Radar Emitter Classification Using Self-Organising Neural Network Models

Abstract

This paper presents a Radar Emitter Identification and Classification technique based on Fuzzy ART and ARTMAP Neural Networks. The radar emitter's parameters of RF, PW, PRJ, Direction of Arrival(DOA) etc., are taken as inputs for the networks. The network is trained with the available data of the emitter types. After training, the network is used to identify the emitter type by applying the parameters of the emitter as inputs to the neural network. A number of simulations are carried out and the simulated results show that the network quickly and accurately identify and classify the emitter types.