Title :
MPSK Signal Modulation Recognition Based on Wavelet Transformation
Author :
Zhang, DaMin ; Wang, Xu
Author_Institution :
Sch. of Electron. Sci. & Inf. Technol., Guizhou Univ., Guiyang
Abstract :
There is rich information of phase in MPSK. Different wavelet coefficient peak collection probability density function and different maximum likelihood function of different MPSK can be obtained from its phase information. These parameters can be used to do modulation recognition for MPSK. In this paper, Morlet wavelet is used to extract the different probability density function and maximum likelihood function from three modulation signals which are BPSK, QPSK, 8PSK. The value of M is got by mode recognition. Simulation shows that the method is perfect for modulation recognition under the condition that SNR is low (greater than or equal to 4dB).
Keywords :
maximum likelihood estimation; quadrature phase shift keying; signal processing; wavelet transforms; 8PSK; BPSK; MPSK signal modulation recognition; QPSK; maximum likelihood function; wavelet transformation; Continuous wavelet transforms; Data mining; Decision theory; Digital modulation; Information technology; Maximum likelihood detection; Probability density function; Signal analysis; Wavelet coefficients; Wavelet transforms; Likelihood function; Modulation recognition; Probability density function; Wavelet transformation;
Conference_Titel :
Networking and Digital Society, 2009. ICNDS '09. International Conference on
Conference_Location :
Guiyang, Guizhou
Print_ISBN :
978-0-7695-3635-4
DOI :
10.1109/ICNDS.2009.56
