多特征值分析的重力辅助导航适配区选择方法

Methods for Selecting Gravity Assisted Navigation Adaptation Zone Based on Multi-Eigenvalue Analysis

对适配区进行一定的选择可以提高重力匹配导航精度。目前传统重力匹配导航区域的选择方法通常是利用单一评价指标,导致评价结果不全面。针对这种情况,本文基于信息熵、模糊综合决策和主成分分析3种方法对适配区进行多指标综合选取;并通过ICCP匹配算法进行实验计算分析,结果表明3种方法均具有较好的效果。利用3种方法计算出的可导航能力高的区域匹配效果更优,其中基于模糊综合决策方法和主成分分析法的结果优于信息熵法。

A certain choice of the adaptation area can improve the accuracy of gravity matching navigation.At present,the traditional gravity matching navigation area selection method usually uses a single evaluation index,resulting in incomplete evaluation results.Aiming at this case,multiple indicators in the adaptation region using three methods to calculate are comprehensively selected based on information entropy,fuzzy comprehensive decision-making and principal component analysis,and the ICCP matching algorithm is used for experimental calculation and analysis.The results show that all three methods have good results.The regional matching effect with high navigability is better using three methods to calculate,and the results based on fuzzy comprehensive decision method and principal component analysis are better than those of information entropy method.