Performance Analysis of Fractional Lower Order Constant Modulus Algorithm

2009 ◽  
Author(s):  
Sen Li ◽  
Tian Shuang Qiu
Keyword(s):  
Performance Analysis ◽  
Lower Order ◽  
Constant Modulus ◽  
Constant Modulus Algorithm

Wavelet Frequency Domain Constant Modulus Blind Equalization Algorithm Based on Fractional Lower Order Statistics

2012 ◽  
Vol 198-199 ◽  
pp. 1497-1500
Author(s):  
Jun Guo ◽  
Ye Cai Guo ◽  
Qu Chen ◽  
Yi Bo Zhao
Keyword(s):  
Frequency Domain ◽  
Order Statistics ◽  
Lower Order ◽  
Blind Equalization ◽  
Constant Modulus ◽  
Constant Modulus Algorithm ◽  
Equalization Algorithm ◽  
Domain Constant ◽  
Fractional Lower Order Statistics ◽  
Orthogonal Wavelet Transform

In order to improve the performance of constant modulus algorithm(CMA) in the noise which obeys α-stable distribution, wavelet frequency domain constant modulus blind equalization algorithm based on fractional lower order statistics(WT-FLOSFCMA) is proposed. This proposed algorithm uses fractional lower order statistics to restrain α-stable noise, and its computational loads can be greatly reduced by using FFT technique and the overlapping retention law. In the proposed algorithm, according to the minimum dispersion coefficient criterion, the CMA is optimized, orthogonal wavelet transform is used to improve the convergence rate. The computer simulations in underwater acoustic channels show that the proposed algorithm outperforms than CMA, orthogonal wavelet transform constant modulus algorithm(WT-CMA),and frequency domain blind equalization algorithm based on fractional lower order statistics(FLOSFCMA) in suppressing with inter-symbol interfere, improving convergence rate, and reducing mean square error.

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