| 应用预测滤波估计卫星姿态 |
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| 引用本文： | 叶修松,吴星,赵东明.应用预测滤波估计卫星姿态[J].测绘科学,2009,34(4). |
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| 作者姓名： | 叶修松 吴星 赵东明 |
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| 作者单位： | 信息工程大学测绘学院,郑州,450052 |
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| 基金项目： | 国家自然科学基金(20774031);;全国优秀博士学位论文作者专项基金项目(200344) |
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| 摘 要： | 本文推导了预测滤波法的基本原理,应用了预测滤波作为卫星姿态状态预报算法,并与经典卡尔曼滤波进行了比较。实验表明采用预测滤波法对不同姿态角均能得出较好的估计结果,克服了经典卡尔曼滤波法进行估计存在的估计模型误差和推广卡尔曼滤波(EKF)的线性化误差。
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| 关 键 词： | 预测滤波 卫星姿态 陀螺动力学模型 |
Estimating satellite attitude with predictive filtering |
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| YE Xiu-song,WU Xing,ZHAO Dong-ming.Estimating satellite attitude with predictive filtering[J].Science of Surveying and Mapping,2009,34(4). |
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| Authors: | YE Xiu-song WU Xing ZHAO Dong-ming |
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| Institution: | Institute of Surveying and Mapping;Information Engineering University;Zhengzhou 450052;China |
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| Abstract: | In this paper the principle of the predictive filtering method was deduced,and the method was applied in the prediction of satellite attitude states and the result was compared with that of classic Kalman filter.Experiment shows that for different attitude angles the predictive method can lead to anticipated estimations,which overcomes the error of estimation model of classic Kalman filter and the linearization error of the Extended Kalman Filter(EKF). |
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| Keywords: | predictive filtering satellite attitudes gyro dynamics model |
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