Title :
Feature extraction of orbital shift frequency signal based on time-frequency analysis
Author :
Shenghua, Dai ; Peng, Yan
Author_Institution :
Sch. of Electron. & Inf. Eng., Beijing Jiaotong Univ., Beijing, China
Abstract :
Traditional signal analysing is difficult to meet the detection demands of Orbital shift frequency signals effectively. This paper proposes a new scheme on the basis of time-frequency analysis to detect the frequency-shift signals. After analyzing the acquirement and spectrum of the orbital signals, the spectrum refining algorithm based on under-rate sampling and ZFFT is put forward to improve the accuracy of low frequency. And then, the wavelet ridge line technique is used to calculate the upper and down side frequencies to achieve the signals´ feature extraction.
Keywords :
fast Fourier transforms; feature extraction; signal detection; signal sampling; spectral analysis; time-frequency analysis; wavelet transforms; ZFFT; detection demands; down side frequency; feature extraction; frequency-shift signals; orbital shift frequency signals; orbital signals; signal analysing; spectrum refining algorithm; time-frequency analysis; under-rate sampling; upper side frequency; wavelet ridge line technique; Feature extraction; Frequency shift keying; Time frequency analysis; Wavelet analysis; Wavelet transforms; ZFFT; frequency-shift signal; under-sampling; wavelet analysis; wavelet ridge line;
Conference_Titel :
Business Management and Electronic Information (BMEI), 2011 International Conference on
Print_ISBN :
978-1-61284-108-3
DOI :
10.1109/ICBMEI.2011.5920922