基于主成分分析法的地磁导航适配区域选择
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(海军航空大学,山东烟台 264001)

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TP391

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Selection of Adaptive Area in Geomagnetic Navigation Based on the Principal Component Analysis
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(Naval Aviation University, Yantai Shandong 264001, China)

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    摘要:

    地磁场信息量越大的区域,导航性能越好。借用数理统计和信息论中的概念,设定了多个评价地磁场信息特点的指标,并通过主成分分析法,排除了相关指标,得到综合指标值,客观、定量地分析了适配区的导航性能,从而选择最佳导航适配区。仿真表明,本文方法是一种选择地磁导航工作区的有效方法,选择的适配区导航误差小。

    Abstract:

    The greater the magnetic field information, the better the navigation performance. By introducing the concept ofmathematical statistics and information theory, a number of criterions to evaluate the characteristics of geomagnetic infor.mation were established. Then by the principal component analysis, the relevant criterions were excluded, and the integrat.ed index was obtained. So the navigation performance of adaptive region was analyzed objectively and quantitatively. Ac.cording to the analysis, the best navigation adaptive area could be chosen. The simulation results showed that there werericher navigation information and better performance in select adaptive area.

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引用本文

黄婧丽,谭学者,张翔宇.基于主成分分析法的地磁导航适配区域选择[J].海军航空大学学报,2018,33(2):194-200
HUANG Jingli, TAN Xuezhe, ZHANG Xiangyu. Selection of Adaptive Area in Geomagnetic Navigation Based on the Principal Component Analysis[J]. JOURNAL OF NAVAL AVIATION UNIVERSITY,2018,33(2):194-200

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  • 在线发布日期: 2018-06-20
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