摘要
概述了模板匹配法、模糊匹配法及灰关联分析法,以了解特征参数匹配法的优缺点。重点对灰关联分析法中分辨系数取值和权重值的确定问题进行分析,并提出改进的灰关联分析法。该方法首先对原始数据规范化处理,综合了序列取值法和自适应动态取值法对灰关联分析法进行改进。仿真证明改进的灰关联分析法能够对有误差的和参数缺省的雷达信号进行较好处理,对雷达信号识别更具有实时性,能够提高分析结果分辨率。
The template matching, fuzzy matching and gray correlation analysis are introduced to under- stand the advantages and disadvantages of feature parameters matching method. The problem of valuing the resolution coefficient and determining the weight are analyzed, and the improved gray relational analysis meth- od is proposed. In this method, the datum is processed by using the normalization. Then, the gray correlation analysis method is improved by using the sequence value method and the adaptive dynamic value method. The simulation results show that the improved gray relational analysis method can deal with inaccurate and parame- ter default radar signal, enhance the real-time performance of radar signal recognition and increase the resolu- tion of the result data.
出处
《航天电子对抗》
2017年第2期9-13,16,共6页
Aerospace Electronic Warfare
关键词
模板匹配法
模糊匹配法
灰关联分析法
分辨系数
权重
雷达信号识别
template matching method
fuzzy matching method
gray relational analysis method
resolu-tion coefficient
weight l radar signal recognition
