Tracking Micro Reentering USV with multi-sensors using fusion CKF algorithm

• 作 者: P.Huang;S.QIAN;H.N.Li;
• 出 处: 2014中国制导、导航与控制学术会议
• 发表日期: 2014年期

In this paper,a fusion CKF algorithm with TDRS (Tracking and Data Relay Satellite) and ground stations is presented for a micro reentering USV (Unmanned Space Vehicle).A micro reentering USV has high lift-drag ratio and maneuverability,unlike traditional reentry vehicle,is hard to track.In order to solve this problem,a fusion strategy of CKF (Cubature Kalman Filter) with multi-sensors is estimated.In the kinematics model,the aerodynamics parameters of reentering vehicle are designed.In the measurement models,although TDRS has more coverage capability than ground stations,a little angle error could cause a big error for the measurement data.Both TDRS and ground stations are presented.Meanwhile,in the filter algorithm,a new kind of filter named CKF is presented,which using spherical-radial cubature rule to numerically compute multivariate moment integrals encountered in the nonlinear filter.Also the fusion roles are used helping calculate the probabilities of multi-sensors.Simulation results show that the fusion CKF algorithm performs better than UKF in tracking sub-orbit USV and estimating the aerodynamics parameters.