| 多模型高精度组合导航算法研究 |
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| 引用本文： | 曹梦龙,崔平远.多模型高精度组合导航算法研究[J].系统工程与电子技术,2008,30(7). |
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| 作者姓名： | 曹梦龙 崔平远 |
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| 作者单位： | 1. 哈尔滨工业大学深空探测基础研究中心,黑龙江,哈尔滨,150001;青岛科技大学自主导航与智能控制研究所,山东,青岛,266042
2. 青岛科技大学自主导航与智能控制研究所,山东,青岛,266042 |
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| 基金项目： | 国家"863"高技术计划基金资助课题 |
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| 摘 要： | 针对复杂操作环境所引起的INS/GPS组合导航系统模型参数变化导致单一固定参数滤波器精度降低问题,提出了多模型自适应Kalman滤波算法,并与单一模型下的Kalman滤波器方法进行了比较。仿真结果表明,相对于单一模型的Kalman滤波算法,该算法能大大提高导航系统的精度和可靠性。
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| 关 键 词： | 算法研究 组合导航 滤波器设计 多模型自适应估计 |
Study of IMM high precision integrated navigation algorithm |
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| CAO Meng-long,CUI Ping-yuan.Study of IMM high precision integrated navigation algorithm[J].System Engineering and Electronics,2008,30(7). |
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| Authors: | CAO Meng-long CUI Ping-yuan |
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| Institution: | CAO Meng-long1,2,CUI Ping-yuan2 |
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| Abstract: | Aiming at the impreciseness of the model parameter at the situation of maneuverability,a multi-model Kalman filter algorithm is designed for INS/GPS integrated navigation system.The application of integrated navigation systems is studied with simulation.Simulation results show that the proposed algorithm can improve the accuracy and reliability of integrated navigation systems greatly compared with the single-model algorithm. |
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| Keywords: | algorithm study integrated navigation Kalman filtering design multi-model adaptive estimation |
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