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Physics-Based Near-Field Microwave Imaging Algorithms for Dense Layered Media

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서명/저자사항Physics-Based Near-Field Microwave Imaging Algorithms for Dense Layered Media.
개인저자Ren, Kai.
단체저자명The Ohio State University. Electrical and Computer Engineering.
발행사항[S.l.]: The Ohio State University., 2017.
발행사항Ann Arbor: ProQuest Dissertations & Theses, 2017.
형태사항189 p.
기본자료 저록Dissertation Abstracts International 79-12B(E).
Dissertation Abstract International
ISBN9780438098107
학위논문주기Thesis (Ph.D.)--The Ohio State University, 2017.
일반주기 Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
Adviser: Robert Burkholder.
요약It is of importance to understand the physics as electromagnetic (EM) waves propagate through stratified media, are scattered back from buried irregularities, and are received by an antenna in the near field. To generate better images, we need t
요약To form real-time continuous images of targets embedded in a layered structure, a near-field uniform diffraction tomographic (UDT) imaging algorithm is developed. Conventional diffraction tomography (DT) improperly applies the stationary phase m
요약To overcome the singularity problem caused by nulls in the antenna gain pattern in DT and UDT, a fast back-projection (FBP) imaging algorithm is propose to provide balanced monostatic and bistatic images, where both the stationary phase method a
요약After constructing a radar image, it is of interest to quantify buried target parameters, such as the shape, location, orientation, and size. These parameters can be estimated by the implementation of the spatial moment method. However, due to t
요약Lastly, it has been shown that the interface between the external region and a dense medium tends to focus the energy from the antenna straight into the medium due to refraction, losing important wide-angle illumination of embedded objects. This
일반주제명Electrical engineering.
Electromagnetics.
언어영어
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