A PSO-LSTM-based Method for Spatial Target Orbit Phase Prediction

As space becomes increasingly crowded and the orbital space environment gradually deteriorates, countries have gradually begun to pay attention to the in-orbit security of spacecraft. The timely and accurate sensing of space threats can effectively guarantee the in-orbit safety of our spacecraft. The orbital phase prediction for space targets is an important problem in the field of space situational awareness. In this paper, we propose a PSO-LSTM-based orbital prediction method for space targets, which has an accuracy rate of over 88.7% for different phases of orbital prediction.