摘要
为识别复杂体制雷达辐射源信号,提出了一种基于小波脊频级联特征提取的信号识别方法.该方法采用新的小波原子和脊线检测策略提取信号的脊频特征,并提取其级联特征作为信号识别向量.仿真结果表明,采用级联特征能有效地识别辐射源信号,当信噪比为5 dB时,识别率达95%以上.与传统小波和现有方法相比,所提出的方法具有更好的信号识别效果.
In order to identify the advanced radar emitter signals（RES）,an automatic recognition approach of signals was proposed.This approach is based on the cascade-feature of the wavelet ridge-frequency（WRF）.The new wavelet atom and the detection strategy are used to extract the WRF feature of the RES,and the wavelet ridge-frequency cascade-feature（WRFCCF） is extracted to identify the RES.Simulation results show that the proposed approach can achieve a correct rate of above 95% even when the SNR（signal-to-noise ratio） is as low as 5 dB.Compared with the traditional wavelet and the existing approaches,the proposed approach has a fine recognition effect.
出处
《西南交通大学学报》
EI
CSCD
北大核心
2010年第2期290-295,共6页
Journal of Southwest Jiaotong University
基金
国家自然科学基金资助项目(60572143
60702026)
关键词
小波脊
瞬时频率
辐射源信号识别
小波原子
wavelet ridge
instantaneous frequency
emitter signal recognition
wavelet atom
