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    Electromagnetic Wave Scattering by Aerial and Ground Radar Objects

    Proposal review

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    Contributor(s)
    Sukharevsky, Oleg I. (editor)
    Language
    English
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    Abstract
    Electromagnetic Wave Scattering by Aerial and Ground Radar Objects presents the theory, original calculation methods, and computational results of the scattering characteristics of different aerial and ground radar objects. This must-have book provides essential background for computing electromagnetic wave scattering in the presence of different kinds of irregularities, as well as Summarizes fundamental electromagnetic statements such as the Lorentz reciprocity theorem and the image principle Contains integral field representations enabling the study of scattering from various layered structures Describes scattering computation techniques for objects with surface fractures and radar-absorbent coatings Covers elimination of "terminator discontinuities" appearing in the method of physical optics in general bistatic cases Includes radar cross-section (RCS) statistics and high-range resolution profiles of assorted aircrafts, cruise missiles, and tanks Complete with radar backscattering diagrams, echo signal amplitude probability distributions, and other valuable reference material, Electromagnetic Wave Scattering by Aerial and Ground Radar Objects is ideal for scientists, engineers, and researchers of electromagnetic wave scattering, computational electrodynamics, and radar detection and recognition algorithms.
    URI
    https://library.oapen.org/handle/20.500.12657/41695
    Keywords
    Electromagnetics and Microwaves; Communications System Design; Aerospace Engineering; ENG; ElectricalEngineering; MechanicalEngineering; SCI-TECH; STM; Computational Electrodynamics; Electromagnetic Scattering Theory; Electromagnetic Wave Scattering; Physical Optics Approximation; Radar Cross-Section Prediction; Radar Detection Algorithms; Radar Microwaves; Radar Recognition Algorithms; Radar Scattering Computation; Radar Scattering Software; RCS Prediction; Reduction of Radar Observability; Sergey V. Nechitaylo; Stealth Technology; Valery M. Orlenko; Vitaly A. Vasilets
    DOI
    10.1201/9781315214511
    Publisher
    Taylor & Francis
    Publisher website
    https://taylorandfrancis.com/
    Publication date and place
    2015
    Imprint
    CRC Press
    Classification
    Microwave technology
    Mobile phone technology
    Mechanical engineering
    Pages
    334
    Rights
    http://creativecommons.org/licenses/by-nc-nd/4.0
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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