2019 IEEE International Conference on Computational Electromagnetics (ICCEM)最新文献_第4页

A Broadband and Miniaturized Blade Monopole Antenna 宽带小型化叶片单极天线

2019 IEEE International Conference on Computational Electromagnetics (ICCEM) Pub Date : 2019-03-20 DOI: 10.1109/COMPEM.2019.8778968

Rui Yang, Shaobin Liu, X. Kong

引用次数: 2

LSTM based Human Activity Classification on Radar Range Profile 基于LSTM的雷达距离廓线人类活动分类

2019 IEEE International Conference on Computational Electromagnetics (ICCEM) Pub Date : 2019-03-20 DOI: 10.1109/COMPEM.2019.8779144

Xinyu Li, Yuan He, Yang Yang, Yuanquan Hong, Xiaojun Jing

引用次数: 14

Generating SAR Images Based on Neural Network 基于神经网络的SAR图像生成

2019 IEEE International Conference on Computational Electromagnetics (ICCEM) Pub Date : 2019-03-20 DOI: 10.1109/COMPEM.2019.8779039

Y. Chang, W. Yu, Che Liu, Hui Chen, Lei Cao, T. Cui

引用次数: 2

Design of Low RCS Circularly Polarized Patch Antenna Array for BeiDou Navigation Satellite System Applications 北斗卫星导航系统低RCS圆极化贴片天线阵列设计

2019 IEEE International Conference on Computational Electromagnetics (ICCEM) Pub Date : 2019-03-20 DOI: 10.1109/COMPEM.2019.8779159

T. Khan, Xiong Sheng, Jianxing Li, Juan Chen, A. Zhang

引用次数: 1

Deep Learning of Reflection Phase Predection for Arbitrary Coding Metasurface Atoms 任意编码超表面原子反射相位预判的深度学习

2019 IEEE International Conference on Computational Electromagnetics (ICCEM) Pub Date : 2019-03-20 DOI: 10.1109/COMPEM.2019.8778904

Che Liu, Qian Zhang, T. Cui

{"title":"Deep Learning of Reflection Phase Predection for Arbitrary Coding Metasurface Atoms","authors":"Che Liu, Qian Zhang, T. Cui","doi":"10.1109/COMPEM.2019.8778904","DOIUrl":"https://doi.org/10.1109/COMPEM.2019.8778904","url":null,"abstract":"Digital coding representations of meta-atoms make it possible to integrate with deep learning algorithms to realize intelligent designs of metasurfaces. In the microscope level, each meta-atom consists of 16×16 square sub-blocks covered with and without metal, denoted by microscope coding ‘1’ and ‘0’, respectively. The reflection phase of meta-atom is governed by the microscope coding pattern. Considering two-fold symmetry, there are 264 different coding patterns, corresponding to different phase responses. In this paper, we propose a deep learning method to predict the reflection phase of meta-atoms with arbitrary patterns, at 10GHz, in which only 70000 training coding patterns are used to train the network. We employ the other 10000 randomly-chosen coding patterns to validate the neural network, showing an accuracy of 90.05% of phase responses with 2° error in 360° phase and the average forecast error is 1.4933°. Using the learned network, we can readily find the correct coding pattern among 18 billion of billions of choices for required phase in a second, finishing fast automatic design of arbitrarily anisotropic meta-atoms. If the traditional method is used, the design of arbitrarily anisotropic meta-atoms would be very complicated and time consuming, in which experts must find special geometries based on large amounts numerical simulations to fulfill the tasks.","PeriodicalId":342849,"journal":{"name":"2019 IEEE International Conference on Computational Electromagnetics (ICCEM)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124789233","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Gain-Enhanced Broadband Circularly Polarized Crossed Dipole Antenna 增益增强宽带圆极化交叉偶极子天线

2019 IEEE International Conference on Computational Electromagnetics (ICCEM) Pub Date : 2019-03-20 DOI: 10.1109/COMPEM.2019.8779163

Wenfei Yin, Hongzhi Zhao, Zhaoneng Jiang

引用次数: 3

Patch Antenna Radiation Pattern Evaluation Based on Phaseless and Single-Plane Near-Field Scanning 基于无相单平面近场扫描的贴片天线辐射方向图评估

2019 IEEE International Conference on Computational Electromagnetics (ICCEM) Pub Date : 2019-03-20 DOI: 10.1109/COMPEM.2019.8778952

Y. Shu, Xingchang Wei, Yanbin Yang

{"title":"Patch Antenna Radiation Pattern Evaluation Based on Phaseless and Single-Plane Near-Field Scanning","authors":"Y. Shu, Xingchang Wei, Yanbin Yang","doi":"10.1109/COMPEM.2019.8778952","DOIUrl":"https://doi.org/10.1109/COMPEM.2019.8778952","url":null,"abstract":"Conventional near-field to far-field transformation based on phaseless planar near-field scanning usually requires field magnitude data over two parallel planes in front of the antenna under test (AUT). In this paper, an equivalent dipole array model is established for radiation pattern evaluation based on the phaseless and single-plane near-field scanning. The field magnitude is obtained by near-field scanner. Using an interpolation method, we can obtain a group of interpolated field magnitude under the assumption that field magnitude does not vary dramatically between two adjacent sampling points. Subsequently, an iterative algorithm together with singular value decomposition (SVD) method is performed between measured data and interpolated data for reconstructing the equivalent dipole array. Then, radiation pattern can be calculated by the equivalent sources. A measurement example is given to verify the effectiveness of the proposed method. Reducing a half of sampling points is the major advantage of this method, and it still can establish a valid equivalent source. This method can be regarded as a good compromise between efficiency and accuracy.","PeriodicalId":342849,"journal":{"name":"2019 IEEE International Conference on Computational Electromagnetics (ICCEM)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131583953","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Graphene film based Inverted-F Antenna for 5G Mobile Communications 5G移动通信中基于石墨烯薄膜的倒f天线

2019 IEEE International Conference on Computational Electromagnetics (ICCEM) Pub Date : 2019-03-20 DOI: 10.1109/COMPEM.2019.8778843

Ping Lu, R. Song, Ran Fang, Daping He

引用次数: 0

Combined Layer GAN for Image Style Transfer* 结合图层GAN图像样式传输*

2019 IEEE International Conference on Computational Electromagnetics (ICCEM) Pub Date : 2019-03-20 DOI: 10.1109/COMPEM.2019.8778838

Zhiyao Zhou, Yezhou Yang, Zhuohao Cai, Yusi Yang, Lan Lin

引用次数: 5

Dielectric Resonator Antennas by Low Cost 3D Printing: Characterisitic Mode Approach 低成本3D打印介质谐振器天线:特征模式方法

2019 IEEE International Conference on Computational Electromagnetics (ICCEM) Pub Date : 2019-03-20 DOI: 10.1109/COMPEM.2019.8779150

Qi Wu

引用次数: 0