计算机应用研究2011，Vol.28Issue(2)：661-664,691,5.DOI:10.3969/j.issn.1001-3695.2011.02.072
基于聚类分析的常规通信信号自动分选方法
Automatic sorting method of conventional communication signals based on clustering analysis
贾可新 1蒋林鸿 1何子述1
作者信息
- 1. 电子科技大学电子工程学院,成都,611731
- 折叠
摘要
Abstract
To automatically sort conventional communication signals from interference surroundings, this paper proposed a clustering analysis based sorting method. The sorting method consisted of the following two key parts, measurement set partition and signal tracking. The first part identified narrowband signals included in measurement set which originated from the result of frequency detection and direction finding, and estimated the basic characteristic parameters of each signal. According to the characteristics of conventional communication signals, the second one was able to perform sequential clustering on the characteristic parameters of all intercepted signals and delete interference signals. The simulation results show that the correct identification rate of the proposed partition method is better than 94％ and this method can accurately estimate the characteristic parameters of oath intercepted narrowband signal. The proposed sorting method is able to correctly sort conventional communication signals from interference surroundings.关键词
聚类分析/参数估计/信号跟踪/信号分选/序贯聚类分类
信息技术与安全科学引用本文复制引用
贾可新,蒋林鸿,何子述..基于聚类分析的常规通信信号自动分选方法[J].计算机应用研究,2011,28(2):661-664,691,5.
