Artificial Neural Networks in the Filtration of Radiolocation Information

Abstract

The article describes the practical application of artificial neural network in the processing of post-processing radar information, such as echoes filtration from the solid objects, automatic establishment of recognition zones, work with disturbances, tracking of aircraft and testing their flight characteristics, and even an attempt to identify the type of aircraft based on the obtained characteristic of the effective reflection surface of the object. The measurement results have been presented in the form of appropriate tables, charts, screenshots conclusions and implementation possibilities in the current generation of radiolocation devices.