摘要
根据对防空情报雷达飞机目标回波幅度、相位的理解与分析,提出了基于回波幅相分解的JEM特征提取方法,分别对相位分量运用AR谱估计法和幅度分量运用小波变换法提取JEM特征.实测数据分析表明:运用该方法从回波信号中提取的JEM特征比较稳定,经综合可将特征值估计误差减小,特征综合值比较精确,可用于产生JEM特征的飞机目标的自动识别.
Based on comprehending and analyzing the amplitude and phase of aircraft returns from the routine air-defense radar, a method of extracting JEM signature based on decomposing the returns into amplitude and phase was proposed, namely to extract the JEM signature singly by both AR spectrum estimation for phase and wavelet transform for amplitude. The analysis of factual sampling data shows that the extracted JEM signature is steady, and by signatures synthesis the value of signature estimation is precise and its error is reduced. The method can be used to recognize the aircraft targets that produce JEM signature.
出处
《空军雷达学院学报》
2006年第1期21-24,共4页
Journal of Air Force Radar Academy
基金
总装备部重点科研项目(KJ04100)
关键词
JEM特征
幅相分解
AR谱估计
小波变换
特征提取
jet engine modulation （JEM） signature
amplitude and phase decomposition
AR spectrum estimation
wavelet transform
signature extraction
