基于扩散模型轨迹预测的变机动目标制导律研究OA

With the continuous enhancement of target maneuverability in the combat environ-ment,the characteristics of target maneuverability often exhibit irregular and nonlinear especially dur-ing terminal engagements,which make it difficult for missiles to accurately predict the changes of tar-get motion,resulting in increased miss distance.Conventional guidance laws including proportional navigation(PN),adaptive sliding-mode control and guidance methods based on classical control theory are formulated solely on real-time state measurements.Consequently,those strategies lack the ability to predict the future motion trends of the target.For addressing this issue,this paper proposes a guidance law for variable maneuvering targets using trajectory prediction based on diffusion models.Proposed diffusion model including an encoder-decoder architecture takes the target's historical trajec-tory,predicted noise,and diffusion-step embedding as inputs to predict future trajectories based on past motion of the target.During the real-time guidance process,the model predicts the target's future trajectory online,and estimates the future line-of-sight(LOS)angle variation from the pre-dicted trajectory.Then introduces an accumulation mechanism based on the predicted LOS angle dif-ferences.The compensation term for the proportional guidance law is constructed by accumulating the angle deviations over successive time steps and a compensation coefficient.Experimental results show that the proposed guidance method reduces the average interception time by more than 4.5 s under various target maneuvering flight scenarios compared with the conventional guidance law without trajec-tory prediction.This method still achieves effective target engagement under complex conditions such as high-speed maneuvers.