Hypersonic vehicle is a new concept vehicle developed by many countries in recent years.Aiming at the problem that it is difficult to track its flight trajectory with high precision,combined with the strong adaptive and self-learning ability of neural network,an online feedback filtering algorithm for hypersonic vehicle is proposed.Based on the current statistical model,BP neural network and Kalman filter are used to design the filter to realize the high-precision tracking of hypersonic vehicle.Finally,the simulation results show that the online feedback filtering algorithm is effective in tracking hypersonic vehicle.