| 基于博弈论的鲁棒滤波器应用于GPS/INS组合系统的设计研究 |
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| 引用本文： | 白宇骏,徐晓苏,刘国燕.基于博弈论的鲁棒滤波器应用于GPS/INS组合系统的设计研究[J].中国惯性技术学报,2003,11(4):7-10. |
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| 作者姓名： | 白宇骏 徐晓苏 刘国燕 |
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| 作者单位： | 南京东南大学仪器科学与工程系,江苏,南京,210096 |
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| 摘 要： | 考虑了组合导航系统中的不确定噪声问题；根据博弈理论与最优控制理论，提出一种能够在具有不确定噪声干扰中最小化滤波误差的极小极大值鲁棒滤波器。通过设计—种高动态的飞行轨迹进行仿真研究，发现在不确定噪声干扰下该算法具有比标准卡尔曼滤波器更高的精度。
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| 关 键 词： | 博弈论 鲁棒滤波器 GPS／INS组合导航系统 最优控制 卡尔曼滤波器 全球定位系统 惯性导航系统 |
| 文章编号： | 1005-6734(2003)04-0007-04 |
Design of Game-theory Based Robust Filter in Integrated GPS/INS Navigation System |
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| BAI Yu-jun,XU Xiao-su,LIU Guo-yan.Design of Game-theory Based Robust Filter in Integrated GPS/INS Navigation System[J].Journal of Chinese Inertial Technology,2003,11(4):7-10. |
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| Authors: | BAI Yu-jun XU Xiao-su LIU Guo-yan |
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| Abstract: | The problem of integrated navigation with uncertain noises is considered. Based on the game theory and LQG optimal control theory, the mini-max robust filtering is presented, which can minimize the filtering errors under the disturbance of uncertain noises. A high dynamics aircraft trajectory is designed for simulation. The results show that the mini-max robust filter performs better than standard Kalman filter when noise uncertainties exist. |
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| Keywords: | GPS/INS game theory robust filtering Kalman filtering |
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