Title :
Classification of MPSK signals using M-bands wavelet and high-order cumulants
Author_Institution :
Dept. of Math., Linyi Normal Univ., Linyi, China
Abstract :
A new algorithm based on wavelet transform and high order cumulants is proposed for classification of MPSK signals. Compared with other existing algorithms, the proposed algorithm reduces the effect of additive Gaussian noise and multiplicative noise, therefore be of more generality. Theoretical analysis and computer simulation justify the effectiveness of our approach.
Keywords :
AWGN; phase shift keying; signal classification; wavelet transforms; MPSK signal classification; additive Gaussian noise; computer simulation; high-order cumulants; m-bands wavelet cumulants; multiplicative noise; wavelet transform; Additives; Algorithm design and analysis; Classification algorithms; Modulation; Noise; Signal processing algorithms; Wavelet transforms; MPSK signals; Wavelet transform; high order cumulants; modulation classification;
Conference_Titel :
Signal Processing Systems (ICSPS), 2010 2nd International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-6892-8
Electronic_ISBN :
978-1-4244-6893-5
DOI :
10.1109/ICSPS.2010.5555518
