| 卫星自主导航系统存在常值偏差的滤波方法研究 |
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| 引用本文： | 程会艳,郝云彩,乔国栋.卫星自主导航系统存在常值偏差的滤波方法研究[J].宇航计测技术,2010,30(4):14-18. |
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| 作者姓名： | 程会艳 郝云彩 乔国栋 |
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| 作者单位： | 北京控制工程研究所,北京,100190;空间智能控制技术国家级重点实验室,北京,100190 |
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| 摘 要： | 由于敏感器常值偏差对导航精度影响较大,因此有必要对其进行标定。考虑到传统常偏扩维算法计算量大,且可能出现数值病态的问题,提出了两步UKF算法,该算法对状态和偏差实施分离估计,从而达到解耦目的。不仅能够准确标定常值偏差,而且还可以提高导航精度。近地卫星自主导航系统仿真结果验证了该算法的有效性。
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| 关 键 词： | 卫星导航 常值偏差 卡尔曼滤波 分离估计 |
Filter Algorithm in Satellite Autonomous Navigation System with Constant Bias |
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| CHENG Hui-yan,HAO Yun-cai,QIAO Guo-dong.Filter Algorithm in Satellite Autonomous Navigation System with Constant Bias[J].Journal of Astronautic Metrology and Measurement,2010,30(4):14-18. |
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| Authors: | CHENG Hui-yan HAO Yun-cai QIAO Guo-dong |
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| Institution: | 1.Beijing Institute of Control Engineering,Beijing 100190;2.National Laboratory of Space Intelligent Control,Beijing 100190) |
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| Abstract: | According to the effect of the constant bias on the navigation precision is distinct,it is necessary to estimate.Since the amount of computation in traditional extended dimension algorithm is great,the two-stage Unscented Kalman Filter（TUKF） is proposed,which could estimate the state variants and bias respectively.By this way,the constant bias can be estimated accurately,and the navigation precision can be improved obviously.The simulation results for low-earth autonomous navigation system show that the proposed algorithm is effective. |
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| Keywords: | Satellite navigation Constant bias Kalman filter Separation estimation |
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