【摘要】 设计了加性扩展Kalman滤波器(AEKF),对卫星姿态进行了准确估计。针对四元数法描述卫星姿态所引起的信息冗余能使滤波误差协方差阵产生奇异,并导致滤波发散,为此提出了用协方差阵降维法解决该问题。仿真结果表明,应用本文设计的滤波器,能有效克服姿态敏感器的量测噪声,准确估计出卫星的姿态。更多还原

【Abstract】 The additive extended Kalman filter(AEKF) is designed to estimate the satellite attitude accurately.Information redundancy caused by satellite attitude descriptions based on the quaternion method will lead the filtering error covariance array to be singularity,and cause the filtering divergence.Aiming at the problems,the covariance array dimension-reduced method is presented.The simulation results show that the AEKF designed in this paper can avoid measurement noises of the attitude sensors,and estimates the satellite attitude accurately.更多还原