Abstract:

The near space hypersonic vehicle has the variable flight path, strong mobility and other characteristics. And the periodic skijump flight is a common and important maneuver form. Modeling the target acceleration as a stochastic process with time autocorrelation, combined with adaptive tracking thinking of the “current” statistical model, a model for the near space hypersonic vehicle maneuvering target tracking is proposed. Use the cubature Kalman filter algorithm to analyze the Monte Carlo simulation of the single model and the interactive multiple model, the results show that the model for tracking the near space hypersonic vehicle has a better tracking accuracy and applicability.