Classification and Recognition of Objects on Radar Portraits Formed by the Equipment of Mobile Small-Size Radar Systems

Abstract

The article considers the possibility of using algorithms for classifying and recognizing objects on radar portraits formed by the distributed mobile radar stations. The article covers the issues of detecting small-sized aerial objects using radar stations built using the technology of cascaded active phased waveguide-slot antenna arrays. The result of the work is the creation of a methodology and a software and hardware module based on a small-sized mobile intelligent radar system, an assessment of its implementation on a modern domestic element base and the determination of its characteristics. A method for recognizing small-sized objects based on the use of neural network algorithms is proposed.