In the process of multi-sensor target information fusion， a consistent distributed information filtering algorithm is proposed to improve the high dependence and low stability of the centralized filtering algorithm on the fusion center in the target tracking state estimation.The algorithm is based on the state information and measurement information of each sensor itself and neighbor nodes to achieve real-time tracking and positioning of the target， and each node is a data processing center， which solves the problem of insufficient anti-damage capacity of the fusion center and ensures that when some sensor nodes have problems， the global task can be carried out smoothly. Simulation analysis shows that the consistency distributed filtering algorithm can solve the problem of multi-sensor target tracking information fusion， and its accuracy is higher than that of a single sensor， and tends to be the accuracy of multi-sensor centralized information filtering， which can be applied to nonlinear system tracking with high stability and reliability.