Title :
Near optimum universal belief propagation based decoding of LDPC codes and extension to turbo decoding
Author :
Chen, Jinghu ; Fossorier, Marc P C
Author_Institution :
Dept. of Electr. Eng., Hawaii Univ., Honolulu, HI, USA
Abstract :
In this paper, we propose a normalized belief propagation-based algorithm which utilizes normalization to improve the accuracy of the soft values delivered by a previously proposed simplified belief propagation-based algorithm, and can achieve an error performance very close to that of belief propagation. We also extend the principle of normalization to improve the performance of the Max-Log-MAP algorithm in turbo decoding
Keywords :
belief networks; error correction codes; iterative decoding; turbo codes; LDPC codes; Max-Log-MAP algorithm; belief propagation-based algorithm; error performance; low density parity check codes; normalization principle; optimum universal belief propagation based decoding; turbo decoding; Belief propagation; Computational modeling; Error correction codes; Hardware; Iterative algorithms; Iterative decoding; Logic; Parity check codes; Probability; Sparse matrices;
Conference_Titel :
Information Theory, 2001. Proceedings. 2001 IEEE International Symposium on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-7123-2
DOI :
10.1109/ISIT.2001.936052
