基于重力场特征参数信息熵的适配区选择方法

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。

Selection method for gravity-field matchable area based on information entropy of characteristic parameters

At present,there are a variety of characteristic parameters in gravity statistics,whose selection criteria are complex and can lead to incorrectly matching the effective area.To solve this problem,a selection method for gravity-aided navigation adaptation area is proposed based on the information entropy of characteristic parameters which can integrate a variety of statistical parameters and is low in calculation amount.Based on DTU10 model,comparison is made between the proposed method and the traditional method with single characteristic parameter,which proves that that traditional method may incorrectly choose the matching area,while the proposed method has not this disadvantage.The proposed method divide the gravity field into matching area and the non-matching area,and 8 simulation tracks are designed on either of the areas.Simulation results show the feasibility and effectiveness of the proposed method.