主成分分析法在UUV集群反水雷搜索中的应用

Application of Principal Component Analysis in MCM Search by UUV Group

摘要:

为实现 UUV 集群反水雷搜索方法的优选，简要分析了影响 UUV 集群反水雷搜索的 5 个主要因素：发现概率、搜索时间、UUV 数量、集群方式和实施难易程度，并建立了搜索方法优选的评估指标体系； 然后，运用主成分分析法对多项评估指标进行了综合分析；最后，对 4 种典型的反水雷搜索方案进行了优选评估，为研究不同条件下如何选择有效的搜索方法提供了决策依据。

Abstract:

To achieve the optimization of MCM search by UUV group，five main factors which influence the effects of MCM search by UUV group are briefly analyzed，including detection probability，search time，UUV quantity， grouping method and difficulty of implementation. Besides，the evaluation index system for the optimization of search method is established. Then，comprehensive analysis is conducted on multiple evaluation indexes using principal component analysis method. Finally，the four types of MCM search scheme are optimized and evaluated，providing decision-making basis for the research on how to choose effective search method in different conditions