| CPC G01S 7/415 (2013.01) [G01S 7/417 (2013.01); G01S 13/723 (2013.01)] | 18 Claims |

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1. A method for predicting an impact point using an impact point predicting device including a processor, the method comprising:
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;
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,
wherein the neural network model includes an input layer set to input detection information and prior information of a flying object, an output layer outputting the determining result, and a model parameter trained to have a correlation between the detection information, the prior information, and the determining result based on a supervised training by using label information specifying whether the flying object is capable of non-linear maneuver.
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