电讯技术2017，Vol.57Issue(6)：656-660,5.DOI:10.3969/j.issn.1001-893x.2017.06.007
基于模糊聚类的常规通信信号自动分选方法
Automatic Sorting of Conventional Communication Signals Based on Fuzzy Clustering
吴麒1
作者信息
- 1. 中国西南电子技术研究所,成都610036
- 折叠
摘要
Abstract
To automatically sort conventional communication signals in interference environment,an automatic sorting method based on fuzzy clustering algorithm is proposed.Firstly,a differentiating function is used to calculate the optimal value of relevance threshold.Secondly,the fuzzy clustering algorithm is used to classify the signals included in measurement set derived from the result of frequency detection and direction finding.Finally,the basic characteristic parameters of each signal are estimated.Simulation results show that the algorithm can sort the conventional communication signals accurately in interference surroundings accurately without any assumption,and can estimate the characteristic parameters of narrow band signals correctly.关键词
常规通信信号/信号分选/参数估计/模糊聚类/相关度阈值Key words
conventional communication signal/signal sorting/parameter estimation/fuzzy clustering/relevance threshold分类
信息技术与安全科学引用本文复制引用
吴麒..基于模糊聚类的常规通信信号自动分选方法[J].电讯技术,2017,57(6):656-660,5.
