Classification of MPSK signals using M-bands wavelet and High-order cumulants
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. Tbeoretical analysis and computer simulation justify the effectiveness of our approach.
Wavelet transform high order cumulants MPSK signals modulation classification
Yuan Hong
Department of Mathematics, College of Sciences, Linyi Normal University, Linyi 276005, China
国际会议
2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)
大连
英文
66-69
2010-07-05(万方平台首次上网日期,不代表论文的发表时间)