Double-binary RSC convolutional codes selection based on convergence of iterative turbo-decoding process

Author(s):  
Horia Balta ◽  
Alexandru Isar ◽  
Maria Kovaci ◽  
Miranda Nafornita ◽  
Maria Balta
2009 ◽  
Vol 57 (2) ◽  
pp. 315-318 ◽  
Author(s):  
Richard Souza ◽  
Marcelo Pellenz ◽  
Tamara Rodrigues

2005 ◽  
Vol 3 ◽  
pp. 259-263
Author(s):  
M. Siegrist ◽  
T. Schorr ◽  
A. Dittrich ◽  
W. Sauer-Greff ◽  
R. Urbansky

Abstract. Turbo equalization is a widely known method to cope with low signal to noise ratio (SNR) channels corrupted by linear intersymbol interference (ISI) (Berrou and Galvieux, 1993; Hagenauer et al., 1997). Recently in this workshop it was reported that also for nonlinear channels a remarkable turbo decoding gain can be achieved (Siegrist et al., 2001). However, the classical turbo equalization relies on code rates at 1/3 up to 1/2 which makes it quite unattractive for high rate data transmission. Considering the potential of iterative equalization and decoding, we obtain a considerable turbo decoding gain also for high rate codes of less than 7% redundancy by using punctured convolutional codes and block codes.


1989 ◽  
Vol 136 (5) ◽  
pp. 405 ◽  
Author(s):  
J. Sun ◽  
I.S. Reed ◽  
H.E. Huey ◽  
T.K. Truong

2013 ◽  
Vol 32 (8) ◽  
pp. 2113-2115
Author(s):  
Zheng LI ◽  
Chun-lin SONG ◽  
Yun-jie ZHAO ◽  
Zhu-jia WU

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