Method and device for predicting impact point based on non-linear maneuver identification of flying object

Abstract

A method for predicting an impact point is proposed. The method may include acquiring detection information related to a flying object detected by a radar linked to the impact point predicting device through a communication interface, acquiring prior information including information about an enemy unit, a friendly unit, and a friendly facility. The method may include determining whether the detected flying object is a flying object capable of non-linear maneuver based on the detection information and the prior information, using a neural network model pre-trained using training data so that the neural network model determines whether the flying object is the flying object capable of non-linear maneuver based on detection information and prior information and determining an impact point based on the detection information, the prior information, and a determining result of the neural network model on whether the detected flying object is the flying object capable of non-linear maneuver.