在多传感器目标跟踪问题中,利用信息融合技术可以有效的提高跟踪精度。但高精度的融合估计通常对计算、通信资源要求较高,而资源要求较低的融合方法其解通常又是次优的。自适应航迹融合算法的计算过程可以根据当前系统的特性和需求,依据融合决策树自适应地选定航迹融合算法。仿真结果表明自适应算法具有接近加权协方差算法的精度,而计算量则减少一半左右。 In the multi-sensor target tracking problem, the use of information fusion technology can effectively improve the tracking accuracy. However, high-precision fusion estimation usually requires high computational and communication resources, and the fusion method with lower resource requirements is usually suboptimal. Adaptive trajectory fusion algorithm calculation process can be based on the current system characteristics and needs, based on the fusion decision tree adaptive selection trajectory fusion algorithm. The simulation results show that the adaptive algorithm has the accuracy close to the weighted covariance algorithm, and the amount of computation is reduced by about half.