On the performance analysis of short LDPC codes

被引：0

作者：

Medova, Luiza R. ^{[1
]}

Rybin, Pavel S. ^{[1
]}

Filatov, Ivan, V ^{[2
]}

机构：

[1] Russian Acad Sci, Inst Informat Transmiss Problems, Moscow Inst Phys & Technol, Moscow, Russia

[2] Moscow Inst Phys & Technol, Moscow, Russia

来源：

2019 XVI INTERNATIONAL SYMPOSIUM PROBLEMS OF REDUNDANCY IN INFORMATION AND CONTROL SYSTEMS (REDUNDANCY) | 2019年

关键词：

Low-density parity check codes(LDPC); Tanner graph; Laplacian matrix; graph centrality; graph centralization; eigenvalues; polynomial regression; CENTRALITY;

D O I：

10.1109/redundancy48165.2019.9003310

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents the research on LDPC codes performance depending on several Tanner graph properties. We have simulated 2250 (128,256) different LDPC codes in FPGA and explored their waterfall region as a function of the graph characteristics. These characteristics are different graph centralization measures and the second smallest Laplacian eigenvalue. We have received numerical values that distinguish LDPC codes with a good decoding threshold (less or equal 3.5 dB) from others. In addition, we developed a polynomial regression model that accurately predicts the LDPC decoding threshold with a coefficient of determination equal to 0.87 and RMSE equal 0.16 dB.

引用

页码：18 / 22

页数：5

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