雷达科学与技术2011，Vol.9Issue(3)：247-252,258,7.
基于DAGSVM的雷达辐射源信号分选与识别
Sorting and Recognition of Radar Emitter Signal Based on DAGSVM
邱超凡 1李浩2
作者信息
- 1. 解放军炮兵学院火控教研室，安徽合肥230031
- 2. 解放军炮兵学院五系42队，安徽合肥230031
- 折叠
摘要
Abstract
The support vector machine possesses the ability to solve problems such as small sample, non-linear I and the directed acyclic graphs algorithm has the advantage of high classification accuracy. Because the sorting and recognition accuracy of the common method is not high and is sensitive to the varied parameters, a novel sorting and recognition algorithm fort the radar emitter is proposed based on DAGSVM. The principle and features of support vector machine are firstly overviewed in the article. Then, the design of multiple classifiers has been completed, and the directed acyclic graphs algorithm is introduced. The sorting and recognition of radar emitter signal based on DAGSVM is put forward. The article analyses the influence of classifier on the results of sorting and recognition through simulation experiment. Experiment results show that the method based on DAGSVM is feasible. The method has strong generalization ability and can improve the accuracy of signal sorting and recognition.关键词
支持向量机；雷达辐射源；分选与识别；分类器；有向无环图Key words
support vector machine/ radar emitter/ sorting and recognition/ classifier/ directed acyclic graphs分类
信息技术与安全科学引用本文复制引用
邱超凡,李浩..基于DAGSVM的雷达辐射源信号分选与识别[J].雷达科学与技术,2011,9(3):247-252,258,7.
