Title :
STLFMCW signal detection based on cyclic fractional Fourier transform method
Author :
Yong Liu ; Aiqiang Xu ; Xin Zhang
Author_Institution :
Training Brigade of Equip. Acceptance & Modification, Naval Aeronaut. & Astronaut. Univ., Yantai, China
Abstract :
This paper studies the linear frequency modulated continuous wave (LFMCW) signal distribution in fractional Fourier transform (FRFT) and Cyclic FRFT domain (CFRFD). A cyclic fractional Fourier transform processing method (CFRFT) is proposed, which can accumulate the signal energy in CFRFD. The simulation results show capability and effectiveness of CFRFT in detecting a kind of typical LFMCW signal- symmetrical triangle linear frequency modulation continuous wave (STLFMCW) signal in low SNR conditions.
Keywords :
Fourier transforms; frequency modulation; signal detection; CFRFD; CFRFT; LFMCW signal distribution; SNR condition; STLFMCW signal detection; cyclic FRFT domain; cyclic fractional Fourier transform method; cyclic fractional Fourier transform processing method; linear frequency modulated continuous wave signal distribution; signal energy; symmetrical triangle linear frequency modulation continuous wave signal; Feature extraction; Signal to noise ratio; Transforms; Linear frequency modulation continuous wave; cyclic fractional Fourier transform; signal feature detection;
Conference_Titel :
Electronics, Computer and Applications, 2014 IEEE Workshop on
Conference_Location :
Ottawa, ON
DOI :
10.1109/IWECA.2014.6845578
