A New Method of Detecting Multi-component LFM Signals Based on Blind Signal Processing

• DOI: 10.4304/jcp.6.9.1976-1982
• Publication Date: 2011-08-11T18:26:56Z
• Authors: Qiang Guo; Yajun Li; Changhong Wang
• Keywords: SIGNAL (programming language); Component (thermodynamics); Feature (linguistics); Component analysis

To effectively detect and recognize multicomponent Linear Frequency-Modulated(LFM) emitter signals, a multi-component LFM signal analysis method based on the complex Independent Component Analysis (ICA) which was combined with Fractional Fourier Transform(FRFT) proposed. The idea adopted to this time-domain separation then time-frequency analysis, in low SNR cases.the problem is generally plagued by noised feature extraction of FRFT overcame. Compared traditional analysis,the computer simulation results show that proposed for signals separtion better.