Conventional single-mode information fusion methods for aerospace target tracking and control often struggle with complex scenarios such as sudden sensor failure， abrupt target interference， and intense electromagnetic jamming. To address these limitations， the paper proposes a multi-modal adaptive fusion method that accommodates the kinematic characteristics of typical aerospace targets， including ballistic missiles， near-space hypersonic glide vehicles and aircrafts. To further enhance the sensor network’s adaptability to dynamic environments， a dynamic-threshold-based multi-modal switching strategy is designed， serving as the core mechanism for adaptive fusion while effectively preventing frequent false or delayed mode switching. Through systematic innovation， a multi-modal fusion architecture is established that surpasses the adaptive capability of the single algorithm. Experimental results demonstrate that the proposed method significantly improves both the full-course tracking and control capability for aerospace targets and the accuracy of trajectory fusion processing.