DocumentCode :
3022060
Title :
Single channel source separation of LFM and SFM mixed signal using fractional Fourier transform and zero phase filtering
Author :
Hang Zhu ; Shu-ning Zhang
Author_Institution :
Sch. of Electron. & Opt. Eng., NUST, Nanjing, China
fYear :
2013
fDate :
20-22 Dec. 2013
Firstpage :
908
Lastpage :
912
Abstract :
To separate the mixture of two radar fuze signals - the linear frequency modulation (LFM) and sinusoidal frequency modulation (SFM) signals overlapped both in time and frequency domain in single channel, the method of zero phase filtering in fractional Fourier domain is proposed. The fractional Fourier transform (FRFT) of mixed signal is derived and it can be found that separation in the improved time-frequency distribution would be more effective, and then zero phase filtering is introduced to separate mixture which keeps the initial phase information. At last, by calculating the waveform similarity coefficient, the initial phase difference value and average amplitude difference value in the simulation, it is found that the proposed method is effective.
Keywords :
Fourier transforms; frequency modulation; frequency-domain analysis; source separation; time-domain analysis; LFM; SFM; fractional Fourier domain; fractional Fourier transform; frequency domain; linear frequency modulation; mixed signal; phase difference value; phase information; radar fuze signals; single channel source separation; sinusoidal frequency modulation; time domain; time-frequency distribution; waveform similarity coefficient; zero phase filtering; Computers; Mechatronics; Initial phase information; fractional Fourier transform; signal channel source separation; zero phase filtering;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronic Sciences, Electric Engineering and Computer (MEC), Proceedings 2013 International Conference on
Conference_Location :
Shengyang
Print_ISBN :
978-1-4799-2564-3
Type :
conf
DOI :
10.1109/MEC.2013.6885189
Filename :
6885189
Link To Document :
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