Enhanced Gain Extrapolation Technique: A Third-Order Scattering Approach For High-Accuracy Antenna Gain, Sparse Sampling, At Fresnel Distances [0.03%]
增强的增益外推技术：一种用于高精度天线增益、稀疏采样和弗雷斯纳距离的三阶散射方法
Joshua A Gordon,Benjamin L Moser
Joshua A Gordon
In this paper we describe an enhanced three-antenna gain extrapolation technique that allows one to determine antenna gain with significantly fewer data points and at closer distances than with the well-established traditional three-antenna...
A Free-Space Measurement Method for the Low-Loss Dielectric Characterization Without Prior Need for Sample Thickness Data [0.03%]
无需样品厚度的自由空间低损耗介电常数测量方法
Sung Kim,David Novotny,Joshua A Gordon et al.
Sung Kim et al.
A free-space measurement method is presented for the characterization of low-loss dielectric materials at millimeter-wave frequencies that does not require any assumption of a priori knowledge of the sample thickness. The method first emplo...
Novel Numerical Basis Sets for Electromagnetic Field Expansion in Arbitrary Inhomogeneous Objects [0.03%]
用于任意非均匀对象中电磁场展新的新型数值基函数
Ioannis P Georgakis,Jorge F Villena,Athanasios G Polimeridis et al.
Ioannis P Georgakis et al.
We investigated how to construct low-order subspace basis sets to accurately represent electromagnetic fields generated within inhomogeneous arbitrary objects by radio-frequency sources external to a Huygen's surface. The basis generation r...
Wenyi Shao,Beibei Zhou
Wenyi Shao
In order to conduct the research of machine-learning (ML) based microwave breast imaging (MBI), a large number of digital dielectric breast phantoms that can be used as training data (ground truth) are required but are difficult to be achie...
Millimeter-wave Channel-Sounder Performance Verification using Vector Network Analyzer in a Controlled RF Channel [0.03%]
使用矢量网络分析器在受控射频信道中验证毫米波信道探测性能
Jeanne T Quimby,Dylan F Williams,Kate A Remley et al.
Jeanne T Quimby et al.
A new comparison-to-reference performance verification technique compares an E-band channel-sounder and reference vector network analyzer measurements of the same controlled, static channel. This new technique reduces the number of inaccura...
High-Contrast Low-Loss Antenna: A Novel Antenna for Efficient Into-Body Radiation [0.03%]
高对比度低损耗天线：一种用于高效体内辐射的新型天线
Allyanna Rice,Asimina Kiourti
Allyanna Rice
We present a biocompatible high-contrast low-loss antenna (HCLA) designed for efficient into-body radiation for applications as diverse as medical telemetry, sensing, and imaging. The HCLA is wearable with a compact size of 2.62 cm3 and ope...
A Butterfly-Accelerated Volume Integral Equation Solver for Broad Permittivity and Large-Scale Electromagnetic Analysis [0.03%]
一种宽带介电常数和大规模电磁分析的蝶形加速体积积分方程求解器
Sadeed B Sayed,Yang Liu,Luis J Gomez et al.
Sadeed B Sayed et al.
A butterfly-accelerated volume integral equation (VIE) solver is proposed for fast and accurate electromagnetic (EM) analysis of scattering from heterogeneous objects. The proposed solver leverages the hierarchical off-diagonal butterfly (H...
Compression of volume-surface integral equation matrices via Tucker decomposition for magnetic resonance applications [0.03%]
基于 Tucker 分解的体积-表面积分方程矩阵压缩在磁共振中的应用
Ilias I Giannakopoulos,Georgy D Guryev,José E C Serrallés et al.
Ilias I Giannakopoulos et al.
In this work, we propose a method for the compression of the coupling matrix in volume-surface integral equation (VSIE) formulations. VSIE methods are used for electromagnetic analysis in magnetic resonance imaging (MRI) applications, for w...
Uncertainty in Reverberation-Chamber Antenna-Efficiency Measurements in the Presence of a Phantom [0.03%]
含假体情况下电波暗室天线效率测试的不确定性研究
L A Bronckers,K A Remley,B Jamroz et al.
L A Bronckers et al.
The effect of a user's proximity on wireless device performance is critical to test the device under realistic conditions. In this work, we propose and demonstrate an improved uncertainty estimation method for antenna efficiency measurement...
Microwave Imaging by Deep Learning Network: Feasibility and Training Method [0.03%]
基于深度学习网络的微波成像方法及训练算法研究
Wenyi Shao,Yong Du
Wenyi Shao
Microwave image reconstruction based on a deep-learning method is investigated in this paper. The neural network is capable of converting measured microwave signals acquired from a 24×24 antenna array at 4 GHz into a 128×128 image. To red...