Bayesian decision feedback techniques for blind equalization

Author(s):  
Gen-Kwo Lee ◽  
S.B. Gelfand ◽  
M.P. Fitz
1995 ◽  
Vol 13 (1) ◽  
pp. 155-166 ◽  
Author(s):  
Gen-Kwo Lee ◽  
S.B. Gelfand ◽  
M.P. Fitz

1996 ◽  
Vol 5 (7) ◽  
pp. 1163-1178 ◽  
Author(s):  
S.R. Kadaba ◽  
S.B. Gelfand ◽  
R.L. Kashyap

2011 ◽  
Vol 328-330 ◽  
pp. 2097-2101
Author(s):  
Li Kun Xing ◽  
Long Wu ◽  
Ye Cai Guo

Against the shortcomings of slow convergence and large residual error in norm decision feedback blind equalization, double error function decision feedback blind equalization algorithm based on orthogonal wavelet transform momentum (WT-DMCMA-DFE)was proposed. In the algorithm, the four combinations of two error functions, respectively, to make adjustments on the former right and the feedback right, and add momentum algorithm to the former right and the feedback right to accelerate the convergence rate, escape correlation by using the orthogonal wavelet transform and normalize the energy to further improve performance of the convergence. Underwater acoustic channel simulation results show that convergence performance and mean square error of WT-MCMA-DFE, WT-H-HMCMA-DFE, WT-H-CMCMA-DFE is different.


1993 ◽  
Vol 29 (10) ◽  
pp. 891-893 ◽  
Author(s):  
S. Chen ◽  
S. McLaughlin ◽  
P.M. Grant ◽  
B. Mulgrew

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