Imaging of cylindrical inhomogeneites in a parallel plate waveguide with reverse time migration method

IF 0.8 4区 工程技术 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Frequenz Pub Date : 2024-02-19 DOI:10.1515/freq-2023-0283
Tanju Yelkenci
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Abstract

While reverse time migration (RTM) algorithm is commonly used in geophysical explorations, this paper addresses the RTM imaging procedure for reconstructing of lossy dielectric discontinuities in a planar waveguide using electromagnetic waves at a single frequency. The direct problem of the related configuration is solved via method of moments (MoM) to produce the synthetic scattered data to be used in RTM. The achievements of the method are examined and verified by including different numerical examples. It is shown that the RTM approach can be used as an alternative imaging methodology in parallel plate waveguide problems.
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利用反向时间迁移法对平行板波导中的圆柱形非均质物成像
反向时间迁移(RTM)算法通常用于地球物理勘探,而本文探讨的是利用单频电磁波重建平面波导中有损介质不连续面的 RTM 成像程序。通过矩量法 (MoM) 解决了相关配置的直接问题,生成了 RTM 中使用的合成散射数据。通过不同的数值示例检验和验证了该方法的成果。结果表明,RTM 方法可用作平行板波导问题的替代成像方法。
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来源期刊
Frequenz
Frequenz 工程技术-工程:电子与电气
CiteScore
2.40
自引率
18.20%
发文量
81
审稿时长
3 months
期刊介绍: Frequenz is one of the leading scientific and technological journals covering all aspects of RF-, Microwave-, and THz-Engineering. It is a peer-reviewed, bi-monthly published journal. Frequenz was first published in 1947 with a circulation of 7000 copies, focusing on telecommunications. Today, the major objective of Frequenz is to highlight current research activities and development efforts in RF-, Microwave-, and THz-Engineering throughout a wide frequency spectrum ranging from radio via microwave up to THz frequencies. RF-, Microwave-, and THz-Engineering is a very active area of Research & Development as well as of Applications in a wide variety of fields. It has been the key to enabling technologies responsible for phenomenal growth of satellite broadcasting, wireless communications, satellite and terrestrial mobile communications and navigation, high-speed THz communication systems. It will open up new technologies in communications, radar, remote sensing and imaging, in identification and localization as well as in sensors, e.g. for wireless industrial process and environmental monitoring as well as for biomedical sensing.
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