DocumentCode
3293980
Title
Importance sampling for LDPC codes based on optimal simulation probability density function
Author
Sakai, Takakazu ; Shibata, Koji
Author_Institution
Dept. of Comput. Sci., Kitami Inst. of Technol., Kitami, Japan
fYear
2010
fDate
17-20 Oct. 2010
Firstpage
389
Lastpage
393
Abstract
This paper shows a fast simulation method of low-density parity-check (LDPC) codes by using importance sampling (IS). In IS, the design of the simulation probability density function (PDF) plays a very important role to reduce the simulation time. We derive the optimal simulation PDF, which can reduce the variance of the estimator to zero. Since the optimal simulation PDF includes true error probability, it can not be utilized in the practical simulation. The simulation PDF which approximates the optimal simulation PDF is proposed. In addition, we show some numerical examples to show the effectiveness of the proposed simulation method.
Keywords
error statistics; importance sampling; parity check codes; LDPC code; error probability; importance sampling; low density parity check code; optimal simulation probability density function; Bit error rate; Charge carrier processes; Error probability; Monte Carlo methods; Numerical models; Parity check codes; Probability density function;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory and its Applications (ISITA), 2010 International Symposium on
Conference_Location
Taichung
Print_ISBN
978-1-4244-6016-8
Electronic_ISBN
978-1-4244-6017-5
Type
conf
DOI
10.1109/ISITA.2010.5649219
Filename
5649219
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