Neural networks for active echo classification

Abstract

The paper explores the use of an artificial neural network to distinguish between echoes from a constellation of acoustic reflectors representing a target and similar echoes produced by other reflectors, e.g. reverberation. The network was both trained and tested with simulated data. A wide band linear frequency modulated pulse was used in order to resolve the highlights of the target.