effects Analysis for Biological Tissues via Dispersive FCC-FDTD Method","authors":"Boyan Cui;Guangzhi Chen;Xinsong Wang;Shunchuan Yang;Zongfei Zhou","doi":"10.1109/TAP.2025.3547938","DOIUrl":"https://doi.org/10.1109/TAP.2025.3547938","url":null,"abstract":"A dispersive face-centered cubic finite-difference time-domain (FCC-FDTD) method is proposed for analyzing electromagnetic effects in biological tissues in this article, where biological tissues are dispersive media described by the Debye model. To simplify the derivation and improve accuracy, the auxiliary differential equation (ADE) technique is incorporated into the FCC-FDTD method updating formulas, and the convolutional perfect matched layer (CPML) for the dispersive FCC-FDTD method is developed. Then, the stability of the dispersive FCC-FDTD method is investigated for solving the four-term Debye dispersive model. Three numerical examples, pulse propagation in Debye medium, pulse propagation in multimedia, and the electromagnetic energy absorption of the four-layer spherical head phantom, are used to validate the performance of the dispersive FCC-FDTD method. Considering the dispersive properties of biological tissues, the proposed method is used to analyze the electromagnetic effects of the human brain under broadband radiation. The results show that there are differences in the absorption of electromagnetic energy for different biological tissues, and the electromagnetic effects of the human brain are influenced by age and gender. As a result, the proposed method can more accurately evaluate the effects that electromagnetic radiation causes on organisms and serve as a reference for their electromagnetic safety to make further targeted protection research.","PeriodicalId":13102,"journal":{"name":"IEEE Transactions on Antennas and Propagation","volume":"73 7","pages":"4646-4660"},"PeriodicalIF":4.6,"publicationDate":"2025-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144597662","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

Electromagnetic Scattering by a Rotationally Symmetric Gyrotropic-Coated Impedance Sphere 旋转对称陀螺热带包覆阻抗球的电磁散射

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.2025.3547723

Tazeen Shaikh;Bratin Ghosh;Kamal Sarabandi

引用次数: 0

Unsupervised 3D SAR Imaging Network Based on Generative Adversary Learning 基于生成对手学习的无监督三维SAR成像网络

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.2025.3547742

Mou Wang;Yifei Hu;Shunjun Wei;Jiahui Li;Rong Shen;Jun Shi;Guolong Cui;Lingjiang Kong;Yongxin Guo

{"title":"Unsupervised 3D SAR Imaging Network Based on Generative Adversary Learning","authors":"Mou Wang;Yifei Hu;Shunjun Wei;Jiahui Li;Rong Shen;Jun Shi;Guolong Cui;Lingjiang Kong;Yongxin Guo","doi":"10.1109/TAP.2025.3547742","DOIUrl":"https://doi.org/10.1109/TAP.2025.3547742","url":null,"abstract":"Reconstructing 3-D synthetic aperture radar (3D SAR) images from the sparsely sampled echo measurements holds significant importance in simplifying the system complexity and sensing costs. The conventional compressed sensing (CS)-based imaging algorithms address the problem by suspecting the sparsity of the imaging space, showing good reconstruction performance but failing to tackle the imaging tasks in weakly sparse scenes. Besides, traditional iterative imaging algorithms also suffer from high computational complexity, cumbersome parameter tuning, and poor adaptability. To address these issues, a novel unsupervised 3D SAR image reconstruction network is proposed for estimating 3D SAR images from the corresponding incomplete echo measurements. The proposed scheme contains two stages. Wherein, the first stage aims to estimate the missing echo elements from the incomplete observations by designing a generative adversary network based on partial convolution-based generative adversarial network (PCGAN). The second phase focuses on reconstructing the target synthetic aperture radar (SAR) image from the estimated echoes by constructing an unsupervised adaptive fast iterative shrinkage-thresholding algorithm (FISTA)-inspired deep unfolding network (AdaFIST-Net). Finally, simulations and real-measured experiments are carried out. Experimental results show that the proposed imaging network outperforms the current state-of-the-art algorithms in reconstructing 3-D images from sparsely sampled echoes in various sampling conditions and SNR cases.","PeriodicalId":13102,"journal":{"name":"IEEE Transactions on Antennas and Propagation","volume":"73 7","pages":"4621-4636"},"PeriodicalIF":4.6,"publicationDate":"2025-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144598020","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 Synthesis Technique for Compact High-Order Bandpass Frequency-Selective Surfaces via Alternately Stacked Patch Resonators and Coupled Apertures 一种紧凑高阶带通选频表面的叠合技术

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.2025.3547617

Jiaxin Kuang;Lei Zhu;Wanping Zhang

{"title":"A Synthesis Technique for Compact High-Order Bandpass Frequency-Selective Surfaces via Alternately Stacked Patch Resonators and Coupled Apertures","authors":"Jiaxin Kuang;Lei Zhu;Wanping Zhang","doi":"10.1109/TAP.2025.3547617","DOIUrl":"https://doi.org/10.1109/TAP.2025.3547617","url":null,"abstract":"An accurate synthesis technique based on planar multilayer manipulation for a class of compact high-order bandpass frequency-selective surfaces (FSSs) is proposed in this communication. The proposed FSS consists of alternately stacked shielded patch resonators and coupled narrow apertures. Here, each coupled narrow aperture is modeled as an equivalent K-inverter, and each shielded patch resonator is considered as an equivalent series stripline resonator. In analysis, the numerical short-open-load (SOL) calibration technique is employed to de-embed the shielded patch resonator, enabling accurate acquisition of a complete equivalent circuit model (ECM) and extraction of all equivalent electrical parameters. Additionally, by quantitatively mapping the ECM of the proposed FSS to an nth-order bandpass filter network, a relevant synthesis technique is proposed. To validate the proposed method, a third-order bandpass FSS is synthesized, and the simulated results align well with the theoretical predictions. Finally, the circuit is modified into a dual-polarized FSS, fabricated, and tested, with measured results closely matching the simulated results. Compared to the prior synthesis techniques for multilayer FSS and 3-D FSS, the proposed synthesis technique demonstrates a high level of consistency between simulated results and theoretical predictions, in addition to size compactness.","PeriodicalId":13102,"journal":{"name":"IEEE Transactions on Antennas and Propagation","volume":"73 7","pages":"4987-4992"},"PeriodicalIF":4.6,"publicationDate":"2025-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144604104","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

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 : 2025-03-07 DOI: 10.1109/TAP.2025.3564201

引用次数: 0

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 : 2025-03-07 DOI: 10.1109/TAP.2025.3564199

引用次数: 0