检索结果-内蒙古大学图书馆

Trellis-Based QC-ldpc convolutional Codes Enabling Low Power Decoders

IEEE TRANSACTIONS ON COMMUNICATIONS 2015年第6期63卷 1939-1951页

作者： Pisek, Eran Rajan, Dinesh Cleveland, Joseph R. So Methodist Univ Dept Elect Engn Dallas TX 75275 USA

In this paper, we propose a new type of code called Trellis-based Quasi-Cyclic (TQC)-ldpc convolutional code, which is a special case of protograph-based ldpc convolutional codes. The proposed TQC-ldpc convolutional code can be derived from any QC-ldpc block code by introducing trellis-based convolutional dependency to the code. The main advantage of the proposed TQC-ldpc convolutional code is that it allows reduced decoder complexity and input granularity (which is defined as the minimum number of input information bits the code requires to generate a codeword) while maintaining the same bit error-rate as the underlying QC-ldpc block code ensemble. We also propose two related power-efficient encoding methods to increase the code rate of the derived TQC-ldpc convolutional code. The newly derived short constraint length TQC-ldpc convolutional codes enable low complexity trellis-based decoders and one such decoder is proposed and described in this paper (namely, QC-Viterbi). The TQC-ldpc convolutional codes and the QC-Viterbi decoder are compared to conventional ldpc codes and Belief Propagation (BP) iterative decoders with respect to bit-error-rate (BER), signal-to-noise ratio (SNR), and decoder complexity. We show both numerically and through hardware implementation results that the proposed QC-Viterbi decoder outperforms the BP iterative decoders by at least 1 dB for same complexity and BER. Alternatively, the proposed QC-Viterbi decoder has 3 times lower complexity than the BP iterative decoder for the same SNR and BER. This low decoding complexity, low BER, and fine granularity makes it feasible for the proposed TQC-ldpc convolutional codes and associated trellis-based decoders to be efficiently implemented in high data rate, next generation mobile systems.

关键词： ldpc convolutional coding spatially-coupled ldpc decoding complexity WiGig Viterbi decoder

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：