Radar Target Recognition Based on Machine Learning

Abstract

The intelligence of the air situation is based on radar information about the air enemy, which allows you to reveal the raid's target, determine the composition and means that take part in the raid, determine the most dangerous means and ensure that weapons are aimed at them. The article's main goal is to build a target recognition model in the form of AGM-86C (CALCM) and CR Taurus KEPD 350 cruise missiles. A module for recognising AGM-86C and Taurus KEPD 350 cruise missiles have also been built, which sufficiently accurately recognises these types of missiles (accuracy - 84.52%). Because one of the missiles is sometimes referred to as a missile developed using "stealth" technology, the model can be considered effective. The disadvantage of the model is that the model is trained on only two types of missiles. The problem is that the data on the effective scattering surface of all missiles in any state's arsenal is top-secret data. © 2023 Copyright for this paper by its authors.