Trajectory estimation of hypersonic vehicle based on observations from infrared sensor on LEO satellite

Abstract

Strong nonlinear observation model of satellite infrared sensor is established and transformed into linear pseudo-measurement equation by unscented transform method. A kind of noise adaptive three-dimensional constant acceleration model is constructed for non-cooperative and strong maneuvering target. Real-time estimation on process noise is carried out to reduce dependence of the model on prior information. The trajectory of hypersonic vehicle is estimated using Kalman filter based on the proposed model and linear pseudo-measurement equation. Simulation results show that the proposed algorithm has high filtering precision, strong robustness and adaptability. It is applicable to the state estimation of strong maneuvering target with fuzzy or unknown dynamic characteristics and nonlinear measurement equation. © 2011 Springer-Verlag.