中文摘要：

提出了一种盲分离联合时频谱分析的多分量线性调频信号检测方法，该方法采用先时域分离后时频分析的思想，有效抑制了传统的基于WVD类方法检测多分量线性调频信号时受交叉项困扰的问题，并且有效抑制了强噪声干扰源对传统的时频分析检测方法的影响．仿真结果表明，提出的方法与传统时频分析方法相比，对多分量线性调频信号的分离及特征提取效果更好．

英文摘要：

Based on the combination of blind source separation （BSS） and time-frequency spectrum analysis, a multi-component linear frequency modulation （LFM） signal detection method is proposed, and by adopting the concept of time-domain separation and time-frequency analysis, the method effectively suppresses the cross-term interference problem based on WVD detection method and prominently reduces the impacts of strong noise interference source on the traditional time-frequency analysis and detection method. The computer simu- lation results demonstrate that the proposed method for the multi-component LFM signal separation and feature extraction exceeds the traditional method of time-frequency analysis.