舰船电子工程2018，Vol.38Issue(6)：41-45,5.DOI:10.3969/j.issn.1672-9730.2018.06.011
基于独立分量分析下的跳频网台分选
Based on Independent Component Analysis of the Frequency-hopping Station Sorting
摘要
Abstract
Complex electromagnetic environment conditions,according to the present more frequency hopping signal feature parameter identification algorithm of network station sorting high timeliness is not strong and the complexity of algorithm,this paper proposes a frequency hopping based on FastICA net station sorting method. Firstly,based on independent component analysis,the algorithm model of parameter identification is established. Then,using the fixed point algorithm,the negative entropy is the maxi?mum target function,and the blind source separation of the mixed frequency hopping signal is completed. The simulation results show that,under the condition of-3db's SNR,the separation speed is increased by 45% and the separation accuracy is over 95%.关键词
跳频/最大负熵/固定点算法/独立分量分析/网台分选Key words
frequency-hopping/maximum negative entropy/fixed point algorithm/independent component analysis/net-station sorting分类
信息技术与安全科学引用本文复制引用
杨芸丞,孙雪丽,朱念斌..基于独立分量分析下的跳频网台分选[J].舰船电子工程,2018,38(6):41-45,5.基金项目
国家自然科学基金项目(编号:61179016) （编号:61179016）
泰山学者工程专项基金项目(编号:ts201511020) （编号:ts201511020）
国家自然科学基金重大研究计划(编号:91538201)资助. （编号:91538201）
