The geometric model of two-dimensional refective objects

Synthesis of Partially Coherent Geometric Models of Radar Objects Based on Their Incoherent Models

“…The initial model consists of five points that emit uncorrelated normal random processes u i (t) with root-mean-square deviation (RMS) U i , where i is the number of the model emitter (Artyushenko & Kiselev, 2015). White circle markers show the position of the points with their coordinates in Figure 1.…”

“…This makes it difficult to use these models in the semi-realistic modeling or in any real device. As a measure of reducing the number of scatterers (model points), the transition to the so-called low-point geometric models is used (Artyushenko & Kiselev, 2015;Stepanov & Kiselev, 2019). They contain much fewer points, but can be applied for replacing only part of the radar target lying inside of the one radar resolution cell at the same time.…”

“…The low-point model synthesis is based on multipoint model in purpose of providing the geometrical and Doppler spectrum parameters of the replacing radar target with the high accuracy. Thus, for objects distributed over two angle coordinates, five or nine points (Artyushenko & Kiselev, 2015) are sufficient, which emit uncorrelated normal random processes with proper correlation properties (R i (τ) and S i (τ)-correlation functions of the same and dissimilar quadrature components, the signal emitted from the ith point of the model). Models whose points emit uncorrelated signals are called incoherent geometric models (Artyushenko & Kiselev, 2015).…”

“…Thus, for objects distributed over two angle coordinates, five or nine points (Artyushenko & Kiselev, 2015) are sufficient, which emit uncorrelated normal random processes with proper correlation properties (R i (τ) and S i (τ)-correlation functions of the same and dissimilar quadrature components, the signal emitted from the ith point of the model). Models whose points emit uncorrelated signals are called incoherent geometric models (Artyushenko & Kiselev, 2015). The next step toward reducing the number of points is the transition to partially coherent models, in which radiations from the points are statistically related and correlated.…”

“…This work aims to develop these results to a level that allows the transition from a two-dimensional geometric incoherent to a two-dimensional partially coherent model. The five-and nine-point incoherent models are explored in Artyushenko and Kiselev (2015). These models provide the independent control of the PRA…”