Research on State Estimation of Hypersonic Glide Vehicle

Abstract

In order to estimate the motion state of the hypersonic glide vehicle, a motion model based on the aerodynamic parameters of the prototype CAV-H and an observation model of GEO infrared early-warning satellite were established. The exponential weighted recursive least square method with forgetting factor was used to measure the early-warning satellite observation data with measuring error in angle to obtain a fitting parameter describing the polynomial of the target state, The method can focus on the local motion of the target, dilute the influence of the early observation data on the fitting parameters, reduce the estimation error caused by the target manoeuvring. The simulation result shows that the estimation of both position and velocity of the hypersonic glide vehicle is highly accurate.