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Attitude Determination for Geosynchronous Spin Stabilized Satellites Based on the Revised Blind Signal Separation Algorithm

机译:基于修正盲信号分离算法的地球同步自旋稳定卫星姿态确定

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Aiming at the incomplete use of sensor information and complicated solving procedure in traditional combination attitude determination method for the spin-stabilized satellite, a new approach based on the blind signal separation algorithm was proposed. By analyzing the traditional attitude determination method and utilizing the attitude characteristics of the geosynchronous spin-stabilized satellite, not only was the present approach demonstrated to be feasible, but also the inherent fuzziness of the original algorithm was eliminated. At last some telemetry data from FENGYUN satellite were used to testify the algorithm, and the result showed the effectiveness of our approach on depressing system error and noise with high precise of attitude determination. In addition, this method was proved to be robust because of its capability of information fusion and correction, therefore the risk reduction of attitude determination with fault sensor data was realized.
机译:针对自旋稳定卫星传统组合姿态确定方法中传感器信息使用不充分,求解过程复杂等问题,提出了一种基于盲信号分离算法的新方法。通过分析传统的姿态确定方法并利用地球同步自旋稳定卫星的姿态特性,不仅证明了本方法是可行的,而且消除了原始算法固有的模糊性。最后,利用风云卫星的遥测数据对该算法进行了验证,结果表明,本方法有效地降低了姿态误差,降低了系统误差和噪声。此外,由于该方法具有信息融合和校正的能力,因此被证明是鲁棒的,因此可以降低使用故障传感器数据进行姿态确定的风险。

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