Title :
A Novel Classification Method for 2FSK and Bi-Signal
Author :
Pengwu Tian ; Jia Yuan ; Hongyi Yu
Author_Institution :
Dept. of Commun. Eng., PLA I. E. Univ., Zhengzhou
Abstract :
A novel classification method for 2FSK and bi-signal is proposed in this paper. The bi-signal is two signals which appear at the same time. In words, they are mixed on time domain. The spectrum of both 2FSK and bi-signal has two peaks. So it is difficult to classify whether the two spectrum peaks is from 2FSK or bi-signal. Using short time Fourier transform, we devise a method that can recognize 2FSK and bi-signal. The simulation results demonstrate that the correct recognition rate of the proposed method can achieve 95% at 5 dB.
Keywords :
Fourier transforms; frequency shift keying; signal classification; time-domain analysis; 2FSK signal classification; bi-signal classification; frequency shift keying; short time Fourier transform; time domain; Cities and towns; Fourier transforms; Frequency domain analysis; Interference; Pattern recognition; Programmable logic arrays; Radio spectrum management; Reactive power; Sorting; Surveillance;
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-2107-7
Electronic_ISBN :
978-1-4244-2108-4
DOI :
10.1109/WiCom.2008.450
