An iterative filter for nonlinear satellite attitude determination system with multiplicative stochastic matrix

作者：Wang Jiong Qi^*; Jiao Yuan Yuan; Zhou Hai Yin; Pan Xiao Gang

来源：Acta Electronica Sinica, 2011, 39(6): 1417-1422.

• Application range
• Attitude determination
• Attitude estimation
• Effective performance
• EKF (extended Kalman filter)
• Filter algorithm
• Linearization errors
• Multiplicative noise
• Particle filter
• Projection formulas
• Satellite attitude
• Simulation result
• State equations
• Stochastic matrices

An iterative attitude estimation algorithm was proposed to solve multiplicative stochastic matrix in satellite attitude determination system. Based on the principle of linear minimum-variance and projection formula, the attitude iterative filter algorithm was deduced. By linearizing and iterating two times respectively for state equation and measure equation, the algorithm can reduce the influence of linearization error to the attitude determination precision. The algorithm enlarges the application range of EKF in the state estimation of nonlinear systems with multiplicative noise. Simulation results indicate that the proposed algorithm provides effective performance in the presence of multiplicative stochastic matrix.

• 出版日期2011