DocumentCode :
3247705
Title :
Large-girth LDPC codes based on graphical models
Author :
Zhang, Huotian ; Moura, Jose M E
Author_Institution :
Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA
fYear :
2003
fDate :
15-18 June 2003
Firstpage :
100
Lastpage :
104
Abstract :
In this paper we construct two classes of LDPC codes with girth 16 and 20, respectively, based on graphical models. These codes are well-structured, regular, and with column weight j = 2, which greatly simplifies their implementation. The codes with girth g = 16 have code rate r = 1/2. And the codes with girth g = 20 have code rate r = 1/3. Simulation results compare their bit-error-rate (BER) decoding performance in AWGN channels with randomly constructed LDPC codes.
Keywords :
AWGN channels; decoding; error correction codes; error statistics; graph theory; parity check codes; AWGN channels; BER; bit-error-rate; decoding performance; graphical models; large-girth LDPC codes; well-structured regular codes; AWGN channels; Additive white noise; Bit error rate; Computational complexity; Degradation; Equations; Graphical models; Iterative decoding; Parity check codes; Sum product algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Advances in Wireless Communications, 2003. SPAWC 2003. 4th IEEE Workshop on
Print_ISBN :
0-7803-7858-X
Type :
conf
DOI :
10.1109/SPAWC.2003.1318930
Filename :
1318930
Link To Document :
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