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The trajectory prediction of moving objects has good application value in the tracking and recognition of moving objects. Moving object trajectory prediction is based on moving target motion parameters acquisition and estimation, moving target motion parameter information of the feature scale larger, traditional single component time series analysis methods difficult to achieve accurate parameter estimation and trajectory prediction. A moving object trajectory prediction algorithm based on multi sensor information fusion and tracking is proposed. Firstly moving object trajectory tracking control object description and constraint parameters analysis of trajectory prediction of mass movement parameter information of information fusion and self is a whole qualitative control, through data analysis method to move the object motion parameters accurate estimation and detection, thus to guide the accurate prediction of trajectories of moving objects and improve prediction accuracy. The simulation results show that the proposed algorithm is used to estimate the motion parameters of moving objects and the accuracy of trajectory prediction is higher, and the performance of the proposed method is stronger, and the robustness is better, and the related indexes are better than the traditional method.