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Research on Satellite Attitude Determination with Adaptive Filter

机译:自适应滤波器卫星姿态测定研究

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When satellite is running, it may be influenced by external factors, and the measurement models of gyro and star sensor are changing with time uncertainly. This situation may lead extended Kalman filter(EKF) divergent. So new adaptive filter can be used in this situation, and it can estimate process noise and measuring noise on-time. This paper has applied Sage-Husa adaptive filter in satellite attitude determination. This adaptive filter algorithm can estimate satellite attitude parameters and gyro drift on-time with high accuracy reaching 10~(-3) level, and stability of the algorithm is also very good.
机译:当卫星正在运行时,可能受到外部因素的影响,并且陀螺仪和星传感器的测量模型在不确定的时间内随时间变化。这种情况可能导致扩展卡尔曼滤波器(EKF)发散。因此,可以在这种情况下使用新的自适应滤波器,并且它可以估算过程噪声和准时测量噪声。本文在卫星姿态确定中施加了Sage-Husa自适应滤波器。这种自适应滤波算法可以估计卫星姿态参数和陀螺仪,随着10〜(-3)水平的高精度,算法的稳定性也非常好。

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