A Target Tracking Method Based on Multi Nonlinear Filter Fusion for UAV Swarm

Considering target tracking has an important impact on UA V Swarm. On the basis of the typical nonlinear filtering target tracking algorithm, a multi nonlinear filtering fusion target tracking method has been proposed. The algorithm selects the nonlinear filtering algorithm intelligently by setting the timeliness factor, accuracy factor and the available swarm nodes numbers. The simulation results show that the multi nonlinear filter fusion method can improve the timeliness of target tracking in a certain accuracy range, and the selection factor has a correlation with the tracking accuracy.