Estimation of statistical radar characteristics of object by spatial diagram of backscattering in equidistant angular grid

Abstract

The methodological approach to estimation the statistical radar characteristics (mean, median and rms-square deviation values of RCS) of an object using a spatial diagram of backscattering formed in nodes of an equidistant azimuthal-angular coordinate grid is presented. The proposed approach is tried out using the model spatial diagram of backscattering of the tested object. The approach is based on the assumption of the uniform law of distributing he views of an object and implements the formation of a variation series from the samples of the RCS diagram weighted with the probability density function of the location angles. The values of the function are determined by the ratio of the area surrounding the node of the grid cell to the total area of the location sector corresponding to the solid angle 4π. The calculation of areas of cells having the shape of spherical polygons is implemented using the relations of geometry of constant curvature regions. The proposed approach is tried out using a model spatial diagram of backscattering of a test object. To verify the obtained results, a simulation model of formation evenly distributed points on the surface of a spherical coordinate grid describing the observation of an object from random equivocal angles has been developed. To verify the obtained results, a simulation model of formation evenly distributed points on the surface of a spherical coordinate grid describing the observation of an object from random equivocal angles has been developed.