Abstract: Aiming at the problems of inaccurate target trajectory prediction, easy track discontinuity, great influence of noise signal and inability to meet the real-time processing of signal in shipborne radar signal, this paper proposes a dynamic prediction and display algorithm of shipborne radar track based on artificial intelligence, so as to improve the intelligent level and target recognition ability of shipborne radar, and provide important technical support and innovative ideas for accurate prediction of target track. Firstly, the intelligent recognition and classification of target track points are used to effectively distinguish the target and interference signals, so as to improve the target recognition ability of ship-borne radar. Then, the trajectory curve of target track points is fitted to provide strong support for target trajectory analysis. Finally, the sliding window is used to meet the real-time task requirements, realize the real-time processing and analysis of radar echo signals, and improve the real-time performance of target track display. The experimental results show that the accuracy of the real-time dynamic prediction algorithm for ship-borne radar track proposed in this paper is 92.61 %, and the recall rate is 98.98 %, which is better than other related algorithms.