Research on the Method for Estimating the Motion state of the Opponent's Agent in the Confrontation Environment

In this paper, we mainly study the method of estimating the opponent's behavior in the confrontation environment. Firstly, the method of estimating the motion state of the other agent is studied. Then, the state estimation algorithm is designed, and weighted average filter is used to improve the state estimation of moving targets. Finally, the effectiveness of the algorithm is proved by experiments. Emphasizes the importance of intelligent learning.