基于重力场特征参数信息熵的适配区选择方法

发布时间：2018-06-21 14:33

本文选题：重力匹配导航 + 特征统计参数　；参考：《中国惯性技术学报》2016年06期

【摘要】：针对当前重力统计特征参数类别繁多,选择标准复杂而导致错选有效匹配区域的问题,利用信息熵具有能够整合多种统计参数且算法计算量小的特点,提出了一种基于特征参数信息熵的重力辅助导航适配区的选择方法。首先,在DTU10模型下将该方法与传统单一特征参数的方法进行比较,确定了传统方法的确会错误选择可匹配区,从而也反映了所提出方法的优越性;其次,在该方法划分出的匹配区和非匹配区中分别设计了8条仿真航线,匹配区中仿真航线的匹配效果明显优于非匹配区中的匹配效果。仿真结果表明了该方法的有效性。
[Abstract]:Aiming at the problem that there are many kinds of characteristic parameters of gravity statistics, and the selection criteria are complex, which leads to the problem of misselecting effective matching region, the information entropy has the characteristics of integrating various statistical parameters and less computational complexity of the algorithm. In this paper, a method of selecting suitable areas for gravity aided navigation based on characteristic parameter information entropy is proposed. Firstly, by comparing this method with the traditional method of single characteristic parameter in DTU10 model, it is determined that the traditional method does misselect the matching region, which also reflects the superiority of the proposed method. Eight simulation routes are designed in the matching region and the mismatch area, respectively. The matching effect of the simulation route in the matching area is obviously better than that in the non-matching area. Simulation results show the effectiveness of the method.
【作者单位】：信息工程大学地理空间信息学院;海军海洋测绘研究所;
【基金】：国家自然科学基金项目(41474012) 国家重大科学仪器设备开发专项资助项目(2011YQ12004503) 国防973计划资助项目(613219)
【分类号】：U675.7

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