摘要
雷达信号包络特征是辐射源最主要的脉内无意识调制特征，可应用于进行个体识别。脉冲包络提取是进行包络特征分析的关键环节，常见的希尔伯特变化法及直接小波变换等包络提取技术很难应用于雷达脉冲信号。为此，文章基于极大值包络提取和小波去噪理论，提出了一种新的雷达脉冲信号包络的提取方法，通过仿真实验，该方法能较好地提取信号包络，对于雷达信号包络特征提取及个体识别有一定应用价值。
The radar signal envelop feature is one of the key unconscious feature, it can be used in identification of individual signal of radar emitter. The extraction of the radar signal envelop is the key step, but either Hilbert transform or wavelet transform can＇ t do well. The paper gives a new algorithm for extracting the signal envelop based on modulus maximum and wavelet transform denoise. The results of experiment show that this approach can extract the envelope information accurately.
出处
《电子对抗》
2015年第5期11-14,26,共5页
Electronic Warfare
关键词
雷达信号
包络提取
极大值包络
symlets小波变换
radar signal
extraction of the radar signal envelop
modulus maximum of the envelop
symlets wavelet transform
