DocumentCode :
3190269
Title :
Factor graphs based iterative decoding of turbo codes
Author :
Zhu, Lianxiang ; Wang, Jifeng ; Yang, Shizhong
Author_Institution :
Chongqing Univ., China
Volume :
1
fYear :
2002
fDate :
29 June-1 July 2002
Firstpage :
46
Abstract :
Turbo codes and low-density parity-check (LDPC) codes both have their advantages and can achieve the Shannon limited performance. Combining the turbo codes encoding and LDPC decoding, a new scheme based on factor graphs and sum-product algorithm is developed in this paper. It can reduce the decoding complexity of turbo codes greatly, and also has some guides in the designing of interleaver and the choosing of recursive systematic convolutional (RSC) constituent codes.
Keywords :
convolutional codes; graph theory; iterative decoding; parity check codes; turbo codes; AWGN channel; LDPC codes; LDPC decoding; RSC codes; Shannon limited performance; decoding complexity reduction; factor graphs based iterative decoding; interleaver design; low-density parity-check codes; recursive systematic convolutional codes; sum-product algorithm; turbo codes; Block codes; Code standards; Convolutional codes; Digital video broadcasting; Iterative decoding; Parity check codes; Sparse matrices; Standardization; Sum product algorithm; Turbo codes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, Circuits and Systems and West Sino Expositions, IEEE 2002 International Conference on
Print_ISBN :
0-7803-7547-5
Type :
conf
DOI :
10.1109/ICCCAS.2002.1180569
Filename :
1180569
Link To Document :
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