Currently, the task of target recognition is of increasing interest, especially among developers of air traffic control and air defense systems.

The article is devoted to the development of an imitative mathematical model for the construction of two-dimensional radar images of airborne objects in the interest of assessing the quality of recognition in survey radars. The proposed simulation model for constructing two-dimensional radar images of airborne objects makes it possible to carry out comprehensive studies of portraits of 19 types of airborne objects of foreign and Russian production with a change in the angles of location, the nature and parameters of the flight instabilities of flight, the signal-to-noise ratio, the parameters of the radar probing signals, and range to the target. It is shown that in the absence of destabilizing factors (uneven rotation, radial displacement, presence of noise and noise, etc.), the two-dimensional radar image of air objects being formed adequately reflects the structure of the target.

The obtained results can be used in developing and assessing the quality of systems for recognizing classes and types of air assets based on signaling characteristics in existing and prospective radars.