@inproceedings{8b41bae033ea432686f93960eee88b0e,
title = "A new kind of FRFT analysis method for multi-component LFM signals",
abstract = "To effectively detect and recognize multi-component Linear Frequency-Modulated (LFM) emitter signals, a multi-component LFM emitter signal analysis method based on the complex Independent Component Analysis(ICA) which was combined with the Fractional Fourier Transform(FRFT) was proposed. The idea which was adopted to this method was the time-domain separation and then time-frequency analysis, and in the low SNR cases, the problem which is generally plagued by noised of feature extraction of multi-component LFM signal based on FRFT is overcame. 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.",
keywords = "Feature extraction, ICA, Multi-component LFM emitter signals, Time-frequency analysis",
author = "Qiang Guo and Li, \{Ya Jun\} and Wang, \{Chang Hong\}",
year = "2011",
doi = "10.4028/www.scientific.net/AMR.204-210.973",
language = "英语",
isbn = "9783037850275",
series = "Advanced Materials Research",
pages = "973--978",
booktitle = "Advanced Research on Industry, Information System and Material Engineering",
note = "2011 International Conference on Industry, Information System and Material Engineering, IISME2011 ; Conference date: 16-04-2011 Through 17-04-2011",
}