GEO 卫星星载GPS 定轨的抗差积分滤波方法
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Robust Integral Filter Method for Geostationary Satellite Orbit Determination Based Space-Borne GPS
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    摘要:

    针对星载GPS 确定GEO 卫星轨道时观测个数有限和观测值易存在粗差的问题,综合运用抗差估计原理 和轨道滤波方法,提出了抗差积分滤波方法。抗差积分滤波方法融合卫星的运动学信息和星载GPS 观测信息,不受 观测数据的限制,能够得到连续的轨道解并抵抗粗差的影响。笔者推导了抗差滤波的基本公式,给出了抗差积分滤 波的递推公式,并以FY-2D 卫星为例进行了仿真实验。实验结果表明:该方法能提高定轨精度,降低粗差的对定轨 结果的影响。

    Abstract:

    Robust integral filter method is proposed to determine the orbit for geostationary (GEO) satellites and solve the problems that poor visibility and gross error in the measurements based space-borne, applying robust estimation and orbit filter method. Robust integral filter method combining dynamic information of satellite and space-borne GPS measurement is not limited by number of measurement and can get continuous orbit solutions which resist the impact of outliers. Base formula is derived for robust filter, then robust integral filter formula is achieved, at last, take FY-2D as an example, simulation tests was made, and the results show that the proposed method can improve accuracy for GEO orbit determination and decrease the influence of gross errors in space-borne GPS measurement.

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柳丽,董绪荣,郑坤,杨洋,孙慧慧. GEO 卫星星载GPS 定轨的抗差积分滤波方法[J].,2011,30(07):69-72.

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  • 收稿日期:2013-01-23
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