A Class of Turbo-Like LDPC Codes and Their Decoding Based on Neural Network
Zijian Zhao, Xiaojuan Wu, Jun Yang · 2006
Turbo codes and LDPC codes are both superior to other error correcting codes. These two families of codes have some similarities. It seems a good idea to design new codes combining these two codes. Through the analysis of turbo codes, we can consider turbo codes as block codes and find their matrix H. In this paper, we give a new class of turbo-like LDPC codes combining the advantages of turbo and LDPC codes and a decoding method based on neural network. A lot of simulations have been made and the results reveal that these codes have robuster performance than turbo codes.