Flight Trajectory Prediction Using an Enhanced CNN-LSTM Network

arXiv:2404.19218v1 Announce Type: new
Abstract: Aiming at the problem of low accuracy of flight trajectory prediction caused by the high speed of fighters, the diversity of tactical maneuvers, and the transient nature of situational change in close range air combat, this paper proposes an enhanced CNN-LSTM network as a fighter flight trajectory prediction method. Firstly, we extract spatial features from fighter trajectory data using CNN, aggregate spatial features of multiple fighters using the social-pooling module to capture geographic information and …

abstract accuracy arxiv change cnn combat cs.lg diversity flight low lstm nature network paper prediction speed trajectory type