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
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