Fast Fourier Transform preprocessing for accelerated plane wave based spherical near-field far-field transformation

C. Schmidt, T. Laitinen, T. Eibert
{"title":"Fast Fourier Transform preprocessing for accelerated plane wave based spherical near-field far-field transformation","authors":"C. Schmidt, T. Laitinen, T. Eibert","doi":"10.1109/URSI-EMTS.2010.5637234","DOIUrl":null,"url":null,"abstract":"Near-field measurement and transformation techniques are widely applied to characterize the radiation pattern of antennas. Spherical near-field measurements have been researched widely and various techniques with different probe compensation capabilities and complexities exist. Among those techniques applicable for (almost) arbitrary probes and based on spherical wave translations, the crucial computational relaxations have been gained through the use of a Fourier Transform based preprocessing of the measurement data. It is shown in this paper that the same Fourier Transform based preprocessing step can be applied in conjunction with the plane wave based probe-corrected near-field far-field transformations. The collection of probe signals is split into smaller sub sets by an Inverse Fast Fourier Transform. These sub problems can be solved with a reduced overall complexity and also a full probe correction is achieved.","PeriodicalId":404116,"journal":{"name":"2010 URSI International Symposium on Electromagnetic Theory","volume":"123 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 URSI International Symposium on Electromagnetic Theory","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/URSI-EMTS.2010.5637234","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

Abstract

Near-field measurement and transformation techniques are widely applied to characterize the radiation pattern of antennas. Spherical near-field measurements have been researched widely and various techniques with different probe compensation capabilities and complexities exist. Among those techniques applicable for (almost) arbitrary probes and based on spherical wave translations, the crucial computational relaxations have been gained through the use of a Fourier Transform based preprocessing of the measurement data. It is shown in this paper that the same Fourier Transform based preprocessing step can be applied in conjunction with the plane wave based probe-corrected near-field far-field transformations. The collection of probe signals is split into smaller sub sets by an Inverse Fast Fourier Transform. These sub problems can be solved with a reduced overall complexity and also a full probe correction is achieved.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于加速平面波球面近场远场变换的快速傅里叶变换预处理
近场测量和变换技术被广泛应用于天线辐射方向图的表征。球面近场测量得到了广泛的研究,存在着各种探针补偿能力和复杂程度不同的技术。在这些适用于(几乎)任意探头并基于球面波平移的技术中,通过使用基于傅里叶变换的测量数据预处理获得了关键的计算松弛。本文表明,同样的基于傅立叶变换的预处理步骤可以与基于平面波的探头校正近场远场变换相结合。探测信号的集合通过快速傅里叶反变换被分割成更小的子集。这些子问题可以通过降低总体复杂性来解决,并且可以实现完全的探针校正。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Wavelet analysis for an electromagnetic field The effect of gap size on dipole impedance using the induced EMF method Continuous one-sided beam scanning through broadside from backfire to forward fire by efficient surface-wave excitation RUFD: A general-purpose, non-iterative and matrix-free CEM algorithm for solving electromagnetic scattering and radiation problems in the frequency domain A crustal movement observation system using quasi-zenith satellites
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1