Keywords: modeling, optimization, electromagnetic wave scattering, integral equation, genetic algorithm, radio communication
Model study of electromagnetic wave scattering on electrodynamic structures with the application of dielectric materials
UDC 537.87
DOI: 10.26102/2310-6018/2023.43.4.020
Radar signal scatterers (space, air, ground and water-based radar targets) and electromagnetic wave energy converters (spatial light modulators, means of reducing visibility in the radio wave range, antenna devices in the ultra-high frequency wave range) have complex geometry and large electrical dimensions and also contain absorbing and nonlinear elements. The analysis and synthesis of this electrodynamic technique based on rough knowledge of the physical processes occurring in these objects can cause significant and difficult-to-control errors in the assessment of their main characteristics, which change rapidly with changes in frequency, type of polarization and angle of incidence of electromagnetic waves. This paper examines a methodological approach aimed at evaluating and optimizing the scattering characteristics of electromagnetic waves that occur when electromagnetic fields interact with electrodynamic structures containing dielectric inclusions. To calculate these characteristics, the method of integral equations is used, and a genetic algorithm is employed to optimize them. The results of the study demonstrate the efficiency of the proposed approaches. The methodological approach considered in the paper can be used to improve the electromagnetic compatibility of devices, reduce their radar visibility.
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Keywords: modeling, optimization, electromagnetic wave scattering, integral equation, genetic algorithm, radio communication
For citation: Avetisyan T.V., Lvovich Y.E., Preobrazhenskiy A.P., Preobrazhenskiy Y.P. Model study of electromagnetic wave scattering on electrodynamic structures with the application of dielectric materials. Modeling, Optimization and Information Technology. 2023;11(4). URL: https://moitvivt.ru/ru/journal/pdf?id=1408 DOI: 10.26102/2310-6018/2023.43.4.020 (In Russ).
Received 22.06.2023
Revised 06.10.2023
Accepted 06.12.2023
Published 31.12.2023