.png){kind=icon}
返回
Efficient Window-Based Stopping Technique for Double-Binary Turbo Decoding
.png){kind=icon}
PRE
AI
DOI：10.1109/LCOMM.2012.112812.121205.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In order to reduce the number of computations for convergent values, a window-based stopping criterion is proposed for double-binary convolutional turbo decoding. The proposed technique can detect and tag convergent windows by detecting the a posteriori values of each window with a threshold. Thus, the number of computations for convergent windows can be reduced in further iterations. Additionally, the proposed algorithm employs the hard bits to provide approximate values for extrinsic value exchanging. From simulation results obtained using the WiMAX convolutional turbo code, we found that the proposed stopping technique can reduce around 47% of the convergent windows at E-b/N-0 of 1.4 dB with a small coding gain loss.
Keyword:
Turbo code
stopping criterion
WiMAX
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
4.4
论文数:
1.3W
被引数:
2.2W
机构
引用论文
Iterative decoding of concatenated convolutional codes: implementation issues.png)
PROCEEDINGS OF THE IEEE
OAAI
PROCEEDINGS OF THE IEEEIF25.9
OAAI分享收藏分享收藏
没有更多内容
没有更多内容