Gaussian approximation for sum-product decoding of low-density parity-check codes

被引：14

作者：

Chung, SY ^{[1
]}

Urbanke, R ^{[1
]}

Richardson, TJ ^{[1
]}

机构：

[1] MIT, Informat & Decis Syst Lab, Cambridge, MA 02139 USA

来源：

2000 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY, PROCEEDINGS | 2000年

关键词：

D O I：

10.1109/ISIT.2000.866616

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

We use a Gaussian approximation (GA) for analyzing the sum-product algorithm for low-density parity-check (LDPC) codes and memoryless binary-input continuous-output additive white Gaussian noise (AWGN) channels. This simplification allows us to calculate the threshold quickly and to understand the behavior of the decoder better. We have also designed high rate LDPC codes using the GA. that have thresholds less than 0.05 dB from the Shannon limit.

引用

页码：318 / 318

页数：1