Target trajectory prediction method and device, equipment and storage medium

The invention discloses a target trajectory prediction method, device and equipment and a storage medium, and the method comprises the steps: continuously improving a trajectory prediction model in a case library through case learning in the face of a new target type or a new motion mode through case matching, case reuse and case learning mechanisms; the problem of insufficient generalization ability of the existing trajectory prediction method based on kinetic analysis, statistical modeling, parametric modeling, artificial neural network and the like is solved, and the trajectory prediction ability of the non-cooperative air target is improved. 本发明公开了一种目标轨迹预测方法、装置、设备及存储介质，该方法通过案例匹配、案例重用、案例学习机制，在面临新的目标类型或新的运动模式时能够通过案例学习不断完善案例库中的轨迹预测模型，解决了现有基于动力学分析、统计建模、参数化建模、人工神经网络等轨迹预测方法存在的泛化能力不足的问题，提升了对非合作空中目标的轨迹预测能力。