A tactical maneuver trajectory prediction method using gate recurrent unit based on triangle search optimization with AdaBoost

In order to obtain accuracy trajectory of target aircraft in UCAV air combat process, a maneuver trajectory prediction method is designed in this paper. To describe the intention knowledge, the tactical maneuver trajectory units are defined according to trajectory characteristics parameters. Based on the definition of units, the tactical maneuver trajectory prediction model is divided into tactical maneuver trajectory unit prediction module and maneuver trajectory point prediction. To solve prediction model, gate recurrent unit based on triangle search optimization with AdaBoost is proposed. Though fusing the two nodules, the tactical maneuver trajectory prediction method using TSO-GRU-Ada is designed. The simulation results for two case air combat data show that the proposed method is effective and meets the real time of air combat.