• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

穿墙微波成像:正反向散射建模

Through-the-Wall Microwave Imaging: Forward and Inverse Scattering Modeling.

作者信息

Fedeli Alessandro, Pastorino Matteo, Ponti Cristina, Randazzo Andrea, Schettini Giuseppe

机构信息

Department of Electrical, Electronic, Telecommunications Engineering, and Naval Architecture, University of Genoa, 16145 Genoa, Italy.

Department of Engineering, "Roma Tre" University, via Vito Volterra 62, 00146 Rome, Italy.

出版信息

Sensors (Basel). 2020 May 18;20(10):2865. doi: 10.3390/s20102865.

DOI:10.3390/s20102865
PMID:32443585
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7287634/
Abstract

The imaging of dielectric targets hidden behind a wall is addressed in this paper. An analytical solver for a fast and accurate computation of the forward scattered field by the targets is proposed, which takes into account all the interactions of the electromagnetic field with the interfaces of the wall. Furthermore, an inversion procedure able to address the full underlying non-linear inverse scattering problem is introduced. This technique exploits a regularizing scheme in Lebesgue spaces in order to reconstruct an image of the hidden targets. Preliminary numerical results are provided in order to initially assess the capabilities of the developed solvers.

摘要

本文探讨了隐藏在墙壁后面的电介质目标的成像问题。提出了一种用于快速准确计算目标向前散射场的解析求解器,该求解器考虑了电磁场与墙壁界面的所有相互作用。此外,还引入了一种能够解决完全潜在的非线性逆散射问题的反演程序。该技术利用勒贝格空间中的正则化方案来重建隐藏目标的图像。提供了初步的数值结果,以便初步评估所开发求解器的能力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a9c/7287634/3de16e9438e1/sensors-20-02865-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a9c/7287634/505db15168a6/sensors-20-02865-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a9c/7287634/cceebd053674/sensors-20-02865-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a9c/7287634/593f3c0ddab4/sensors-20-02865-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a9c/7287634/66e5bb8de2e6/sensors-20-02865-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a9c/7287634/e858dd09fa6b/sensors-20-02865-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a9c/7287634/1c9357e6b272/sensors-20-02865-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a9c/7287634/3de16e9438e1/sensors-20-02865-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a9c/7287634/505db15168a6/sensors-20-02865-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a9c/7287634/cceebd053674/sensors-20-02865-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a9c/7287634/593f3c0ddab4/sensors-20-02865-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a9c/7287634/66e5bb8de2e6/sensors-20-02865-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a9c/7287634/e858dd09fa6b/sensors-20-02865-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a9c/7287634/1c9357e6b272/sensors-20-02865-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a9c/7287634/3de16e9438e1/sensors-20-02865-g007.jpg

相似文献

1
Through-the-Wall Microwave Imaging: Forward and Inverse Scattering Modeling.穿墙微波成像:正反向散射建模
Sensors (Basel). 2020 May 18;20(10):2865. doi: 10.3390/s20102865.
2
Microwave-Based Subsurface Characterization through a Combined Finite Element and Variable Exponent Spaces Technique.基于微波的地下特征描述通过一个联合有限元与变量指数空间技术。
Sensors (Basel). 2022 Dec 24;23(1):167. doi: 10.3390/s23010167.
3
Through-wall electromagnetic scattering by N conducting cylinders.N个导电圆柱体的穿墙电磁散射
J Opt Soc Am A Opt Image Sci Vis. 2013 Aug 1;30(8):1632-9. doi: 10.1364/JOSAA.30.001632.
4
Advanced Fast 3-D Electromagnetic Solver for Microwave Tomography Imaging.高级快速三维电磁场求解器在微波层析成像中的应用。
IEEE Trans Med Imaging. 2017 Oct;36(10):2160-2170. doi: 10.1109/TMI.2017.2712800. Epub 2017 Jun 7.
5
Microwave breast imaging: 3-D forward scattering simulation.微波乳腺成像:三维前向散射模拟
IEEE Trans Biomed Eng. 2003 Oct;50(10):1180-9. doi: 10.1109/TBME.2003.817634.
6
Finite Element Modeling of scattered electromagnetic waves for stroke analysis.用于中风分析的散射电磁波有限元建模。
Annu Int Conf IEEE Eng Med Biol Soc. 2013;2013:2404-7. doi: 10.1109/EMBC.2013.6610023.
7
Inverse scattering scheme based on the moment method in the spectral domain, Part I: Theory.
Ultrason Imaging. 1992 Jan;14(1):16-28. doi: 10.1177/016173469201400102.
8
Microwave Imaging of Anisotropic Objects by Artificial Intelligence Technology.基于人工智能技术的各向异性物体微波成像
Sensors (Basel). 2023 Oct 27;23(21):8781. doi: 10.3390/s23218781.
9
Ultrasonic inverse scattering of multidimensional objects buried in multilayered elastic background structures.埋置于多层弹性背景结构中的多维物体的超声逆散射
IEEE Trans Ultrason Ferroelectr Freq Control. 1992;39(1):11-8. doi: 10.1109/58.166805.
10
Antenna modeling and reconstruction accuracy of time domain-based image reconstruction in microwave tomography.微波层析成像中基于时域图像重建的天线建模与重建精度
Int J Biomed Imaging. 2013;2013:343180. doi: 10.1155/2013/343180. Epub 2013 Mar 28.

引用本文的文献

1
Evaluation of the Resolution in Inverse Scattering of Dielectric Cylinders for Medical Applications.用于医学应用的介质圆柱体逆散射分辨率评估
Sensors (Basel). 2023 Aug 18;23(16):7250. doi: 10.3390/s23167250.
2
Soliton solutions of fractional extended nonlinear Schrödinger equation arising in plasma physics and nonlinear optical fiber.等离子体物理和非线性光纤中分数阶扩展非线性薛定谔方程的孤子解。
Sci Rep. 2023 Jul 5;13(1):10877. doi: 10.1038/s41598-023-37757-y.
3
Microwave-Based Subsurface Characterization through a Combined Finite Element and Variable Exponent Spaces Technique.

本文引用的文献

1
Through-wall electromagnetic scattering by N conducting cylinders.N个导电圆柱体的穿墙电磁散射
J Opt Soc Am A Opt Image Sci Vis. 2013 Aug 1;30(8):1632-9. doi: 10.1364/JOSAA.30.001632.
基于微波的地下特征描述通过一个联合有限元与变量指数空间技术。
Sensors (Basel). 2022 Dec 24;23(1):167. doi: 10.3390/s23010167.
4
Microwave Staring Correlated Imaging Method Based on Steady Radiation Fields Sequence.基于稳态辐射场序列的微波凝视相关成像方法
Sensors (Basel). 2020 Nov 30;20(23):6859. doi: 10.3390/s20236859.