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作 者:杨云涛 张玉芝 关贞珍 孙荟 赵立蕊 赵浩然 YANG Yuntao;ZHANG Yuzhi;GUAN Zhenzhen;SUN Hui;ZHAO Lirui;ZHAO Haoran(Department of Automotive Engineering,Hebei Vocational University of Industry and Technology,Shijiazhuang 050091,China;Shijiazhuang Campus of Army Engineering University,Shijiazhuang 050003,China)
机构地区:[1]河北工业职业技术大学汽车工程系,石家庄050091 [2]陆军工程大学石家庄校区,石家庄050003
出 处:《中国惯性技术学报》2023年第7期659-664,共6页Journal of Chinese Inertial Technology
基 金:国防重点预研项目(51309060301)。
摘 要:高精度区域地磁场建模是组合导航定位中的关键技术,针对目前Taylor多项式建模、Kriging插值建模局部数据失真、分辨率不高等问题,提出了基于变异参数矩阵阈值识别的融合式插值建模算法。自动区分数据变化剧烈区域和平缓区域,智能选择相适应的建模算法,设计了融合式模型边界衔接数据修补完善算法,提高了区域地磁场分辨率,实现了整体数据平滑过渡。不同区域地磁场建模仿真实验表明,所提算法的模型分辨率优于Taylor多项式算法和Kriging插值算法,区域数据误差均方差至少降低了56%,具有一定的实用价值和应用前景。High-precision regional geomagnetic field modeling is a key technology in integrated navigation and positioning.Aiming at the problems of local data distortion and low resolution in Taylor polynomial modeling and Kriging interpolation modeling,a fusion interpolation modeling algorithm based on threshold recognition of variable parameter matrix is proposed.Regions with sharp data changes and regions with gentle data changes can be distinguished automatically,and the adaptive modeling algorithm can be selected intelligently.The fusion model boundary connection data repair algorithm is designed to improve the regional geomagnetic field resolution and realize the smooth transition of the whole data.Simulation experiments of geomagnetic field modeling in different regions show that the model resolution of the proposed algorithm is better than that of Taylor polynomial algorithm and Kriging interpolation algorithm,and the mean square error of regional data is reduced by at least 56%,which has certain practical value and application prospect.
分 类 号:U666.1[交通运输工程—船舶及航道工程]
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