利用改进的自适应增益卡尔曼滤波器在随机模式下建立一个小型姿态确定系统。
An extended Kalman filter with adaptive gain was used to build a miniature attitude and heading reference system based on stochastic model.
仿真结果表明，采用联邦滤波器对多敏感器卫星姿态确定系统进行信息融合，具有计算量小、精度高、可靠性好等优点。
Simulation results show that federated filtering based information fusion method for the multi-sensor satellite system is characterized by small computation cost, high precision and good reliability.
仿真结果表明：即使系统存在不确定性和外界干扰，仍可在闭环系统中实现精确的姿态控制。
Simulation results show that, in the closed-loop system, precise attitude control is accomplished in spite of the uncertainties and external disturbances in the system.
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