DocumentCode
1489725
Title
On the design of LDPC code ensembles for BIAWGN channels
Author
Saeedi, Hamid ; Banihashemi, Amir H.
Author_Institution
Dept. of Syst. & Comput. Eng., Carleton Univ., Ottawa, ON, Canada
Volume
58
Issue
5
fYear
2010
fDate
5/1/2010 12:00:00 AM
Firstpage
1376
Lastpage
1382
Abstract
Existing design methods for irregular Low-Density Parity-Check (LDPC) codes over the additive white Gaussian noise channel are based on using asymptotic analysis tools such as density evolution in an optimization process. Such a process is computationally expensive particularly when a large number of constituent variable node degrees are involved in the design. In this paper, we propose a systematic approach for the design of irregular LDPC codes. The proposed method, which is based on a pre-computed upper bound on the fraction of edges connected to variable nodes of degree 3, is considerably less complex than the conventional optimization approach. Through a number of examples, we demonstrate that using our method, ensembles with performance very close to those devised based on optimization, can be designed. In addition to having very good performance, the number of constituent variable node degrees in the designed ensembles is only three or four. This, in some cases, is much smaller than the corresponding number for optimization-based designs with similar performance.
Keywords
AWGN channels; optimisation; parity check codes; BIAWGN channels; additive white Gaussian noise channel; irregular LDPC code; low density parity check codes; optimization process; AWGN channels; Additive white noise; Design methodology; Design optimization; Iterative algorithms; Iterative decoding; Optimization methods; Parity check codes; Stability; Upper bound; Low-density parity-check codes, LDPC codes, irregular LDPC codes, AWGN channel, code design, systematic design, stability condition;
fLanguage
English
Journal_Title
Communications, IEEE Transactions on
Publisher
ieee
ISSN
0090-6778
Type
jour
DOI
10.1109/TCOMM.2010.05.080299
Filename
5464237
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