Multi-Input 2D Convolutional Neural Network for Radar Target Identification

Radar systems have been integral to airspace surveillance and civil aviation monitoring since its early widespread application during WWII. However, the discrimination between friendly and hostile aircrafts has always been challenging due to the limited amount of information that can be obtained from an aircraft in the critical decision-making timeframe. In this paper, an AI machine learning technique is applied for aircraft echoes classification and decision making with significant results in accuracy and recall.