Title :
A low-complexity decoding algorithm for concatenated tree codes
Author :
Daesung Kim;Jeongseok Ha
Author_Institution :
Department of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 305 - 701, Korea
Abstract :
This work considers a modified belief-propagation algorithm with two way scheduling for concatenated tree (CT) codes in which tree codes are employed as constituent codes. It will be shown that constituent tree codes can be efficiently decoded with the modified algorithm. Thus, by repeatedly using the modified BP algorithm for the constituent tree codes, CT codes can be decoded in an efficient way. Moreover, we show that the modified algorithm is especially suited for low complexity hardware implementation. Finally, a simple analysis technique for error-correcting performances of tree codes will be presented.
Keywords :
"Iterative decoding","Maximum likelihood decoding","Complexity theory","Algorithm design and analysis","Scheduling"
Conference_Titel :
Information and Communication Technology Convergence (ICTC), 2015 International Conference on
DOI :
10.1109/ICTC.2015.7354592