Prediction of electromagnetic waves scattering on complex shape large objects

Abstract

Relevance. Currently, the question radar cross-section (RCS) modelling of real targets arises. Experimental measurement is difficult to implement, and existing methods of theoretical calculation usually require a lot of time. Therefore, it is necessary to develop new methods of collecting and processing experimental data and theoretical modeling, which will allow to speed up the assessment of the RCS of various objects. An important task now is to create a radar that will be able to detect even well-camouflaged targets. On the other hand, there is a need to mask one's own objects. Given the latest trends in the use of low-visibility targets, the reflected signal from which can be almost at the noise level, it is necessary to learn how to distinguish it from the signals of other objects. Thus, the current task is to create effective methods for predicting scattering on typical radar targets, the use of which will not require a lot of time for modeling.

Objective Obtaining an equation for calculating the effective scattering surface of a system of bright point reflectors with different radiation patterns.

Methods. Using physical and geometric optics methods to obtain the equation of the radar cross-section of bright point reflector systems. Using the Python programming language, as well as its libraries NumPy and Matplotlib for calculations and plotting.

Results. An equation for calculating the radar cross-section of bright point reflector systems has been obtained for the cases of isotropic reflectors and different angular dependence of the effective scattering surface. Graphs have been constructed for cases where the RCS of each scatter is constant and varies according to certain laws.

Conclusions. The final formula for calculating the RCS of bright point reflector systems was obtained, and regularities were found for different RCS values of the reflectors.