Novel detection method for multi-component LFM signals

Multi-components Linear Frequency-Modulated (LFM) signal of emitter recognition is everywhere in signal environments in practice, it is important to recognize it for electronic intelligence. To effectively detect and recognize multi-component LFM emitter signals, a new emitter signal analysis method based on the complex Independent Component Analysis(ICA), second-order time moments and Wigner-Hough transform(WHT) (ISW) was proposed. The idea which was adopted to this method was the time-domain separation, the LFM signal and noise discrimination and time-frequency analysis. In the low SNR cases, the problem which is generally plagued by noised of feature extraction of multi-component LFM signal based on Wigner-Hough transform is overcome. Compared to the traditional method of time-frequency analysis, the computer simulation results show that the proposed method for the multi-component LFM signal separation and feature extraction was better.