太赫兹科学与电子信息学报2018，Vol.16Issue(1)：81-86,6.DOI:10.11805/TKYDA201801.0081
基于多维特征的雷达信号脉内调制识别技术
Intra-pulse modulation recognition of radar signal based on multi-dimensional features
徐伟 1余建宇 2陈矛1
作者信息
- 1. 西安电子工程研究所,陕西 西安 710100
- 2. 国防科技大学 电子科学与工程学院,湖南 长沙 410073
- 折叠
摘要
Abstract
In order to obtain the ability of identifying radar signals robustly and precisely in the complicated signal circumstance, radar signals are represented by using radar feature vectors consisting of the time frequency image feature, complexity feature and instantaneous quantity feature. The feature vectors are input into a combinational classifier whose main classifier is Support Vector Machine(SVM), and the signal parameters are estimated. Simulation result shows that the method has good performance, even in the rapid changing signal circumstance of low Signal to Noise Ratio(SNR).关键词
调制识别/特征提取/分类器设计/时频图像特征/复杂度特征/瞬时量特征Key words
modulation classification/feature extraction/classifier design/time frequency image feature/complexity feature/instantaneous quantity feature分类
信息技术与安全科学引用本文复制引用
徐伟,余建宇,陈矛..基于多维特征的雷达信号脉内调制识别技术[J].太赫兹科学与电子信息学报,2018,16(1):81-86,6.
