A Low Density Matrix Coding and Decoding Method Based on PPM Modulation

您当前的位置：

首页 >

文章列表页 >

更新时间：2025-07-16

- A Low Density Matrix Coding and Decoding Method Based on PPM Modulation
- Acta Electronica Sinica Vol. 40, Issue 10, Pages: 1976-1979(2012)
- 作者机构：
  
  北京理工大学光电学院,北京,100081
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China (No.60978007, No.61027007, No.61177067);Open Fund of the State Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications
- DOI：10.3969/j.issn.0372-2112.2012.10.012
  CLC： TP302.7
- Published：2012
- 稿件说明：
移动端阅览
WU Yong-sheng, YANG Ai-ying, SUN Yu-nan. A Low Density Matrix Coding and Decoding Method Based on PPM Modulation[J]. Acta Electronica Sinica, 2012, 40(10): 1976-1979.
DOI：

WU Yong-sheng, YANG Ai-ying, SUN Yu-nan. A Low Density Matrix Coding and Decoding Method Based on PPM Modulation[J]. Acta Electronica Sinica, 2012, 40(10): 1976-1979. DOI： 10.3969/j.issn.0372-2112.2012.10.012.

针对PPM调制信号的脉冲数具有稀疏性的特点

本文提出了一种利用低密度矩阵编码的方法

并根据最大后验概率准则进行译码.仿真结果表明

不管采用硬判决还是软判决

提出的编码方法都具有比规则LDPC码更好的纠错能力和更快的译码速度.

According to the sparse characteristic of the PPM modulated signal

this paper proposes a coding method making use of a low density matrix

and decoding with maximum a posteriori probability rule.Compared with the regular LDPC

the proposed method has better error correction ability and decoding speed when using hard or soft decisions.

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

A Probability Model for Adaptive Image Denoising

Related Author

YI Xiang

WANG Wei-ran

Related Institution

College of Electronic Engineering,University of Electronic Science and Technology of China

⁰