针对目标星无信息传递以及无特征光点的非合作目标交会对接问题,提出了一种利用立体视觉的相对运动估计方法.由于测量装置安装在非质心位置时,CW方程描述的卫星相对运动所存在的误差不能忽略,因而通过给出适用于椭圆轨道和圆轨道下的一般耦合模型,来描述姿态运动对位置运动的影响.为了克服模型的严重非线性以及噪声统计特性时变的问题,提出了基于Sage-Husa噪声估计器的自适应滤波器.仿真表明:该算法能够适应测量噪声统计特性随时间变化的情况,具有较高的相对运动估计精度.
A relative state estimation method is proposed based on stereo vision for non-cooperative satellite with no communication and information about structure.Since the error of clohessy wiltshire (CW) model can not be neglected when camera does not coincide with the center of mass of spacecraft,a general kinematic coupling which is appropriate for both eccentric orbit and circular orbit is used to describe the relationship between rotation and translation dynamics.Adaptive cubature Kalman filter combing Sage-Husa noise statistic estimator is introduced for nonlinear filtering problem with time-varying noise.Simulation results show that the method can be able to adapt the time-varying noise and its precision for relative motion estimation is higher.