舰船电子工程2018，Vol.38Issue(6)：58-61,75,5.DOI:10.3969/j.issn.1672-9730.2018.06.015
基于常规参数和脉内特征参数的雷达信号分选
Radar Signal Sorting Based on Conventional and Intravenous Characteristic Parameters
陈恒 1张友益 2王玉梅1
作者信息
- 1. 江苏科技大学 镇江 212001
- 2. 中船重工集团七二三研究所 扬州 225001
- 折叠
摘要
Abstract
The conventional three-parameter sorting method can not meet the actual needs when the conventional five parame?ters of radar are overlapped or very similar. Based on the three parameters,the in-pulse feature parameter Wpt6(wavelet packet fea?ture is added). In order to solve the problem that the network size needs to be set in advance for the self-organizing feature map neu?ral network(SOFM),a self-adjusting SOFM network is proposed. The parameters are sorted,and the simulation results show that the added pulse characteristic parameters improve the accuracy of radar signal sorting.关键词
小波包特征/SOFM网络/信号分选Key words
wavelet packet feature/SOFM network/signal sorting分类
信息技术与安全科学引用本文复制引用
陈恒,张友益,王玉梅..基于常规参数和脉内特征参数的雷达信号分选[J].舰船电子工程,2018,38(6):58-61,75,5.
