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An attitude determination method based on UKF and Optimal REQUEST double filter

机译:基于UKF和最优REQUEST双重滤波器的姿态确定方法

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The Inertial Stellar Compass (ISC) attitude determination system, which is the combination of MEMS (Micro electromechanical Systems) gyros and CMOS APS star sensor, has low precision. Quaternion attitude estimate of UKF has higher attitude estimate precision, and it can also estimate gyro drift, but it needs high precision of attitude parameters as observes. Optimal REQUEST could deal with starlit vectors orderly and giving high precise of attitude parameters. For the mutual complement of two methods, the paper gets attitude parameters from Optimal REQUEST as observes to UKF and puts forward an attitude determination method based on UKF and Optimal REQUEST double filter. The results of simulation show that this method has higher precise of attitude estimate than EKF and Optimal REQUEST filter.
机译:惯性恒星罗盘(ISC)姿态确定系统是MEMS(微机电系统)陀螺仪和CMOS APS星型传感器的组合,精度较低。 UKF的四元数姿态估计具有较高的姿态估计精度,并且还可以估计陀螺仪漂移,但是正如观察到的那样,它需要高精度的姿态参数。最佳REQUEST可以有序地处理星空矢量,并提供高精度的姿态参数。为了两种方法的互补性,本文从UKF的最优REQUEST中获得姿态参数,并提出了一种基于UKF和Optimal REQUEST双滤波器的姿态确定方法。仿真结果表明,该方法比EKF和最优REQUEST滤波器具有更高的姿态估计精度。

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