Electromagnetic Wave Scattering by Aerial and Ground Radar Objects (PDF)
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- 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.
Oleg I. Sukharevsky is professor in the Air Force Research Center at Kharkiv Kozhedub University of Air Forces, Ukraine. He holds a diploma degree in computational mathematics from Kharkov Gorky State University, a candidate of technical science degree (Ph.D analog) from the All Union Research Institute of Radiotechniques, and a doctor of science in radar from Kharkov Govorov Military Academy of Air Defense. He has worked in the field of applied mathematics and computational electrodynamics since 1972. His current research interests include mathematical theory of diffraction and scattering characteristics of radar targets. He is an IEEE senior member, honored science worker of Ukraine, and author and coauthor of five books and over 150 papers.
- 2018, 334 Seiten, Englisch
- Herausgegeben: Oleg I. Sukharevsky
- Verlag: Taylor & Francis
- ISBN-10: 1482282615
- ISBN-13: 9781482282610
- Erscheinungsdatum: 03.09.2018
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Größe: 183 MB
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