摘要
提出一种基于结构函数和经验模态分解的雷达全脉冲信号特征提取方法.该方法将载波频率和到达时间构成二维特征信息,并且首次引入结构函数和经验模态分解对雷达全脉冲序列的特征进行分析.实验结果表明,该方法能够有效地提取出复杂脉冲环境中载频周期滑变信号的滑变频率,从而为多信号交叠的雷达脉冲序列的信号分选找到一个新的特征.
Modern electronic warfare faces complex and dense pulses environments, which brings a severe challenge to radar signal sorting. In this paper, a new feature extraction method for radar pulse sequences is presented based on structure function and empirical mode. The 2-dimension feature information consists of radio frequency and time-of-arrival in this method, which analyzes the feature of radar pulse sequences for the very first time by employing structure function and empirical mode decomposition. The experiment result shows that the method can efficiently extract the frequency of the period-c pulses environment and reveals a new feature for the signal sorting paper provides a new way for extracting the new sorting feature of hange radio frequency signal in the complex of interleaved radar pulse sequences. This radar signals.
出处
《哈尔滨工业大学学报》
EI
CAS
CSCD
北大核心
2006年第1期130-133,共4页
Journal of Harbin Institute of Technology
基金
国家电子对抗国防科技重点实验室基金资助项目(NEWL51435QT220401)
关键词
信号分选
结构函数
经验模态分解
特征提取
signal sorting
structure function
empirical mode decomposition
feature extraction
